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Advances in Motivation in Sport and Exercise
Edited by Glyn C. Roberts and Darren Treasure
480 Pages
Advances in Motivation in Sport and Exercise, Third Edition, presents the most current information in sport and exercise motivation, including discussion of new research surrounding self-determination theory and goal achievement theory, traditional topics of goal setting and self-efficacy, and newer areas of attention such as passion and perfectionism. Readers not only will gain knowledge in one of the leading areas of sport psychology research but also learn how the research can inform their current practice.
In this third edition, editors Glyn Roberts and Darren Treasure, along with a highly respected team of contributors, offer sport and exercise psychology researchers and students the most up-to-date review of the state of research in motivation. As in previous editions, the text chronicles the growth of motivation research and its role in physical activity, exercise, and sport. The star team of contributors offers thoughtful discussion of key issues and findings for readers to consider and insight into both the conceptual understanding of motivation and its application.
Advances in Motivation in Sport and Exercise, Third Edition, begins by introducing readers to new trends and interpretations in motivational theory. Each chapter of the text discusses a unique motivational theory and its contemporary contribution to the field of knowledge. Whether research or practically inclined, readers will be enlightened through the use of these features:
• Presentation of differing perspectives and approaches that make up the current state of research in the most vibrant of topics in sport and exercise psychology
• Future Directions for Research and Practical Applications sections at the end of each chapter that help demonstrate how the chapters’ content is applied to real-world practice
• An extensive reference list that serves as a tool for finding further resources and continuing study of motivation
The third edition of Advances in Motivation in Sport and Exercise helps readers learn how the theories of motivation can be applied in exercise, sport, and physical activity contexts. Thoughtfully compiled by a respected editor and contributor team, this comprehensive text serves as a review of current research and a resource for further study and applications for researchers, students, and practitioners.
Part I: Contemporary Theories of Motivation: New Directions and Interpretations
Chapter 1. Motivation in Sport and Exercise From an Achievement Goal Theory Perspective: After 30 Years, Where Are We?
Glyn C. Roberts
Motivation and Achievement Behavior
Motivational Implications of Task or Ego Involvement
Evidence Summary
Counterarguments
Counterpoints to the Counterarguments
Parsimony, Elegance, and Conceptual Coherence in Sport Psychology
And the Point Is?
Practical Applications
Directions for Future Research
Summary
Chapter 2. The Place of Achievement Goals in the Social Context of Sport: A Comparison of Nicholls’ and Elliot’s Models
Athanasios G. Papaioannou, Nikos Zourbanos, Haralampos Krommidas, and George Ampatzoglou
Review on Trichotomous and Two-by-Two Findings in Sport
A Comparison Between Elliot’s and Nicholls’ Models
Interpretation of Findings Based on the Trichotomous and Two-by-Two Models
Practical Applications
Directions for Future Research
Summary
Chapter 3. A Self-Determination Theory Perspective on Motivation in Sport and Physical Education: Current Trends and Possible Future Research Directions
Nikos Ntoumanis
Sociocontextual Environment
Satisfaction and Thwarting of Psychological Needs
Practical Applications
Directions for Future Research
Summary
Chapter 4. Perfectionism: A Foundation for Sporting Excellence or an Uneasy Pathway Toward Purgatory?
Howard K. Hall, Andrew P. Hill, and Paul R. Appleton
Perfectionism in Elite Sport Performers
Definition
Empirical Evidence of Perfectionism in Sport
Practical Applications
Directions for Future Research
Summary
Chapter 5. The Dualistic Model of Passion in Sport and Exercise
Robert J. Vallerand
Psychology of Passion
Initial Research on the Concept of Passion
Development of Passion
Passion and Intrapersonal Outcomes
Passion and Interpersonal and Intergroup Outcomes
Passionate Functioning Under Various Situations
Practical Applications
Directions for Future Research
Summary
Chapter 6. Goal Setting to Enhance Motivation in Sport
Glyn C. Roberts and Elsa Kristiansen
Goal Setting
A Search for Theory
Achievement Goal Theory
Goal Involvement
Achievement Goal Orientations
Motivational Climate
Achievement Goal Theory and Goal Setting
Why Goal Setting Works
Managing the Motivation of Others
Goal Setting as a Motivational Strategy for Injuries and Rehabilitation
Managing Individual Motivation
Practical Applications
Directions for Future Research
Summary
Part II: Understanding the Psychological Determinants and Mediators of Physical Activity Behavior
Chapter 7. Self-Determination Theory and Exercise Motivation: Facilitating Self-Regulatory Processes to Support and Maintain Health and Well-Being
Martyn Standage and Richard M. Ryan
Basic Components of SDT and Mapping of Minitheories
Self-Determination Theory in Exercise Science Research
Practical Applications
Directions for Future Research
Summary
Chapter 8. Self-efficacy and Motivation in Physical Activity and Sport: Mediating Processes and Outcomes
Todd A. Gilson and Deborah L. Feltz
Theoretical Overview of Self-Efficacy
Individual-Level Self-Efficacy Research
Collective Efficacy Research
Coaching Efficacy Research
Practical Applications
Directions for Future Research
Summary
Chapter 9. Social Cognitive Approaches to Understanding Exercise Motivation and Behavior in Cancer Survivors
Jeff K. Vallance and Kerry S. Courneya
Cancer Treatments
Exercise and Cancer Survivorship
Physical Activity Prevalence in Cancer Survivors
Exercise Motivation in Cancer Survivors
Exercise Behavior in Cancer Survivors
Theory of Planned Behavior
Social-Cognitive Theory
Self-Determination Theory
Exercise Beliefs Among Cancer Survivors
Practical Applications
Directions for Future Research
Summary
Chapter 10. Understanding Exercise Behavior: A Self-Presentational Perspective
Kathleen A. Martin Ginis and Diane Mack
Background
Evidence
Theoretical Perspectives on Self-Presentation and Exercise Motivation
Role of Self-Presentation in Exercise Motivation
Practical Applications
Directions for Future Research
Summary
Chapter 11. Interventions for Physical Activity and Sedentary Behavior
Stuart J.H. Biddle, Nanette Mutrie, Trish Gorely, and Avril Blamey
Role of Motivation: Understanding the Ecological and Behavioral Epidemiology Frameworks
Theories Typically Used in Physical Activity Interventions
Types and Settings for Interventions
Behavior Change: Issues of Theory and Interventions
A Framework for Evaluating Interventions
Intervention Planning and Evaluation
Examples of Physical Activity Behavior Change
Sedentary Behavior Change
Practical Applications
Directions for Future Research
Summary
Glyn C. Roberts, PhD, has been a professor of psychology at the Norwegian School of Sport Sciences since 1998. He was a professor of sport psychology in the department of kinesiology at the University of Illinois. His research has focused on the motivational determinants of achievement, and he has been particularly concerned with the motivation of children in the competitive sport experience. Dr. Roberts has focused on how coaches coach and how the climate the coach creates affects the motivation, achievement, and persistence of children and adolescents. He has been involved in research grants for over $2 million. He has over 200 publications, including 15 books and more than 70 book chapters. He has several distinguished scholar awards, including the Honour Award of the International Society of Sport Psychology (ISSP, 1997) and the Coleman Griffith Scholar Award for 2008 of the Association for Applied Sport Psychology (AASP). Dr. Roberts is a distinguished scholar of the North American Society for the Psychology of Sport and Physical Activity (NASPSPA, 1998). Dr. Roberts was president of NASPSPA (1981-82), president of the European Federation of Sport Psychology (1999-2003), founding president of Division 12 (Sport Psychology) of the International Association of Applied Psychology (IAAP, 1994-1998), and president of AASP (2010-11). He has also served as the secretary general of ISSP and has been on the board of directors of IAAP (1984-1996; 2006-2014). He is a fellow of the American Academy of Kinesiology and Physical Education and a founding fellow of AASP, and he is one of only two sport psychologists who have been elected a fellow of IAAP.
Darren C. Treasure, PhD, is a former tenured associate professor at Arizona State University with an appointment in the department of kinesiology and an adjunct position in the department of psychology. Darren has held faculty positions at the University of Illinois at Urbana-Champaign and Southern Illinois University at Edwardsville. He has published over 50 scientific articles and book chapters on motivation and the psychology of peak performance and made invited keynote presentations at conferences in France, Norway, Finland, and the United Kingdom. Treasure currently resides in Portland, Oregon, where he consults with Nike in the role of high-performance director for the Oregon Project, a program that provides elite-level Nike-sponsored U.S. distance runners with the coaching, sports medicine, and sport science necessary for competing at the international level and ultimately winning medals at World Championships and the Olympic Games. From 2005 to 2009 Treasure was the author and lead consultant on a high-performance initiative in the athletic department at the University of California at Berkeley that enhances coaching, sports medicine, and sport science support systems. Dr. Treasure is the author of the hugely successful National Federation of State High School Associations’ core coaching education course, Fundamentals of Coaching launched in 2007.
“As one of the only books reviewing current information on motivation in sport, exercise, and physical activity, this book contributes uniquely to the field of sport and exercise psychology and is a testament to the growth of motivation research and application.”
—Doody's Book Review
Parsimony, elegance, conceptual coherence valuable to motivation theory
One of Einstein’s famous quotes is that in science we should make everything as simple as possible, but not too simple! Parsimony in science simply means that we keep constructs as simple as possible.
Parsimony, Elegance, and Conceptual Coherence in Sport Psychology
In 2008 I was asked to give the Coleman Griffith Lecture at the annual meeting of AASP in St. Louis, Missouri, which had the title, Whatever Happened to Parsimony, Elegance, and Conceptual Coherence in Sport Psychology? I decided to argue that forsaking some fundamental attributes of science was not in the best interests of scholars and practitioners in sport psychology. I believe that there is value in maintaining the attributes of parsimony, elegance, and conceptual coherence. Let me explain.
Parsimony
One of Einstein's famous quotes is that in science we should make everything as simple as possible, but not too simple! Parsimony in science simply means that we keep constructs as simple as possible. In my Coleman Griffith talk, I argued that there is a trend in sport psychology to make constructs more complex than they need to be. Some of this results from the natural desire to make constructs more applicable to the sport context, such as the efforts of Harwood and colleagues, but scholars often do not realize that by making things more “relevant” to sport they also make the constructs more complex and cause a subsequent loss of parsimony. McFee, a philosopher of science, is harshly critical of scholars in sport psychology because of their penchant for explaining phenomena with “boxes and arrows” and making things more complex than they should be (McFee, 2005). He argues that he is against the “boxes” mentality prevalent in sport psychology, where what is hoped for is a graphic model of boxes connected by arrows, as though sport psychologists knew what the boxes and arrows meant. In my address I gave several examples of complex multilevel theories (e.g., Vallerand, 2001; the hierarchical model of motivation derived from self-determination theory) of this trend toward complexity, in addition to the work of Elliot and colleagues (e.g., 1999) and Harwood and colleagues (e.g., 2008), which I criticized earlier. Is this trend toward complexity one that we should follow?
In her profile of Nobel Prize winners, Zuckerman (1977) gave several attributes of the typical prize winner, but one common attribute is particularly noteworthy: They see simplicity where other people see complexity. As an example, when Crick and Watson (1953) in their quest to discover the structure of the DNA molecule published their model of the double helix, Maurice Wilkins (a fellow scientist who was a rival in the quest) was surprised to see how simple the model was and is quoted to have said, “How simple, how elegant” (Watson, 1996). The quest for expanded frameworks might be valuable because we may be able to provide a better description of the complexity of motivation processes, but a cost is often present, and part of that cost is a loss of parsimony! It is well for sport scientists to remember the famous saying of William of Occam (1285-1347): “Entities are not to be multiplied beyond necessity.” Known as Occam's Razor, it is a call for parsimony, which is sometimes ignored.
There are many examples of scientists in psychology “seeing simplicity” when others had noticed only complexity. These examples spur research into the phenomenon and allow us to understand it better. The example of the social facilitation paradigm is a case in point. Historically, scientists had noted that the presence of others sometimes facilitated and sometimes inhibited the performance of individuals on a variety of tasks (e.g., Triplett, 1897). But in his review of the findings, Zajonc (1965) saw simplicity when he realized that learning tasks were inhibited by the presence of others, whereas performance tasks or simple tasks were facilitated by the presence of others. Further, he argued, the presence of others creates arousal and arousal facilitates the dominant response. When learning, the dominant response was incorrect; when performing, the dominant response was correct. This simple insight suddenly made sense of the previous 70 years of conflicting research. This ability to see simplicity sometimes gives a conceptual insight into psychological (and other disciplinary) mechanisms.
Elegance
Again, Crick and Watson (1953) give a classic example of elegance, which is the attribute of being simple but profound in its implications. In their article in Nature, they concluded by stating that it had not escaped their notice that the specific pairing of the double helix they had postulated suggested a possible copying mechanism for the genetic material! As we now know, this was the most profound scientific finding of the 20th century. The double helix solution was elegant in that it gave clear theoretical and practical meaning and changed our understanding of biological systems. Indeed, it was the birth of modern biology.
We can find many examples in psychology, too. One elegant theory is the social facilitation paradigm (Zajonc, 1965), which I discussed earlier. Zajonc demonstrated his elegant conceptual explanation with an elegant experiment. He had two groups of participants learn a complex task over many trials. One group did it in the presence of others, and the control group learned the task alone. Zajonc demonstrated that performing in the presence of others inhibited learning but facilitated later performance when compared to the control group: A simple but elegant and profound experiment demonstrated his theory. This experiment, and the later research that it stimulated (e.g., Martens, 1969), gave us insight into the reasons arousal and evaluative anxiety inhibited learning on motor tasks.
Another example of a parsimonious and elegant construct is self-efficacy (e.g., Bandura, 1977b). Self-efficacy cognitions represent a person's convictions or beliefs that he or she can successfully execute a course of action to produce a certain outcome. It is likened to a situation-specific self-confidence. But in this context, it is a simple but elegant construct that has stimulated a great deal of research into the determinants of motivation in exercise and physical activity (see Gilson & Feltz, this volume). And, of course, as I have been trying to expound, achievement goal theory in its original form is a parsimonious and elegant theory, too.
Conceptual Coherence
Parsimony and elegance are valued attributes for a theory, but conceptual coherence is an essential attribute! As we all know, theory gives meaning to data. Having an empirical paradigm that is weak on coherent constructs is not a desirable paradigm. These empirical paradigms with weak constructs, or constructs that lack conceptual coherence, are what produce the random noise in the literature against which the true signal of advancement is difficult to discern (Roberts, 1989). I must confess that in my experience with doctoral students, I find that they generally become sophisticated in research methods and statistical analyses but often struggle with understanding the psychological constructs and mechanisms about how things work psychologically. My favorite question to students who are preparing a research agenda is to ask them how they know that they are asking the right questions, or even important ones? I am reminded of the adage, If it is not worth doing, it is not worth doing well! The most important task that we can do as mentors of doctoral students is to make certain they understand that theory gives meaning to data and that statistical and research sophistication are secondary and merely tools to demonstrate the meaningfulness of theory. But they must do more than use “just any theory.” Is the theory coherent and meaningful to the question being asked? All of us have to make our own decisions about what constructs give meaning to the research that we are undertaking. My argument here is that the conceptual base should be coherent!
As an example, at the 2009 ISSP Congress in Marrakesh, Ed Deci was asked to react to some research papers, using self-determination theory as the conceptual base. When one researcher used self-determination theory to overlay his own theory to add impetus to his normal theoretical paradigm, Deci commented that it did not make much sense to do that because the theories were quite different in their conceptual base. His point was that it was better to build constructs within the conceptual paradigm used to capture the dynamics of the question being asked rather than bring in another theory and overlay the constructs of that theory over the original constructs. In other words, to give meaning to data, the theory must be conceptually coherent!
Achievement goal theory is a social-cognitive theory that was developed from the learned helplessness (mastery versus helplessness) research of Dweck (e.g., 1975), the cooperation-competition research of Ames (e.g., 1984a), the motivation research of Maehr (e.g., 1983) and the work of Nicholls (e.g., 1978) on the various conceptions of ability that children held. From this research, Nicholls saw simplicity where others had seen complexity and presented the parsimonious constructs that we all know today. Nicholls' unique contribution was to recognize that two understandings of ability existed and that previous theories had assumed one or the other. For example, self-efficacy (see Gilson & Feltz, this volume) assumes a task-involving conception of ability, whereas attribution theory (e.g., Weiner, 1972) assumes an ego-involving conception of ability. Nicholls, Maehr, Ames, and Dweck developed a theory (with their own interpretations) that recognized that both conceptions of ability need to be inherent in the theory. In addition, they recognized that individual difference variables (goal orientations) and contextual dynamics (motivational climate) were part of the same conceptual paradigm. That is the elegance of achievement goal theory. By recognizing that we each use task- or ego-involving conceptions of ability depending on the context, we have a conceptually coherent theory that encompasses both versions of the definition of success and embraces both individual difference variables (goal orientations) and the effect of the situation (motivational climate) on achievement striving.
Strategies for improving evidence of physical activity intervention effectiveness
There are several reasons for the current limitations in the evidence base and for the disappointing effect of some commonly utilized interventions (Blamey & Mutrie, 2004).
Intervention Planning and Evaluation
As highlighted in previously cited reviews (Kahn et al., 2002; Ogilvie et al., 2007), there is a need for enhanced evidence of what works in terms of promoting physical activity in the real world, that is, intervention effectiveness. There are several reasons for the current limitations in the evidence base and for the disappointing effect of some commonly utilized interventions (Blamey & Mutrie, 2004). These reasons include limitations in planning and implementation such as
- a lack of theory-driven interventions (those informed by psychological or behavioral theory that are appropriately tailored and targeted) and
- intervention plans that do not explicitly detail the following:
- the anticipated steps between the selected intervention activities and the long-term outcomes (e.g., the short and interim outcomes), nor describe the actual mechanisms or psychological concepts, or mediators or correlates of behavior change that the planned activities are anticipated to trigger or change in their target population;
- the likely reach of the interventions and the levels of exposure to the intervention that targeted participants will experience;
- the evidence upon which the intervention activities are based; and
- issues related to implementation failure, such as a lack of targeting and tailoring, or not delivering the intervention according to the evidence-informed plans agreed upon or in a consistent manner across multiple sites.
Additional explanations for the gaps in evidence are, in part, caused by evaluation issues such as a lack of an evaluative culture in many of our public sector agencies tasked with promoting physical activity, poor quality of many of the evaluations conducted, and a tendency to present evaluation findings without reflecting on where programs have been successful for some participants but not others and the underlying reasons for this (e.g., differential motivations and mediators for various target groups).
In an attempt to address these issues and improve the planning, implementation, and evaluation of social interventions, increasing emphasis has been placed on outcome-focused planning, improved process evaluation, and evaluation approaches that attempt to enhance attribution in complex real-life interventions (where controlled experiments are more difficult to conduct). The latter evaluation approaches are often referred to as theory based. These evaluation approaches, exemplified by theories of change and realistic evaluation (Blamey & Mackenzie, 2007; Fulbright-Anderson, Kubisch, & Connell, 1998; Pawson & Tilley, 1997), attempt to uncover the program theories (e.g., the prescriptive theory or program activities and their postulated links to the outcomes), as well as the more descriptive theories (e.g., the likely causal mechanisms that will motivate behavior change, such as reduction of known barriers to physical activity, like cost or time, or changes in psychological concepts or mediators) (Chen, 1990).
Outcome-focused planning encourages planning from right to left, meaning that plans detail the specific long-term outcomes and the interim and short-term outcomes that will be needed to achieve them. These outcomes then drive the selection of activities. The activities and interventions are, in turn, influenced by evidence (in terms of evaluative learning, review evidence, and tacit experience) of their likely effect on the agreed outcomes and for specific target groups. The reality is that planning processes in many public agencies are more influenced by left to right thinking—in other words, What can we achieve through the activities that we currently offer?
Evaluation approaches linked to theory, more so than traditional evaluation approaches, seek to understand the prescriptive and descriptive theory of an intervention (Chen, 1990; Weiss, 1998) by explicating the detailed program plans and their underlying assumptions about the psychological concepts and mediators that their planned activities are trying to change. As highlighted earlier, the uncovered theories are then used to drive the design of the subsequent evaluation and the methods that it will use. These approaches attempt, where feasible, to forge explicit links between process and outcome evaluation data and findings so that changes in longer-term outcomes might be more convincingly explained by data from the detailed process evaluation. As an example, changes in participants' levels of fitness and their disease risk factors, such as reduced hypertension or cholesterolemia, would more convincingly be seen to have resulted from their participation on an exercise referral program if detailed information was available about their attendance and adherence.
Theory-based evaluations would also ideally try to strengthen the underlying descriptive theory of the program by testing what key mediators had changed in those showing positive outcomes compared with those who did not. This might involve analyzing the changes in mediators (e.g., self-efficacy or attitudes) for these two groups and their explanation for these changes or exposure to particular aspects of the intervention (e.g., access to accurate knowledge or support from significant others, changed social norms because of family or peer support and approval) (see next section on mediation analysis). The limitations in planning processes detailed earlier and subsequently, however, often limit the extent to which evaluations are actually used to refine and enhance descriptive theory.
Both outcome-focused planning and theory-driven evaluations often use tools such as logic modeling (W.K. Kellogg Foundation, 2001) and the RE-AIM framework (Estabrooks & Gyurcsik, 2003; Glasgow, Vogt, & Boles, 1999) to enhance implementation plans. Where detailed plans and theories are not already available, theory-based evaluators often use such tools to develop an evaluation framework, identify key evaluation questions, and focus the subsequent design and methods. These approaches encourage right to left thinking so that the outcomes drive the selection of activities. They can help bring evaluative thinking into program design and thus test the linkages between activities and short-term, interim, and long-term outcomes through reference to available evidence and tacit professional or participant knowledge. The combination of such tools and approaches encourages greater consideration during planning of the prescriptive and descriptive theory, or the how (which intervention activities) and why (by changing the moderators or barriers) of behavior change.
If our existing evidence base for physical activity promotion is to be enhanced, those designing, planning, implementing, and evaluating interventions need to use the tools and approaches encouraged in outcome-focused planning and theory-driven evaluation and to consider more closely how different types of theory (prescriptive and descriptive) influence behavior change.
Applying the dualistic model of passion in sport and exercise
Although some nuances were found, research reviewed in this chapter has shown that harmonious passion is generally associated with more positive consequences than obsessive passion is. It would therefore seem appropriate to propose ways of facilitating harmonious passion.
Practical Applications
Although some nuances were found, research reviewed in this chapter has shown that harmonious passion is generally associated with more positive consequences than obsessive passion is. It would therefore seem appropriate to propose ways of facilitating harmonious passion. To promote harmonious passion, the three-step process at the core of the development of passion (see Mageau, Vallerand, Charest, et al., 2009) can be used. The three steps are, respectively, (1) activity selection, (2) activity valuation, and (3) the internalization of the activity representation in a person's identity. As seen previously, the role of the social environment at each of the three stages is crucial. Adults are in a prime position to promote children's harmonious passion, especially if they nurture children's need for autonomy and relatedness. With respect to the first step of activity selection, parents and physical educators should encourage children to perform a variety of sport activities, especially at a relatively young age (3-6 years). Later on (age 7-10 years), parents can register their children for a different activity each term. When they have tried a variety of activities and have developed sufficient knowledge to make decisions (perhaps around age 10 to 13 years), children can be encouraged to decide for themselves which activity they would like to engage in for the season. Such a variety of experiences may translate into a greater likelihood of selecting an activity that is a good fit with the child's identity and will thus later become a passion (see Mageau et al., 2009). Enjoyable experiences devoid of pressure and coercion in which children are provided with autonomy support and have the opportunity to choose by themselves their sport activity should set the stage for harmonious passion to blossom. In contrast, pressure or coercion to engage in sport or physical activity is likely to lead to the development of either amotivation (or the loss of motivation) or an obsessive passion toward the sport.
Autonomy support is also recommended for the other two stages of passion development. For instance, with respect to the second step in the passion development process, namely valuation of the selected sport activity, noncontrolling and supportive parents, physical educators, and coaches who preach by example and serve as models (e.g., Bandura, 1977a) may provide the necessary impetus to lead the young athletes to invest further in the sport activity and value it even more. The role of peers should not be underestimated because friends' influence becomes increasingly important as children move toward puberty (Damon, 1988). It should not be surprising that players on the same team have similar levels and types of passion in part because of the coach's influence but also because of the modeling influence that teammates provide. Such influence may lead to the internalization of the prevalent type of passion in that particular team environment. Similarly, a harmonious passion is likely to develop if the internalization process takes place in social environments (e.g., parents, friends, and especially coaches) that promote children's sense of autonomy (Deci & Ryan, 1987, 2000) by providing opportunities for choices, ownership, or “voice” regarding decisions and behaviors. For example, athletes who have recently started cross country running would be more likely to develop a harmonious passion toward this sport if their coach clearly explains to them why it is important to practice daily and gives them opportunities to choose among various practice regimens. Conversely, chances are that the same athletes would either lose their motivation for running or develop an obsessive passion if their coach pressures or coerces them to practice more or fails to explain the purpose of various training exercises.
Finally, practitioners and coaches who work with elite athletes should keep in mind that providing autonomy support is also important with high-level athletes. Indeed, by helping athletes feel autonomous by allowing them to provide input in game decisions (perhaps in the manner of Phil Jackson of the Los Angeles Lakers), the coach is likely to help maintain athletes' harmonious passion, facilitate a high level of performance, and create positive coach-athlete relationships. Coaches and consultants may believe that it is appropriate to be controlling toward high elite and professional athletes because such practices may enhance performance. Although the evidence presented in this chapter does not indicate that being controlling necessarily undermines performance, it does indicate that such behavior is likely to lead to obsessive passion and thus to some negative outcomes, such as lower levels of psychological, health, and relational well-being in athletes. In turn, negative coach-athlete relationships may have ill effects on cohesion, indirectly and negatively affect performance, and even cost the coach her or his job. Thus, creating an autonomy supportive environment may go a long way in providing positive outcomes for both athletes and coaches.
Parsimony, elegance, conceptual coherence valuable to motivation theory
One of Einstein’s famous quotes is that in science we should make everything as simple as possible, but not too simple! Parsimony in science simply means that we keep constructs as simple as possible.
Parsimony, Elegance, and Conceptual Coherence in Sport Psychology
In 2008 I was asked to give the Coleman Griffith Lecture at the annual meeting of AASP in St. Louis, Missouri, which had the title, Whatever Happened to Parsimony, Elegance, and Conceptual Coherence in Sport Psychology? I decided to argue that forsaking some fundamental attributes of science was not in the best interests of scholars and practitioners in sport psychology. I believe that there is value in maintaining the attributes of parsimony, elegance, and conceptual coherence. Let me explain.
Parsimony
One of Einstein's famous quotes is that in science we should make everything as simple as possible, but not too simple! Parsimony in science simply means that we keep constructs as simple as possible. In my Coleman Griffith talk, I argued that there is a trend in sport psychology to make constructs more complex than they need to be. Some of this results from the natural desire to make constructs more applicable to the sport context, such as the efforts of Harwood and colleagues, but scholars often do not realize that by making things more “relevant” to sport they also make the constructs more complex and cause a subsequent loss of parsimony. McFee, a philosopher of science, is harshly critical of scholars in sport psychology because of their penchant for explaining phenomena with “boxes and arrows” and making things more complex than they should be (McFee, 2005). He argues that he is against the “boxes” mentality prevalent in sport psychology, where what is hoped for is a graphic model of boxes connected by arrows, as though sport psychologists knew what the boxes and arrows meant. In my address I gave several examples of complex multilevel theories (e.g., Vallerand, 2001; the hierarchical model of motivation derived from self-determination theory) of this trend toward complexity, in addition to the work of Elliot and colleagues (e.g., 1999) and Harwood and colleagues (e.g., 2008), which I criticized earlier. Is this trend toward complexity one that we should follow?
In her profile of Nobel Prize winners, Zuckerman (1977) gave several attributes of the typical prize winner, but one common attribute is particularly noteworthy: They see simplicity where other people see complexity. As an example, when Crick and Watson (1953) in their quest to discover the structure of the DNA molecule published their model of the double helix, Maurice Wilkins (a fellow scientist who was a rival in the quest) was surprised to see how simple the model was and is quoted to have said, “How simple, how elegant” (Watson, 1996). The quest for expanded frameworks might be valuable because we may be able to provide a better description of the complexity of motivation processes, but a cost is often present, and part of that cost is a loss of parsimony! It is well for sport scientists to remember the famous saying of William of Occam (1285-1347): “Entities are not to be multiplied beyond necessity.” Known as Occam's Razor, it is a call for parsimony, which is sometimes ignored.
There are many examples of scientists in psychology “seeing simplicity” when others had noticed only complexity. These examples spur research into the phenomenon and allow us to understand it better. The example of the social facilitation paradigm is a case in point. Historically, scientists had noted that the presence of others sometimes facilitated and sometimes inhibited the performance of individuals on a variety of tasks (e.g., Triplett, 1897). But in his review of the findings, Zajonc (1965) saw simplicity when he realized that learning tasks were inhibited by the presence of others, whereas performance tasks or simple tasks were facilitated by the presence of others. Further, he argued, the presence of others creates arousal and arousal facilitates the dominant response. When learning, the dominant response was incorrect; when performing, the dominant response was correct. This simple insight suddenly made sense of the previous 70 years of conflicting research. This ability to see simplicity sometimes gives a conceptual insight into psychological (and other disciplinary) mechanisms.
Elegance
Again, Crick and Watson (1953) give a classic example of elegance, which is the attribute of being simple but profound in its implications. In their article in Nature, they concluded by stating that it had not escaped their notice that the specific pairing of the double helix they had postulated suggested a possible copying mechanism for the genetic material! As we now know, this was the most profound scientific finding of the 20th century. The double helix solution was elegant in that it gave clear theoretical and practical meaning and changed our understanding of biological systems. Indeed, it was the birth of modern biology.
We can find many examples in psychology, too. One elegant theory is the social facilitation paradigm (Zajonc, 1965), which I discussed earlier. Zajonc demonstrated his elegant conceptual explanation with an elegant experiment. He had two groups of participants learn a complex task over many trials. One group did it in the presence of others, and the control group learned the task alone. Zajonc demonstrated that performing in the presence of others inhibited learning but facilitated later performance when compared to the control group: A simple but elegant and profound experiment demonstrated his theory. This experiment, and the later research that it stimulated (e.g., Martens, 1969), gave us insight into the reasons arousal and evaluative anxiety inhibited learning on motor tasks.
Another example of a parsimonious and elegant construct is self-efficacy (e.g., Bandura, 1977b). Self-efficacy cognitions represent a person's convictions or beliefs that he or she can successfully execute a course of action to produce a certain outcome. It is likened to a situation-specific self-confidence. But in this context, it is a simple but elegant construct that has stimulated a great deal of research into the determinants of motivation in exercise and physical activity (see Gilson & Feltz, this volume). And, of course, as I have been trying to expound, achievement goal theory in its original form is a parsimonious and elegant theory, too.
Conceptual Coherence
Parsimony and elegance are valued attributes for a theory, but conceptual coherence is an essential attribute! As we all know, theory gives meaning to data. Having an empirical paradigm that is weak on coherent constructs is not a desirable paradigm. These empirical paradigms with weak constructs, or constructs that lack conceptual coherence, are what produce the random noise in the literature against which the true signal of advancement is difficult to discern (Roberts, 1989). I must confess that in my experience with doctoral students, I find that they generally become sophisticated in research methods and statistical analyses but often struggle with understanding the psychological constructs and mechanisms about how things work psychologically. My favorite question to students who are preparing a research agenda is to ask them how they know that they are asking the right questions, or even important ones? I am reminded of the adage, If it is not worth doing, it is not worth doing well! The most important task that we can do as mentors of doctoral students is to make certain they understand that theory gives meaning to data and that statistical and research sophistication are secondary and merely tools to demonstrate the meaningfulness of theory. But they must do more than use “just any theory.” Is the theory coherent and meaningful to the question being asked? All of us have to make our own decisions about what constructs give meaning to the research that we are undertaking. My argument here is that the conceptual base should be coherent!
As an example, at the 2009 ISSP Congress in Marrakesh, Ed Deci was asked to react to some research papers, using self-determination theory as the conceptual base. When one researcher used self-determination theory to overlay his own theory to add impetus to his normal theoretical paradigm, Deci commented that it did not make much sense to do that because the theories were quite different in their conceptual base. His point was that it was better to build constructs within the conceptual paradigm used to capture the dynamics of the question being asked rather than bring in another theory and overlay the constructs of that theory over the original constructs. In other words, to give meaning to data, the theory must be conceptually coherent!
Achievement goal theory is a social-cognitive theory that was developed from the learned helplessness (mastery versus helplessness) research of Dweck (e.g., 1975), the cooperation-competition research of Ames (e.g., 1984a), the motivation research of Maehr (e.g., 1983) and the work of Nicholls (e.g., 1978) on the various conceptions of ability that children held. From this research, Nicholls saw simplicity where others had seen complexity and presented the parsimonious constructs that we all know today. Nicholls' unique contribution was to recognize that two understandings of ability existed and that previous theories had assumed one or the other. For example, self-efficacy (see Gilson & Feltz, this volume) assumes a task-involving conception of ability, whereas attribution theory (e.g., Weiner, 1972) assumes an ego-involving conception of ability. Nicholls, Maehr, Ames, and Dweck developed a theory (with their own interpretations) that recognized that both conceptions of ability need to be inherent in the theory. In addition, they recognized that individual difference variables (goal orientations) and contextual dynamics (motivational climate) were part of the same conceptual paradigm. That is the elegance of achievement goal theory. By recognizing that we each use task- or ego-involving conceptions of ability depending on the context, we have a conceptually coherent theory that encompasses both versions of the definition of success and embraces both individual difference variables (goal orientations) and the effect of the situation (motivational climate) on achievement striving.
Strategies for improving evidence of physical activity intervention effectiveness
There are several reasons for the current limitations in the evidence base and for the disappointing effect of some commonly utilized interventions (Blamey & Mutrie, 2004).
Intervention Planning and Evaluation
As highlighted in previously cited reviews (Kahn et al., 2002; Ogilvie et al., 2007), there is a need for enhanced evidence of what works in terms of promoting physical activity in the real world, that is, intervention effectiveness. There are several reasons for the current limitations in the evidence base and for the disappointing effect of some commonly utilized interventions (Blamey & Mutrie, 2004). These reasons include limitations in planning and implementation such as
- a lack of theory-driven interventions (those informed by psychological or behavioral theory that are appropriately tailored and targeted) and
- intervention plans that do not explicitly detail the following:
- the anticipated steps between the selected intervention activities and the long-term outcomes (e.g., the short and interim outcomes), nor describe the actual mechanisms or psychological concepts, or mediators or correlates of behavior change that the planned activities are anticipated to trigger or change in their target population;
- the likely reach of the interventions and the levels of exposure to the intervention that targeted participants will experience;
- the evidence upon which the intervention activities are based; and
- issues related to implementation failure, such as a lack of targeting and tailoring, or not delivering the intervention according to the evidence-informed plans agreed upon or in a consistent manner across multiple sites.
Additional explanations for the gaps in evidence are, in part, caused by evaluation issues such as a lack of an evaluative culture in many of our public sector agencies tasked with promoting physical activity, poor quality of many of the evaluations conducted, and a tendency to present evaluation findings without reflecting on where programs have been successful for some participants but not others and the underlying reasons for this (e.g., differential motivations and mediators for various target groups).
In an attempt to address these issues and improve the planning, implementation, and evaluation of social interventions, increasing emphasis has been placed on outcome-focused planning, improved process evaluation, and evaluation approaches that attempt to enhance attribution in complex real-life interventions (where controlled experiments are more difficult to conduct). The latter evaluation approaches are often referred to as theory based. These evaluation approaches, exemplified by theories of change and realistic evaluation (Blamey & Mackenzie, 2007; Fulbright-Anderson, Kubisch, & Connell, 1998; Pawson & Tilley, 1997), attempt to uncover the program theories (e.g., the prescriptive theory or program activities and their postulated links to the outcomes), as well as the more descriptive theories (e.g., the likely causal mechanisms that will motivate behavior change, such as reduction of known barriers to physical activity, like cost or time, or changes in psychological concepts or mediators) (Chen, 1990).
Outcome-focused planning encourages planning from right to left, meaning that plans detail the specific long-term outcomes and the interim and short-term outcomes that will be needed to achieve them. These outcomes then drive the selection of activities. The activities and interventions are, in turn, influenced by evidence (in terms of evaluative learning, review evidence, and tacit experience) of their likely effect on the agreed outcomes and for specific target groups. The reality is that planning processes in many public agencies are more influenced by left to right thinking—in other words, What can we achieve through the activities that we currently offer?
Evaluation approaches linked to theory, more so than traditional evaluation approaches, seek to understand the prescriptive and descriptive theory of an intervention (Chen, 1990; Weiss, 1998) by explicating the detailed program plans and their underlying assumptions about the psychological concepts and mediators that their planned activities are trying to change. As highlighted earlier, the uncovered theories are then used to drive the design of the subsequent evaluation and the methods that it will use. These approaches attempt, where feasible, to forge explicit links between process and outcome evaluation data and findings so that changes in longer-term outcomes might be more convincingly explained by data from the detailed process evaluation. As an example, changes in participants' levels of fitness and their disease risk factors, such as reduced hypertension or cholesterolemia, would more convincingly be seen to have resulted from their participation on an exercise referral program if detailed information was available about their attendance and adherence.
Theory-based evaluations would also ideally try to strengthen the underlying descriptive theory of the program by testing what key mediators had changed in those showing positive outcomes compared with those who did not. This might involve analyzing the changes in mediators (e.g., self-efficacy or attitudes) for these two groups and their explanation for these changes or exposure to particular aspects of the intervention (e.g., access to accurate knowledge or support from significant others, changed social norms because of family or peer support and approval) (see next section on mediation analysis). The limitations in planning processes detailed earlier and subsequently, however, often limit the extent to which evaluations are actually used to refine and enhance descriptive theory.
Both outcome-focused planning and theory-driven evaluations often use tools such as logic modeling (W.K. Kellogg Foundation, 2001) and the RE-AIM framework (Estabrooks & Gyurcsik, 2003; Glasgow, Vogt, & Boles, 1999) to enhance implementation plans. Where detailed plans and theories are not already available, theory-based evaluators often use such tools to develop an evaluation framework, identify key evaluation questions, and focus the subsequent design and methods. These approaches encourage right to left thinking so that the outcomes drive the selection of activities. They can help bring evaluative thinking into program design and thus test the linkages between activities and short-term, interim, and long-term outcomes through reference to available evidence and tacit professional or participant knowledge. The combination of such tools and approaches encourages greater consideration during planning of the prescriptive and descriptive theory, or the how (which intervention activities) and why (by changing the moderators or barriers) of behavior change.
If our existing evidence base for physical activity promotion is to be enhanced, those designing, planning, implementing, and evaluating interventions need to use the tools and approaches encouraged in outcome-focused planning and theory-driven evaluation and to consider more closely how different types of theory (prescriptive and descriptive) influence behavior change.
Applying the dualistic model of passion in sport and exercise
Although some nuances were found, research reviewed in this chapter has shown that harmonious passion is generally associated with more positive consequences than obsessive passion is. It would therefore seem appropriate to propose ways of facilitating harmonious passion.
Practical Applications
Although some nuances were found, research reviewed in this chapter has shown that harmonious passion is generally associated with more positive consequences than obsessive passion is. It would therefore seem appropriate to propose ways of facilitating harmonious passion. To promote harmonious passion, the three-step process at the core of the development of passion (see Mageau, Vallerand, Charest, et al., 2009) can be used. The three steps are, respectively, (1) activity selection, (2) activity valuation, and (3) the internalization of the activity representation in a person's identity. As seen previously, the role of the social environment at each of the three stages is crucial. Adults are in a prime position to promote children's harmonious passion, especially if they nurture children's need for autonomy and relatedness. With respect to the first step of activity selection, parents and physical educators should encourage children to perform a variety of sport activities, especially at a relatively young age (3-6 years). Later on (age 7-10 years), parents can register their children for a different activity each term. When they have tried a variety of activities and have developed sufficient knowledge to make decisions (perhaps around age 10 to 13 years), children can be encouraged to decide for themselves which activity they would like to engage in for the season. Such a variety of experiences may translate into a greater likelihood of selecting an activity that is a good fit with the child's identity and will thus later become a passion (see Mageau et al., 2009). Enjoyable experiences devoid of pressure and coercion in which children are provided with autonomy support and have the opportunity to choose by themselves their sport activity should set the stage for harmonious passion to blossom. In contrast, pressure or coercion to engage in sport or physical activity is likely to lead to the development of either amotivation (or the loss of motivation) or an obsessive passion toward the sport.
Autonomy support is also recommended for the other two stages of passion development. For instance, with respect to the second step in the passion development process, namely valuation of the selected sport activity, noncontrolling and supportive parents, physical educators, and coaches who preach by example and serve as models (e.g., Bandura, 1977a) may provide the necessary impetus to lead the young athletes to invest further in the sport activity and value it even more. The role of peers should not be underestimated because friends' influence becomes increasingly important as children move toward puberty (Damon, 1988). It should not be surprising that players on the same team have similar levels and types of passion in part because of the coach's influence but also because of the modeling influence that teammates provide. Such influence may lead to the internalization of the prevalent type of passion in that particular team environment. Similarly, a harmonious passion is likely to develop if the internalization process takes place in social environments (e.g., parents, friends, and especially coaches) that promote children's sense of autonomy (Deci & Ryan, 1987, 2000) by providing opportunities for choices, ownership, or “voice” regarding decisions and behaviors. For example, athletes who have recently started cross country running would be more likely to develop a harmonious passion toward this sport if their coach clearly explains to them why it is important to practice daily and gives them opportunities to choose among various practice regimens. Conversely, chances are that the same athletes would either lose their motivation for running or develop an obsessive passion if their coach pressures or coerces them to practice more or fails to explain the purpose of various training exercises.
Finally, practitioners and coaches who work with elite athletes should keep in mind that providing autonomy support is also important with high-level athletes. Indeed, by helping athletes feel autonomous by allowing them to provide input in game decisions (perhaps in the manner of Phil Jackson of the Los Angeles Lakers), the coach is likely to help maintain athletes' harmonious passion, facilitate a high level of performance, and create positive coach-athlete relationships. Coaches and consultants may believe that it is appropriate to be controlling toward high elite and professional athletes because such practices may enhance performance. Although the evidence presented in this chapter does not indicate that being controlling necessarily undermines performance, it does indicate that such behavior is likely to lead to obsessive passion and thus to some negative outcomes, such as lower levels of psychological, health, and relational well-being in athletes. In turn, negative coach-athlete relationships may have ill effects on cohesion, indirectly and negatively affect performance, and even cost the coach her or his job. Thus, creating an autonomy supportive environment may go a long way in providing positive outcomes for both athletes and coaches.
Parsimony, elegance, conceptual coherence valuable to motivation theory
One of Einstein’s famous quotes is that in science we should make everything as simple as possible, but not too simple! Parsimony in science simply means that we keep constructs as simple as possible.
Parsimony, Elegance, and Conceptual Coherence in Sport Psychology
In 2008 I was asked to give the Coleman Griffith Lecture at the annual meeting of AASP in St. Louis, Missouri, which had the title, Whatever Happened to Parsimony, Elegance, and Conceptual Coherence in Sport Psychology? I decided to argue that forsaking some fundamental attributes of science was not in the best interests of scholars and practitioners in sport psychology. I believe that there is value in maintaining the attributes of parsimony, elegance, and conceptual coherence. Let me explain.
Parsimony
One of Einstein's famous quotes is that in science we should make everything as simple as possible, but not too simple! Parsimony in science simply means that we keep constructs as simple as possible. In my Coleman Griffith talk, I argued that there is a trend in sport psychology to make constructs more complex than they need to be. Some of this results from the natural desire to make constructs more applicable to the sport context, such as the efforts of Harwood and colleagues, but scholars often do not realize that by making things more “relevant” to sport they also make the constructs more complex and cause a subsequent loss of parsimony. McFee, a philosopher of science, is harshly critical of scholars in sport psychology because of their penchant for explaining phenomena with “boxes and arrows” and making things more complex than they should be (McFee, 2005). He argues that he is against the “boxes” mentality prevalent in sport psychology, where what is hoped for is a graphic model of boxes connected by arrows, as though sport psychologists knew what the boxes and arrows meant. In my address I gave several examples of complex multilevel theories (e.g., Vallerand, 2001; the hierarchical model of motivation derived from self-determination theory) of this trend toward complexity, in addition to the work of Elliot and colleagues (e.g., 1999) and Harwood and colleagues (e.g., 2008), which I criticized earlier. Is this trend toward complexity one that we should follow?
In her profile of Nobel Prize winners, Zuckerman (1977) gave several attributes of the typical prize winner, but one common attribute is particularly noteworthy: They see simplicity where other people see complexity. As an example, when Crick and Watson (1953) in their quest to discover the structure of the DNA molecule published their model of the double helix, Maurice Wilkins (a fellow scientist who was a rival in the quest) was surprised to see how simple the model was and is quoted to have said, “How simple, how elegant” (Watson, 1996). The quest for expanded frameworks might be valuable because we may be able to provide a better description of the complexity of motivation processes, but a cost is often present, and part of that cost is a loss of parsimony! It is well for sport scientists to remember the famous saying of William of Occam (1285-1347): “Entities are not to be multiplied beyond necessity.” Known as Occam's Razor, it is a call for parsimony, which is sometimes ignored.
There are many examples of scientists in psychology “seeing simplicity” when others had noticed only complexity. These examples spur research into the phenomenon and allow us to understand it better. The example of the social facilitation paradigm is a case in point. Historically, scientists had noted that the presence of others sometimes facilitated and sometimes inhibited the performance of individuals on a variety of tasks (e.g., Triplett, 1897). But in his review of the findings, Zajonc (1965) saw simplicity when he realized that learning tasks were inhibited by the presence of others, whereas performance tasks or simple tasks were facilitated by the presence of others. Further, he argued, the presence of others creates arousal and arousal facilitates the dominant response. When learning, the dominant response was incorrect; when performing, the dominant response was correct. This simple insight suddenly made sense of the previous 70 years of conflicting research. This ability to see simplicity sometimes gives a conceptual insight into psychological (and other disciplinary) mechanisms.
Elegance
Again, Crick and Watson (1953) give a classic example of elegance, which is the attribute of being simple but profound in its implications. In their article in Nature, they concluded by stating that it had not escaped their notice that the specific pairing of the double helix they had postulated suggested a possible copying mechanism for the genetic material! As we now know, this was the most profound scientific finding of the 20th century. The double helix solution was elegant in that it gave clear theoretical and practical meaning and changed our understanding of biological systems. Indeed, it was the birth of modern biology.
We can find many examples in psychology, too. One elegant theory is the social facilitation paradigm (Zajonc, 1965), which I discussed earlier. Zajonc demonstrated his elegant conceptual explanation with an elegant experiment. He had two groups of participants learn a complex task over many trials. One group did it in the presence of others, and the control group learned the task alone. Zajonc demonstrated that performing in the presence of others inhibited learning but facilitated later performance when compared to the control group: A simple but elegant and profound experiment demonstrated his theory. This experiment, and the later research that it stimulated (e.g., Martens, 1969), gave us insight into the reasons arousal and evaluative anxiety inhibited learning on motor tasks.
Another example of a parsimonious and elegant construct is self-efficacy (e.g., Bandura, 1977b). Self-efficacy cognitions represent a person's convictions or beliefs that he or she can successfully execute a course of action to produce a certain outcome. It is likened to a situation-specific self-confidence. But in this context, it is a simple but elegant construct that has stimulated a great deal of research into the determinants of motivation in exercise and physical activity (see Gilson & Feltz, this volume). And, of course, as I have been trying to expound, achievement goal theory in its original form is a parsimonious and elegant theory, too.
Conceptual Coherence
Parsimony and elegance are valued attributes for a theory, but conceptual coherence is an essential attribute! As we all know, theory gives meaning to data. Having an empirical paradigm that is weak on coherent constructs is not a desirable paradigm. These empirical paradigms with weak constructs, or constructs that lack conceptual coherence, are what produce the random noise in the literature against which the true signal of advancement is difficult to discern (Roberts, 1989). I must confess that in my experience with doctoral students, I find that they generally become sophisticated in research methods and statistical analyses but often struggle with understanding the psychological constructs and mechanisms about how things work psychologically. My favorite question to students who are preparing a research agenda is to ask them how they know that they are asking the right questions, or even important ones? I am reminded of the adage, If it is not worth doing, it is not worth doing well! The most important task that we can do as mentors of doctoral students is to make certain they understand that theory gives meaning to data and that statistical and research sophistication are secondary and merely tools to demonstrate the meaningfulness of theory. But they must do more than use “just any theory.” Is the theory coherent and meaningful to the question being asked? All of us have to make our own decisions about what constructs give meaning to the research that we are undertaking. My argument here is that the conceptual base should be coherent!
As an example, at the 2009 ISSP Congress in Marrakesh, Ed Deci was asked to react to some research papers, using self-determination theory as the conceptual base. When one researcher used self-determination theory to overlay his own theory to add impetus to his normal theoretical paradigm, Deci commented that it did not make much sense to do that because the theories were quite different in their conceptual base. His point was that it was better to build constructs within the conceptual paradigm used to capture the dynamics of the question being asked rather than bring in another theory and overlay the constructs of that theory over the original constructs. In other words, to give meaning to data, the theory must be conceptually coherent!
Achievement goal theory is a social-cognitive theory that was developed from the learned helplessness (mastery versus helplessness) research of Dweck (e.g., 1975), the cooperation-competition research of Ames (e.g., 1984a), the motivation research of Maehr (e.g., 1983) and the work of Nicholls (e.g., 1978) on the various conceptions of ability that children held. From this research, Nicholls saw simplicity where others had seen complexity and presented the parsimonious constructs that we all know today. Nicholls' unique contribution was to recognize that two understandings of ability existed and that previous theories had assumed one or the other. For example, self-efficacy (see Gilson & Feltz, this volume) assumes a task-involving conception of ability, whereas attribution theory (e.g., Weiner, 1972) assumes an ego-involving conception of ability. Nicholls, Maehr, Ames, and Dweck developed a theory (with their own interpretations) that recognized that both conceptions of ability need to be inherent in the theory. In addition, they recognized that individual difference variables (goal orientations) and contextual dynamics (motivational climate) were part of the same conceptual paradigm. That is the elegance of achievement goal theory. By recognizing that we each use task- or ego-involving conceptions of ability depending on the context, we have a conceptually coherent theory that encompasses both versions of the definition of success and embraces both individual difference variables (goal orientations) and the effect of the situation (motivational climate) on achievement striving.
Strategies for improving evidence of physical activity intervention effectiveness
There are several reasons for the current limitations in the evidence base and for the disappointing effect of some commonly utilized interventions (Blamey & Mutrie, 2004).
Intervention Planning and Evaluation
As highlighted in previously cited reviews (Kahn et al., 2002; Ogilvie et al., 2007), there is a need for enhanced evidence of what works in terms of promoting physical activity in the real world, that is, intervention effectiveness. There are several reasons for the current limitations in the evidence base and for the disappointing effect of some commonly utilized interventions (Blamey & Mutrie, 2004). These reasons include limitations in planning and implementation such as
- a lack of theory-driven interventions (those informed by psychological or behavioral theory that are appropriately tailored and targeted) and
- intervention plans that do not explicitly detail the following:
- the anticipated steps between the selected intervention activities and the long-term outcomes (e.g., the short and interim outcomes), nor describe the actual mechanisms or psychological concepts, or mediators or correlates of behavior change that the planned activities are anticipated to trigger or change in their target population;
- the likely reach of the interventions and the levels of exposure to the intervention that targeted participants will experience;
- the evidence upon which the intervention activities are based; and
- issues related to implementation failure, such as a lack of targeting and tailoring, or not delivering the intervention according to the evidence-informed plans agreed upon or in a consistent manner across multiple sites.
Additional explanations for the gaps in evidence are, in part, caused by evaluation issues such as a lack of an evaluative culture in many of our public sector agencies tasked with promoting physical activity, poor quality of many of the evaluations conducted, and a tendency to present evaluation findings without reflecting on where programs have been successful for some participants but not others and the underlying reasons for this (e.g., differential motivations and mediators for various target groups).
In an attempt to address these issues and improve the planning, implementation, and evaluation of social interventions, increasing emphasis has been placed on outcome-focused planning, improved process evaluation, and evaluation approaches that attempt to enhance attribution in complex real-life interventions (where controlled experiments are more difficult to conduct). The latter evaluation approaches are often referred to as theory based. These evaluation approaches, exemplified by theories of change and realistic evaluation (Blamey & Mackenzie, 2007; Fulbright-Anderson, Kubisch, & Connell, 1998; Pawson & Tilley, 1997), attempt to uncover the program theories (e.g., the prescriptive theory or program activities and their postulated links to the outcomes), as well as the more descriptive theories (e.g., the likely causal mechanisms that will motivate behavior change, such as reduction of known barriers to physical activity, like cost or time, or changes in psychological concepts or mediators) (Chen, 1990).
Outcome-focused planning encourages planning from right to left, meaning that plans detail the specific long-term outcomes and the interim and short-term outcomes that will be needed to achieve them. These outcomes then drive the selection of activities. The activities and interventions are, in turn, influenced by evidence (in terms of evaluative learning, review evidence, and tacit experience) of their likely effect on the agreed outcomes and for specific target groups. The reality is that planning processes in many public agencies are more influenced by left to right thinking—in other words, What can we achieve through the activities that we currently offer?
Evaluation approaches linked to theory, more so than traditional evaluation approaches, seek to understand the prescriptive and descriptive theory of an intervention (Chen, 1990; Weiss, 1998) by explicating the detailed program plans and their underlying assumptions about the psychological concepts and mediators that their planned activities are trying to change. As highlighted earlier, the uncovered theories are then used to drive the design of the subsequent evaluation and the methods that it will use. These approaches attempt, where feasible, to forge explicit links between process and outcome evaluation data and findings so that changes in longer-term outcomes might be more convincingly explained by data from the detailed process evaluation. As an example, changes in participants' levels of fitness and their disease risk factors, such as reduced hypertension or cholesterolemia, would more convincingly be seen to have resulted from their participation on an exercise referral program if detailed information was available about their attendance and adherence.
Theory-based evaluations would also ideally try to strengthen the underlying descriptive theory of the program by testing what key mediators had changed in those showing positive outcomes compared with those who did not. This might involve analyzing the changes in mediators (e.g., self-efficacy or attitudes) for these two groups and their explanation for these changes or exposure to particular aspects of the intervention (e.g., access to accurate knowledge or support from significant others, changed social norms because of family or peer support and approval) (see next section on mediation analysis). The limitations in planning processes detailed earlier and subsequently, however, often limit the extent to which evaluations are actually used to refine and enhance descriptive theory.
Both outcome-focused planning and theory-driven evaluations often use tools such as logic modeling (W.K. Kellogg Foundation, 2001) and the RE-AIM framework (Estabrooks & Gyurcsik, 2003; Glasgow, Vogt, & Boles, 1999) to enhance implementation plans. Where detailed plans and theories are not already available, theory-based evaluators often use such tools to develop an evaluation framework, identify key evaluation questions, and focus the subsequent design and methods. These approaches encourage right to left thinking so that the outcomes drive the selection of activities. They can help bring evaluative thinking into program design and thus test the linkages between activities and short-term, interim, and long-term outcomes through reference to available evidence and tacit professional or participant knowledge. The combination of such tools and approaches encourages greater consideration during planning of the prescriptive and descriptive theory, or the how (which intervention activities) and why (by changing the moderators or barriers) of behavior change.
If our existing evidence base for physical activity promotion is to be enhanced, those designing, planning, implementing, and evaluating interventions need to use the tools and approaches encouraged in outcome-focused planning and theory-driven evaluation and to consider more closely how different types of theory (prescriptive and descriptive) influence behavior change.
Applying the dualistic model of passion in sport and exercise
Although some nuances were found, research reviewed in this chapter has shown that harmonious passion is generally associated with more positive consequences than obsessive passion is. It would therefore seem appropriate to propose ways of facilitating harmonious passion.
Practical Applications
Although some nuances were found, research reviewed in this chapter has shown that harmonious passion is generally associated with more positive consequences than obsessive passion is. It would therefore seem appropriate to propose ways of facilitating harmonious passion. To promote harmonious passion, the three-step process at the core of the development of passion (see Mageau, Vallerand, Charest, et al., 2009) can be used. The three steps are, respectively, (1) activity selection, (2) activity valuation, and (3) the internalization of the activity representation in a person's identity. As seen previously, the role of the social environment at each of the three stages is crucial. Adults are in a prime position to promote children's harmonious passion, especially if they nurture children's need for autonomy and relatedness. With respect to the first step of activity selection, parents and physical educators should encourage children to perform a variety of sport activities, especially at a relatively young age (3-6 years). Later on (age 7-10 years), parents can register their children for a different activity each term. When they have tried a variety of activities and have developed sufficient knowledge to make decisions (perhaps around age 10 to 13 years), children can be encouraged to decide for themselves which activity they would like to engage in for the season. Such a variety of experiences may translate into a greater likelihood of selecting an activity that is a good fit with the child's identity and will thus later become a passion (see Mageau et al., 2009). Enjoyable experiences devoid of pressure and coercion in which children are provided with autonomy support and have the opportunity to choose by themselves their sport activity should set the stage for harmonious passion to blossom. In contrast, pressure or coercion to engage in sport or physical activity is likely to lead to the development of either amotivation (or the loss of motivation) or an obsessive passion toward the sport.
Autonomy support is also recommended for the other two stages of passion development. For instance, with respect to the second step in the passion development process, namely valuation of the selected sport activity, noncontrolling and supportive parents, physical educators, and coaches who preach by example and serve as models (e.g., Bandura, 1977a) may provide the necessary impetus to lead the young athletes to invest further in the sport activity and value it even more. The role of peers should not be underestimated because friends' influence becomes increasingly important as children move toward puberty (Damon, 1988). It should not be surprising that players on the same team have similar levels and types of passion in part because of the coach's influence but also because of the modeling influence that teammates provide. Such influence may lead to the internalization of the prevalent type of passion in that particular team environment. Similarly, a harmonious passion is likely to develop if the internalization process takes place in social environments (e.g., parents, friends, and especially coaches) that promote children's sense of autonomy (Deci & Ryan, 1987, 2000) by providing opportunities for choices, ownership, or “voice” regarding decisions and behaviors. For example, athletes who have recently started cross country running would be more likely to develop a harmonious passion toward this sport if their coach clearly explains to them why it is important to practice daily and gives them opportunities to choose among various practice regimens. Conversely, chances are that the same athletes would either lose their motivation for running or develop an obsessive passion if their coach pressures or coerces them to practice more or fails to explain the purpose of various training exercises.
Finally, practitioners and coaches who work with elite athletes should keep in mind that providing autonomy support is also important with high-level athletes. Indeed, by helping athletes feel autonomous by allowing them to provide input in game decisions (perhaps in the manner of Phil Jackson of the Los Angeles Lakers), the coach is likely to help maintain athletes' harmonious passion, facilitate a high level of performance, and create positive coach-athlete relationships. Coaches and consultants may believe that it is appropriate to be controlling toward high elite and professional athletes because such practices may enhance performance. Although the evidence presented in this chapter does not indicate that being controlling necessarily undermines performance, it does indicate that such behavior is likely to lead to obsessive passion and thus to some negative outcomes, such as lower levels of psychological, health, and relational well-being in athletes. In turn, negative coach-athlete relationships may have ill effects on cohesion, indirectly and negatively affect performance, and even cost the coach her or his job. Thus, creating an autonomy supportive environment may go a long way in providing positive outcomes for both athletes and coaches.
Parsimony, elegance, conceptual coherence valuable to motivation theory
One of Einstein’s famous quotes is that in science we should make everything as simple as possible, but not too simple! Parsimony in science simply means that we keep constructs as simple as possible.
Parsimony, Elegance, and Conceptual Coherence in Sport Psychology
In 2008 I was asked to give the Coleman Griffith Lecture at the annual meeting of AASP in St. Louis, Missouri, which had the title, Whatever Happened to Parsimony, Elegance, and Conceptual Coherence in Sport Psychology? I decided to argue that forsaking some fundamental attributes of science was not in the best interests of scholars and practitioners in sport psychology. I believe that there is value in maintaining the attributes of parsimony, elegance, and conceptual coherence. Let me explain.
Parsimony
One of Einstein's famous quotes is that in science we should make everything as simple as possible, but not too simple! Parsimony in science simply means that we keep constructs as simple as possible. In my Coleman Griffith talk, I argued that there is a trend in sport psychology to make constructs more complex than they need to be. Some of this results from the natural desire to make constructs more applicable to the sport context, such as the efforts of Harwood and colleagues, but scholars often do not realize that by making things more “relevant” to sport they also make the constructs more complex and cause a subsequent loss of parsimony. McFee, a philosopher of science, is harshly critical of scholars in sport psychology because of their penchant for explaining phenomena with “boxes and arrows” and making things more complex than they should be (McFee, 2005). He argues that he is against the “boxes” mentality prevalent in sport psychology, where what is hoped for is a graphic model of boxes connected by arrows, as though sport psychologists knew what the boxes and arrows meant. In my address I gave several examples of complex multilevel theories (e.g., Vallerand, 2001; the hierarchical model of motivation derived from self-determination theory) of this trend toward complexity, in addition to the work of Elliot and colleagues (e.g., 1999) and Harwood and colleagues (e.g., 2008), which I criticized earlier. Is this trend toward complexity one that we should follow?
In her profile of Nobel Prize winners, Zuckerman (1977) gave several attributes of the typical prize winner, but one common attribute is particularly noteworthy: They see simplicity where other people see complexity. As an example, when Crick and Watson (1953) in their quest to discover the structure of the DNA molecule published their model of the double helix, Maurice Wilkins (a fellow scientist who was a rival in the quest) was surprised to see how simple the model was and is quoted to have said, “How simple, how elegant” (Watson, 1996). The quest for expanded frameworks might be valuable because we may be able to provide a better description of the complexity of motivation processes, but a cost is often present, and part of that cost is a loss of parsimony! It is well for sport scientists to remember the famous saying of William of Occam (1285-1347): “Entities are not to be multiplied beyond necessity.” Known as Occam's Razor, it is a call for parsimony, which is sometimes ignored.
There are many examples of scientists in psychology “seeing simplicity” when others had noticed only complexity. These examples spur research into the phenomenon and allow us to understand it better. The example of the social facilitation paradigm is a case in point. Historically, scientists had noted that the presence of others sometimes facilitated and sometimes inhibited the performance of individuals on a variety of tasks (e.g., Triplett, 1897). But in his review of the findings, Zajonc (1965) saw simplicity when he realized that learning tasks were inhibited by the presence of others, whereas performance tasks or simple tasks were facilitated by the presence of others. Further, he argued, the presence of others creates arousal and arousal facilitates the dominant response. When learning, the dominant response was incorrect; when performing, the dominant response was correct. This simple insight suddenly made sense of the previous 70 years of conflicting research. This ability to see simplicity sometimes gives a conceptual insight into psychological (and other disciplinary) mechanisms.
Elegance
Again, Crick and Watson (1953) give a classic example of elegance, which is the attribute of being simple but profound in its implications. In their article in Nature, they concluded by stating that it had not escaped their notice that the specific pairing of the double helix they had postulated suggested a possible copying mechanism for the genetic material! As we now know, this was the most profound scientific finding of the 20th century. The double helix solution was elegant in that it gave clear theoretical and practical meaning and changed our understanding of biological systems. Indeed, it was the birth of modern biology.
We can find many examples in psychology, too. One elegant theory is the social facilitation paradigm (Zajonc, 1965), which I discussed earlier. Zajonc demonstrated his elegant conceptual explanation with an elegant experiment. He had two groups of participants learn a complex task over many trials. One group did it in the presence of others, and the control group learned the task alone. Zajonc demonstrated that performing in the presence of others inhibited learning but facilitated later performance when compared to the control group: A simple but elegant and profound experiment demonstrated his theory. This experiment, and the later research that it stimulated (e.g., Martens, 1969), gave us insight into the reasons arousal and evaluative anxiety inhibited learning on motor tasks.
Another example of a parsimonious and elegant construct is self-efficacy (e.g., Bandura, 1977b). Self-efficacy cognitions represent a person's convictions or beliefs that he or she can successfully execute a course of action to produce a certain outcome. It is likened to a situation-specific self-confidence. But in this context, it is a simple but elegant construct that has stimulated a great deal of research into the determinants of motivation in exercise and physical activity (see Gilson & Feltz, this volume). And, of course, as I have been trying to expound, achievement goal theory in its original form is a parsimonious and elegant theory, too.
Conceptual Coherence
Parsimony and elegance are valued attributes for a theory, but conceptual coherence is an essential attribute! As we all know, theory gives meaning to data. Having an empirical paradigm that is weak on coherent constructs is not a desirable paradigm. These empirical paradigms with weak constructs, or constructs that lack conceptual coherence, are what produce the random noise in the literature against which the true signal of advancement is difficult to discern (Roberts, 1989). I must confess that in my experience with doctoral students, I find that they generally become sophisticated in research methods and statistical analyses but often struggle with understanding the psychological constructs and mechanisms about how things work psychologically. My favorite question to students who are preparing a research agenda is to ask them how they know that they are asking the right questions, or even important ones? I am reminded of the adage, If it is not worth doing, it is not worth doing well! The most important task that we can do as mentors of doctoral students is to make certain they understand that theory gives meaning to data and that statistical and research sophistication are secondary and merely tools to demonstrate the meaningfulness of theory. But they must do more than use “just any theory.” Is the theory coherent and meaningful to the question being asked? All of us have to make our own decisions about what constructs give meaning to the research that we are undertaking. My argument here is that the conceptual base should be coherent!
As an example, at the 2009 ISSP Congress in Marrakesh, Ed Deci was asked to react to some research papers, using self-determination theory as the conceptual base. When one researcher used self-determination theory to overlay his own theory to add impetus to his normal theoretical paradigm, Deci commented that it did not make much sense to do that because the theories were quite different in their conceptual base. His point was that it was better to build constructs within the conceptual paradigm used to capture the dynamics of the question being asked rather than bring in another theory and overlay the constructs of that theory over the original constructs. In other words, to give meaning to data, the theory must be conceptually coherent!
Achievement goal theory is a social-cognitive theory that was developed from the learned helplessness (mastery versus helplessness) research of Dweck (e.g., 1975), the cooperation-competition research of Ames (e.g., 1984a), the motivation research of Maehr (e.g., 1983) and the work of Nicholls (e.g., 1978) on the various conceptions of ability that children held. From this research, Nicholls saw simplicity where others had seen complexity and presented the parsimonious constructs that we all know today. Nicholls' unique contribution was to recognize that two understandings of ability existed and that previous theories had assumed one or the other. For example, self-efficacy (see Gilson & Feltz, this volume) assumes a task-involving conception of ability, whereas attribution theory (e.g., Weiner, 1972) assumes an ego-involving conception of ability. Nicholls, Maehr, Ames, and Dweck developed a theory (with their own interpretations) that recognized that both conceptions of ability need to be inherent in the theory. In addition, they recognized that individual difference variables (goal orientations) and contextual dynamics (motivational climate) were part of the same conceptual paradigm. That is the elegance of achievement goal theory. By recognizing that we each use task- or ego-involving conceptions of ability depending on the context, we have a conceptually coherent theory that encompasses both versions of the definition of success and embraces both individual difference variables (goal orientations) and the effect of the situation (motivational climate) on achievement striving.
Strategies for improving evidence of physical activity intervention effectiveness
There are several reasons for the current limitations in the evidence base and for the disappointing effect of some commonly utilized interventions (Blamey & Mutrie, 2004).
Intervention Planning and Evaluation
As highlighted in previously cited reviews (Kahn et al., 2002; Ogilvie et al., 2007), there is a need for enhanced evidence of what works in terms of promoting physical activity in the real world, that is, intervention effectiveness. There are several reasons for the current limitations in the evidence base and for the disappointing effect of some commonly utilized interventions (Blamey & Mutrie, 2004). These reasons include limitations in planning and implementation such as
- a lack of theory-driven interventions (those informed by psychological or behavioral theory that are appropriately tailored and targeted) and
- intervention plans that do not explicitly detail the following:
- the anticipated steps between the selected intervention activities and the long-term outcomes (e.g., the short and interim outcomes), nor describe the actual mechanisms or psychological concepts, or mediators or correlates of behavior change that the planned activities are anticipated to trigger or change in their target population;
- the likely reach of the interventions and the levels of exposure to the intervention that targeted participants will experience;
- the evidence upon which the intervention activities are based; and
- issues related to implementation failure, such as a lack of targeting and tailoring, or not delivering the intervention according to the evidence-informed plans agreed upon or in a consistent manner across multiple sites.
Additional explanations for the gaps in evidence are, in part, caused by evaluation issues such as a lack of an evaluative culture in many of our public sector agencies tasked with promoting physical activity, poor quality of many of the evaluations conducted, and a tendency to present evaluation findings without reflecting on where programs have been successful for some participants but not others and the underlying reasons for this (e.g., differential motivations and mediators for various target groups).
In an attempt to address these issues and improve the planning, implementation, and evaluation of social interventions, increasing emphasis has been placed on outcome-focused planning, improved process evaluation, and evaluation approaches that attempt to enhance attribution in complex real-life interventions (where controlled experiments are more difficult to conduct). The latter evaluation approaches are often referred to as theory based. These evaluation approaches, exemplified by theories of change and realistic evaluation (Blamey & Mackenzie, 2007; Fulbright-Anderson, Kubisch, & Connell, 1998; Pawson & Tilley, 1997), attempt to uncover the program theories (e.g., the prescriptive theory or program activities and their postulated links to the outcomes), as well as the more descriptive theories (e.g., the likely causal mechanisms that will motivate behavior change, such as reduction of known barriers to physical activity, like cost or time, or changes in psychological concepts or mediators) (Chen, 1990).
Outcome-focused planning encourages planning from right to left, meaning that plans detail the specific long-term outcomes and the interim and short-term outcomes that will be needed to achieve them. These outcomes then drive the selection of activities. The activities and interventions are, in turn, influenced by evidence (in terms of evaluative learning, review evidence, and tacit experience) of their likely effect on the agreed outcomes and for specific target groups. The reality is that planning processes in many public agencies are more influenced by left to right thinking—in other words, What can we achieve through the activities that we currently offer?
Evaluation approaches linked to theory, more so than traditional evaluation approaches, seek to understand the prescriptive and descriptive theory of an intervention (Chen, 1990; Weiss, 1998) by explicating the detailed program plans and their underlying assumptions about the psychological concepts and mediators that their planned activities are trying to change. As highlighted earlier, the uncovered theories are then used to drive the design of the subsequent evaluation and the methods that it will use. These approaches attempt, where feasible, to forge explicit links between process and outcome evaluation data and findings so that changes in longer-term outcomes might be more convincingly explained by data from the detailed process evaluation. As an example, changes in participants' levels of fitness and their disease risk factors, such as reduced hypertension or cholesterolemia, would more convincingly be seen to have resulted from their participation on an exercise referral program if detailed information was available about their attendance and adherence.
Theory-based evaluations would also ideally try to strengthen the underlying descriptive theory of the program by testing what key mediators had changed in those showing positive outcomes compared with those who did not. This might involve analyzing the changes in mediators (e.g., self-efficacy or attitudes) for these two groups and their explanation for these changes or exposure to particular aspects of the intervention (e.g., access to accurate knowledge or support from significant others, changed social norms because of family or peer support and approval) (see next section on mediation analysis). The limitations in planning processes detailed earlier and subsequently, however, often limit the extent to which evaluations are actually used to refine and enhance descriptive theory.
Both outcome-focused planning and theory-driven evaluations often use tools such as logic modeling (W.K. Kellogg Foundation, 2001) and the RE-AIM framework (Estabrooks & Gyurcsik, 2003; Glasgow, Vogt, & Boles, 1999) to enhance implementation plans. Where detailed plans and theories are not already available, theory-based evaluators often use such tools to develop an evaluation framework, identify key evaluation questions, and focus the subsequent design and methods. These approaches encourage right to left thinking so that the outcomes drive the selection of activities. They can help bring evaluative thinking into program design and thus test the linkages between activities and short-term, interim, and long-term outcomes through reference to available evidence and tacit professional or participant knowledge. The combination of such tools and approaches encourages greater consideration during planning of the prescriptive and descriptive theory, or the how (which intervention activities) and why (by changing the moderators or barriers) of behavior change.
If our existing evidence base for physical activity promotion is to be enhanced, those designing, planning, implementing, and evaluating interventions need to use the tools and approaches encouraged in outcome-focused planning and theory-driven evaluation and to consider more closely how different types of theory (prescriptive and descriptive) influence behavior change.
Applying the dualistic model of passion in sport and exercise
Although some nuances were found, research reviewed in this chapter has shown that harmonious passion is generally associated with more positive consequences than obsessive passion is. It would therefore seem appropriate to propose ways of facilitating harmonious passion.
Practical Applications
Although some nuances were found, research reviewed in this chapter has shown that harmonious passion is generally associated with more positive consequences than obsessive passion is. It would therefore seem appropriate to propose ways of facilitating harmonious passion. To promote harmonious passion, the three-step process at the core of the development of passion (see Mageau, Vallerand, Charest, et al., 2009) can be used. The three steps are, respectively, (1) activity selection, (2) activity valuation, and (3) the internalization of the activity representation in a person's identity. As seen previously, the role of the social environment at each of the three stages is crucial. Adults are in a prime position to promote children's harmonious passion, especially if they nurture children's need for autonomy and relatedness. With respect to the first step of activity selection, parents and physical educators should encourage children to perform a variety of sport activities, especially at a relatively young age (3-6 years). Later on (age 7-10 years), parents can register their children for a different activity each term. When they have tried a variety of activities and have developed sufficient knowledge to make decisions (perhaps around age 10 to 13 years), children can be encouraged to decide for themselves which activity they would like to engage in for the season. Such a variety of experiences may translate into a greater likelihood of selecting an activity that is a good fit with the child's identity and will thus later become a passion (see Mageau et al., 2009). Enjoyable experiences devoid of pressure and coercion in which children are provided with autonomy support and have the opportunity to choose by themselves their sport activity should set the stage for harmonious passion to blossom. In contrast, pressure or coercion to engage in sport or physical activity is likely to lead to the development of either amotivation (or the loss of motivation) or an obsessive passion toward the sport.
Autonomy support is also recommended for the other two stages of passion development. For instance, with respect to the second step in the passion development process, namely valuation of the selected sport activity, noncontrolling and supportive parents, physical educators, and coaches who preach by example and serve as models (e.g., Bandura, 1977a) may provide the necessary impetus to lead the young athletes to invest further in the sport activity and value it even more. The role of peers should not be underestimated because friends' influence becomes increasingly important as children move toward puberty (Damon, 1988). It should not be surprising that players on the same team have similar levels and types of passion in part because of the coach's influence but also because of the modeling influence that teammates provide. Such influence may lead to the internalization of the prevalent type of passion in that particular team environment. Similarly, a harmonious passion is likely to develop if the internalization process takes place in social environments (e.g., parents, friends, and especially coaches) that promote children's sense of autonomy (Deci & Ryan, 1987, 2000) by providing opportunities for choices, ownership, or “voice” regarding decisions and behaviors. For example, athletes who have recently started cross country running would be more likely to develop a harmonious passion toward this sport if their coach clearly explains to them why it is important to practice daily and gives them opportunities to choose among various practice regimens. Conversely, chances are that the same athletes would either lose their motivation for running or develop an obsessive passion if their coach pressures or coerces them to practice more or fails to explain the purpose of various training exercises.
Finally, practitioners and coaches who work with elite athletes should keep in mind that providing autonomy support is also important with high-level athletes. Indeed, by helping athletes feel autonomous by allowing them to provide input in game decisions (perhaps in the manner of Phil Jackson of the Los Angeles Lakers), the coach is likely to help maintain athletes' harmonious passion, facilitate a high level of performance, and create positive coach-athlete relationships. Coaches and consultants may believe that it is appropriate to be controlling toward high elite and professional athletes because such practices may enhance performance. Although the evidence presented in this chapter does not indicate that being controlling necessarily undermines performance, it does indicate that such behavior is likely to lead to obsessive passion and thus to some negative outcomes, such as lower levels of psychological, health, and relational well-being in athletes. In turn, negative coach-athlete relationships may have ill effects on cohesion, indirectly and negatively affect performance, and even cost the coach her or his job. Thus, creating an autonomy supportive environment may go a long way in providing positive outcomes for both athletes and coaches.
Parsimony, elegance, conceptual coherence valuable to motivation theory
One of Einstein’s famous quotes is that in science we should make everything as simple as possible, but not too simple! Parsimony in science simply means that we keep constructs as simple as possible.
Parsimony, Elegance, and Conceptual Coherence in Sport Psychology
In 2008 I was asked to give the Coleman Griffith Lecture at the annual meeting of AASP in St. Louis, Missouri, which had the title, Whatever Happened to Parsimony, Elegance, and Conceptual Coherence in Sport Psychology? I decided to argue that forsaking some fundamental attributes of science was not in the best interests of scholars and practitioners in sport psychology. I believe that there is value in maintaining the attributes of parsimony, elegance, and conceptual coherence. Let me explain.
Parsimony
One of Einstein's famous quotes is that in science we should make everything as simple as possible, but not too simple! Parsimony in science simply means that we keep constructs as simple as possible. In my Coleman Griffith talk, I argued that there is a trend in sport psychology to make constructs more complex than they need to be. Some of this results from the natural desire to make constructs more applicable to the sport context, such as the efforts of Harwood and colleagues, but scholars often do not realize that by making things more “relevant” to sport they also make the constructs more complex and cause a subsequent loss of parsimony. McFee, a philosopher of science, is harshly critical of scholars in sport psychology because of their penchant for explaining phenomena with “boxes and arrows” and making things more complex than they should be (McFee, 2005). He argues that he is against the “boxes” mentality prevalent in sport psychology, where what is hoped for is a graphic model of boxes connected by arrows, as though sport psychologists knew what the boxes and arrows meant. In my address I gave several examples of complex multilevel theories (e.g., Vallerand, 2001; the hierarchical model of motivation derived from self-determination theory) of this trend toward complexity, in addition to the work of Elliot and colleagues (e.g., 1999) and Harwood and colleagues (e.g., 2008), which I criticized earlier. Is this trend toward complexity one that we should follow?
In her profile of Nobel Prize winners, Zuckerman (1977) gave several attributes of the typical prize winner, but one common attribute is particularly noteworthy: They see simplicity where other people see complexity. As an example, when Crick and Watson (1953) in their quest to discover the structure of the DNA molecule published their model of the double helix, Maurice Wilkins (a fellow scientist who was a rival in the quest) was surprised to see how simple the model was and is quoted to have said, “How simple, how elegant” (Watson, 1996). The quest for expanded frameworks might be valuable because we may be able to provide a better description of the complexity of motivation processes, but a cost is often present, and part of that cost is a loss of parsimony! It is well for sport scientists to remember the famous saying of William of Occam (1285-1347): “Entities are not to be multiplied beyond necessity.” Known as Occam's Razor, it is a call for parsimony, which is sometimes ignored.
There are many examples of scientists in psychology “seeing simplicity” when others had noticed only complexity. These examples spur research into the phenomenon and allow us to understand it better. The example of the social facilitation paradigm is a case in point. Historically, scientists had noted that the presence of others sometimes facilitated and sometimes inhibited the performance of individuals on a variety of tasks (e.g., Triplett, 1897). But in his review of the findings, Zajonc (1965) saw simplicity when he realized that learning tasks were inhibited by the presence of others, whereas performance tasks or simple tasks were facilitated by the presence of others. Further, he argued, the presence of others creates arousal and arousal facilitates the dominant response. When learning, the dominant response was incorrect; when performing, the dominant response was correct. This simple insight suddenly made sense of the previous 70 years of conflicting research. This ability to see simplicity sometimes gives a conceptual insight into psychological (and other disciplinary) mechanisms.
Elegance
Again, Crick and Watson (1953) give a classic example of elegance, which is the attribute of being simple but profound in its implications. In their article in Nature, they concluded by stating that it had not escaped their notice that the specific pairing of the double helix they had postulated suggested a possible copying mechanism for the genetic material! As we now know, this was the most profound scientific finding of the 20th century. The double helix solution was elegant in that it gave clear theoretical and practical meaning and changed our understanding of biological systems. Indeed, it was the birth of modern biology.
We can find many examples in psychology, too. One elegant theory is the social facilitation paradigm (Zajonc, 1965), which I discussed earlier. Zajonc demonstrated his elegant conceptual explanation with an elegant experiment. He had two groups of participants learn a complex task over many trials. One group did it in the presence of others, and the control group learned the task alone. Zajonc demonstrated that performing in the presence of others inhibited learning but facilitated later performance when compared to the control group: A simple but elegant and profound experiment demonstrated his theory. This experiment, and the later research that it stimulated (e.g., Martens, 1969), gave us insight into the reasons arousal and evaluative anxiety inhibited learning on motor tasks.
Another example of a parsimonious and elegant construct is self-efficacy (e.g., Bandura, 1977b). Self-efficacy cognitions represent a person's convictions or beliefs that he or she can successfully execute a course of action to produce a certain outcome. It is likened to a situation-specific self-confidence. But in this context, it is a simple but elegant construct that has stimulated a great deal of research into the determinants of motivation in exercise and physical activity (see Gilson & Feltz, this volume). And, of course, as I have been trying to expound, achievement goal theory in its original form is a parsimonious and elegant theory, too.
Conceptual Coherence
Parsimony and elegance are valued attributes for a theory, but conceptual coherence is an essential attribute! As we all know, theory gives meaning to data. Having an empirical paradigm that is weak on coherent constructs is not a desirable paradigm. These empirical paradigms with weak constructs, or constructs that lack conceptual coherence, are what produce the random noise in the literature against which the true signal of advancement is difficult to discern (Roberts, 1989). I must confess that in my experience with doctoral students, I find that they generally become sophisticated in research methods and statistical analyses but often struggle with understanding the psychological constructs and mechanisms about how things work psychologically. My favorite question to students who are preparing a research agenda is to ask them how they know that they are asking the right questions, or even important ones? I am reminded of the adage, If it is not worth doing, it is not worth doing well! The most important task that we can do as mentors of doctoral students is to make certain they understand that theory gives meaning to data and that statistical and research sophistication are secondary and merely tools to demonstrate the meaningfulness of theory. But they must do more than use “just any theory.” Is the theory coherent and meaningful to the question being asked? All of us have to make our own decisions about what constructs give meaning to the research that we are undertaking. My argument here is that the conceptual base should be coherent!
As an example, at the 2009 ISSP Congress in Marrakesh, Ed Deci was asked to react to some research papers, using self-determination theory as the conceptual base. When one researcher used self-determination theory to overlay his own theory to add impetus to his normal theoretical paradigm, Deci commented that it did not make much sense to do that because the theories were quite different in their conceptual base. His point was that it was better to build constructs within the conceptual paradigm used to capture the dynamics of the question being asked rather than bring in another theory and overlay the constructs of that theory over the original constructs. In other words, to give meaning to data, the theory must be conceptually coherent!
Achievement goal theory is a social-cognitive theory that was developed from the learned helplessness (mastery versus helplessness) research of Dweck (e.g., 1975), the cooperation-competition research of Ames (e.g., 1984a), the motivation research of Maehr (e.g., 1983) and the work of Nicholls (e.g., 1978) on the various conceptions of ability that children held. From this research, Nicholls saw simplicity where others had seen complexity and presented the parsimonious constructs that we all know today. Nicholls' unique contribution was to recognize that two understandings of ability existed and that previous theories had assumed one or the other. For example, self-efficacy (see Gilson & Feltz, this volume) assumes a task-involving conception of ability, whereas attribution theory (e.g., Weiner, 1972) assumes an ego-involving conception of ability. Nicholls, Maehr, Ames, and Dweck developed a theory (with their own interpretations) that recognized that both conceptions of ability need to be inherent in the theory. In addition, they recognized that individual difference variables (goal orientations) and contextual dynamics (motivational climate) were part of the same conceptual paradigm. That is the elegance of achievement goal theory. By recognizing that we each use task- or ego-involving conceptions of ability depending on the context, we have a conceptually coherent theory that encompasses both versions of the definition of success and embraces both individual difference variables (goal orientations) and the effect of the situation (motivational climate) on achievement striving.
Strategies for improving evidence of physical activity intervention effectiveness
There are several reasons for the current limitations in the evidence base and for the disappointing effect of some commonly utilized interventions (Blamey & Mutrie, 2004).
Intervention Planning and Evaluation
As highlighted in previously cited reviews (Kahn et al., 2002; Ogilvie et al., 2007), there is a need for enhanced evidence of what works in terms of promoting physical activity in the real world, that is, intervention effectiveness. There are several reasons for the current limitations in the evidence base and for the disappointing effect of some commonly utilized interventions (Blamey & Mutrie, 2004). These reasons include limitations in planning and implementation such as
- a lack of theory-driven interventions (those informed by psychological or behavioral theory that are appropriately tailored and targeted) and
- intervention plans that do not explicitly detail the following:
- the anticipated steps between the selected intervention activities and the long-term outcomes (e.g., the short and interim outcomes), nor describe the actual mechanisms or psychological concepts, or mediators or correlates of behavior change that the planned activities are anticipated to trigger or change in their target population;
- the likely reach of the interventions and the levels of exposure to the intervention that targeted participants will experience;
- the evidence upon which the intervention activities are based; and
- issues related to implementation failure, such as a lack of targeting and tailoring, or not delivering the intervention according to the evidence-informed plans agreed upon or in a consistent manner across multiple sites.
Additional explanations for the gaps in evidence are, in part, caused by evaluation issues such as a lack of an evaluative culture in many of our public sector agencies tasked with promoting physical activity, poor quality of many of the evaluations conducted, and a tendency to present evaluation findings without reflecting on where programs have been successful for some participants but not others and the underlying reasons for this (e.g., differential motivations and mediators for various target groups).
In an attempt to address these issues and improve the planning, implementation, and evaluation of social interventions, increasing emphasis has been placed on outcome-focused planning, improved process evaluation, and evaluation approaches that attempt to enhance attribution in complex real-life interventions (where controlled experiments are more difficult to conduct). The latter evaluation approaches are often referred to as theory based. These evaluation approaches, exemplified by theories of change and realistic evaluation (Blamey & Mackenzie, 2007; Fulbright-Anderson, Kubisch, & Connell, 1998; Pawson & Tilley, 1997), attempt to uncover the program theories (e.g., the prescriptive theory or program activities and their postulated links to the outcomes), as well as the more descriptive theories (e.g., the likely causal mechanisms that will motivate behavior change, such as reduction of known barriers to physical activity, like cost or time, or changes in psychological concepts or mediators) (Chen, 1990).
Outcome-focused planning encourages planning from right to left, meaning that plans detail the specific long-term outcomes and the interim and short-term outcomes that will be needed to achieve them. These outcomes then drive the selection of activities. The activities and interventions are, in turn, influenced by evidence (in terms of evaluative learning, review evidence, and tacit experience) of their likely effect on the agreed outcomes and for specific target groups. The reality is that planning processes in many public agencies are more influenced by left to right thinking—in other words, What can we achieve through the activities that we currently offer?
Evaluation approaches linked to theory, more so than traditional evaluation approaches, seek to understand the prescriptive and descriptive theory of an intervention (Chen, 1990; Weiss, 1998) by explicating the detailed program plans and their underlying assumptions about the psychological concepts and mediators that their planned activities are trying to change. As highlighted earlier, the uncovered theories are then used to drive the design of the subsequent evaluation and the methods that it will use. These approaches attempt, where feasible, to forge explicit links between process and outcome evaluation data and findings so that changes in longer-term outcomes might be more convincingly explained by data from the detailed process evaluation. As an example, changes in participants' levels of fitness and their disease risk factors, such as reduced hypertension or cholesterolemia, would more convincingly be seen to have resulted from their participation on an exercise referral program if detailed information was available about their attendance and adherence.
Theory-based evaluations would also ideally try to strengthen the underlying descriptive theory of the program by testing what key mediators had changed in those showing positive outcomes compared with those who did not. This might involve analyzing the changes in mediators (e.g., self-efficacy or attitudes) for these two groups and their explanation for these changes or exposure to particular aspects of the intervention (e.g., access to accurate knowledge or support from significant others, changed social norms because of family or peer support and approval) (see next section on mediation analysis). The limitations in planning processes detailed earlier and subsequently, however, often limit the extent to which evaluations are actually used to refine and enhance descriptive theory.
Both outcome-focused planning and theory-driven evaluations often use tools such as logic modeling (W.K. Kellogg Foundation, 2001) and the RE-AIM framework (Estabrooks & Gyurcsik, 2003; Glasgow, Vogt, & Boles, 1999) to enhance implementation plans. Where detailed plans and theories are not already available, theory-based evaluators often use such tools to develop an evaluation framework, identify key evaluation questions, and focus the subsequent design and methods. These approaches encourage right to left thinking so that the outcomes drive the selection of activities. They can help bring evaluative thinking into program design and thus test the linkages between activities and short-term, interim, and long-term outcomes through reference to available evidence and tacit professional or participant knowledge. The combination of such tools and approaches encourages greater consideration during planning of the prescriptive and descriptive theory, or the how (which intervention activities) and why (by changing the moderators or barriers) of behavior change.
If our existing evidence base for physical activity promotion is to be enhanced, those designing, planning, implementing, and evaluating interventions need to use the tools and approaches encouraged in outcome-focused planning and theory-driven evaluation and to consider more closely how different types of theory (prescriptive and descriptive) influence behavior change.
Applying the dualistic model of passion in sport and exercise
Although some nuances were found, research reviewed in this chapter has shown that harmonious passion is generally associated with more positive consequences than obsessive passion is. It would therefore seem appropriate to propose ways of facilitating harmonious passion.
Practical Applications
Although some nuances were found, research reviewed in this chapter has shown that harmonious passion is generally associated with more positive consequences than obsessive passion is. It would therefore seem appropriate to propose ways of facilitating harmonious passion. To promote harmonious passion, the three-step process at the core of the development of passion (see Mageau, Vallerand, Charest, et al., 2009) can be used. The three steps are, respectively, (1) activity selection, (2) activity valuation, and (3) the internalization of the activity representation in a person's identity. As seen previously, the role of the social environment at each of the three stages is crucial. Adults are in a prime position to promote children's harmonious passion, especially if they nurture children's need for autonomy and relatedness. With respect to the first step of activity selection, parents and physical educators should encourage children to perform a variety of sport activities, especially at a relatively young age (3-6 years). Later on (age 7-10 years), parents can register their children for a different activity each term. When they have tried a variety of activities and have developed sufficient knowledge to make decisions (perhaps around age 10 to 13 years), children can be encouraged to decide for themselves which activity they would like to engage in for the season. Such a variety of experiences may translate into a greater likelihood of selecting an activity that is a good fit with the child's identity and will thus later become a passion (see Mageau et al., 2009). Enjoyable experiences devoid of pressure and coercion in which children are provided with autonomy support and have the opportunity to choose by themselves their sport activity should set the stage for harmonious passion to blossom. In contrast, pressure or coercion to engage in sport or physical activity is likely to lead to the development of either amotivation (or the loss of motivation) or an obsessive passion toward the sport.
Autonomy support is also recommended for the other two stages of passion development. For instance, with respect to the second step in the passion development process, namely valuation of the selected sport activity, noncontrolling and supportive parents, physical educators, and coaches who preach by example and serve as models (e.g., Bandura, 1977a) may provide the necessary impetus to lead the young athletes to invest further in the sport activity and value it even more. The role of peers should not be underestimated because friends' influence becomes increasingly important as children move toward puberty (Damon, 1988). It should not be surprising that players on the same team have similar levels and types of passion in part because of the coach's influence but also because of the modeling influence that teammates provide. Such influence may lead to the internalization of the prevalent type of passion in that particular team environment. Similarly, a harmonious passion is likely to develop if the internalization process takes place in social environments (e.g., parents, friends, and especially coaches) that promote children's sense of autonomy (Deci & Ryan, 1987, 2000) by providing opportunities for choices, ownership, or “voice” regarding decisions and behaviors. For example, athletes who have recently started cross country running would be more likely to develop a harmonious passion toward this sport if their coach clearly explains to them why it is important to practice daily and gives them opportunities to choose among various practice regimens. Conversely, chances are that the same athletes would either lose their motivation for running or develop an obsessive passion if their coach pressures or coerces them to practice more or fails to explain the purpose of various training exercises.
Finally, practitioners and coaches who work with elite athletes should keep in mind that providing autonomy support is also important with high-level athletes. Indeed, by helping athletes feel autonomous by allowing them to provide input in game decisions (perhaps in the manner of Phil Jackson of the Los Angeles Lakers), the coach is likely to help maintain athletes' harmonious passion, facilitate a high level of performance, and create positive coach-athlete relationships. Coaches and consultants may believe that it is appropriate to be controlling toward high elite and professional athletes because such practices may enhance performance. Although the evidence presented in this chapter does not indicate that being controlling necessarily undermines performance, it does indicate that such behavior is likely to lead to obsessive passion and thus to some negative outcomes, such as lower levels of psychological, health, and relational well-being in athletes. In turn, negative coach-athlete relationships may have ill effects on cohesion, indirectly and negatively affect performance, and even cost the coach her or his job. Thus, creating an autonomy supportive environment may go a long way in providing positive outcomes for both athletes and coaches.
Parsimony, elegance, conceptual coherence valuable to motivation theory
One of Einstein’s famous quotes is that in science we should make everything as simple as possible, but not too simple! Parsimony in science simply means that we keep constructs as simple as possible.
Parsimony, Elegance, and Conceptual Coherence in Sport Psychology
In 2008 I was asked to give the Coleman Griffith Lecture at the annual meeting of AASP in St. Louis, Missouri, which had the title, Whatever Happened to Parsimony, Elegance, and Conceptual Coherence in Sport Psychology? I decided to argue that forsaking some fundamental attributes of science was not in the best interests of scholars and practitioners in sport psychology. I believe that there is value in maintaining the attributes of parsimony, elegance, and conceptual coherence. Let me explain.
Parsimony
One of Einstein's famous quotes is that in science we should make everything as simple as possible, but not too simple! Parsimony in science simply means that we keep constructs as simple as possible. In my Coleman Griffith talk, I argued that there is a trend in sport psychology to make constructs more complex than they need to be. Some of this results from the natural desire to make constructs more applicable to the sport context, such as the efforts of Harwood and colleagues, but scholars often do not realize that by making things more “relevant” to sport they also make the constructs more complex and cause a subsequent loss of parsimony. McFee, a philosopher of science, is harshly critical of scholars in sport psychology because of their penchant for explaining phenomena with “boxes and arrows” and making things more complex than they should be (McFee, 2005). He argues that he is against the “boxes” mentality prevalent in sport psychology, where what is hoped for is a graphic model of boxes connected by arrows, as though sport psychologists knew what the boxes and arrows meant. In my address I gave several examples of complex multilevel theories (e.g., Vallerand, 2001; the hierarchical model of motivation derived from self-determination theory) of this trend toward complexity, in addition to the work of Elliot and colleagues (e.g., 1999) and Harwood and colleagues (e.g., 2008), which I criticized earlier. Is this trend toward complexity one that we should follow?
In her profile of Nobel Prize winners, Zuckerman (1977) gave several attributes of the typical prize winner, but one common attribute is particularly noteworthy: They see simplicity where other people see complexity. As an example, when Crick and Watson (1953) in their quest to discover the structure of the DNA molecule published their model of the double helix, Maurice Wilkins (a fellow scientist who was a rival in the quest) was surprised to see how simple the model was and is quoted to have said, “How simple, how elegant” (Watson, 1996). The quest for expanded frameworks might be valuable because we may be able to provide a better description of the complexity of motivation processes, but a cost is often present, and part of that cost is a loss of parsimony! It is well for sport scientists to remember the famous saying of William of Occam (1285-1347): “Entities are not to be multiplied beyond necessity.” Known as Occam's Razor, it is a call for parsimony, which is sometimes ignored.
There are many examples of scientists in psychology “seeing simplicity” when others had noticed only complexity. These examples spur research into the phenomenon and allow us to understand it better. The example of the social facilitation paradigm is a case in point. Historically, scientists had noted that the presence of others sometimes facilitated and sometimes inhibited the performance of individuals on a variety of tasks (e.g., Triplett, 1897). But in his review of the findings, Zajonc (1965) saw simplicity when he realized that learning tasks were inhibited by the presence of others, whereas performance tasks or simple tasks were facilitated by the presence of others. Further, he argued, the presence of others creates arousal and arousal facilitates the dominant response. When learning, the dominant response was incorrect; when performing, the dominant response was correct. This simple insight suddenly made sense of the previous 70 years of conflicting research. This ability to see simplicity sometimes gives a conceptual insight into psychological (and other disciplinary) mechanisms.
Elegance
Again, Crick and Watson (1953) give a classic example of elegance, which is the attribute of being simple but profound in its implications. In their article in Nature, they concluded by stating that it had not escaped their notice that the specific pairing of the double helix they had postulated suggested a possible copying mechanism for the genetic material! As we now know, this was the most profound scientific finding of the 20th century. The double helix solution was elegant in that it gave clear theoretical and practical meaning and changed our understanding of biological systems. Indeed, it was the birth of modern biology.
We can find many examples in psychology, too. One elegant theory is the social facilitation paradigm (Zajonc, 1965), which I discussed earlier. Zajonc demonstrated his elegant conceptual explanation with an elegant experiment. He had two groups of participants learn a complex task over many trials. One group did it in the presence of others, and the control group learned the task alone. Zajonc demonstrated that performing in the presence of others inhibited learning but facilitated later performance when compared to the control group: A simple but elegant and profound experiment demonstrated his theory. This experiment, and the later research that it stimulated (e.g., Martens, 1969), gave us insight into the reasons arousal and evaluative anxiety inhibited learning on motor tasks.
Another example of a parsimonious and elegant construct is self-efficacy (e.g., Bandura, 1977b). Self-efficacy cognitions represent a person's convictions or beliefs that he or she can successfully execute a course of action to produce a certain outcome. It is likened to a situation-specific self-confidence. But in this context, it is a simple but elegant construct that has stimulated a great deal of research into the determinants of motivation in exercise and physical activity (see Gilson & Feltz, this volume). And, of course, as I have been trying to expound, achievement goal theory in its original form is a parsimonious and elegant theory, too.
Conceptual Coherence
Parsimony and elegance are valued attributes for a theory, but conceptual coherence is an essential attribute! As we all know, theory gives meaning to data. Having an empirical paradigm that is weak on coherent constructs is not a desirable paradigm. These empirical paradigms with weak constructs, or constructs that lack conceptual coherence, are what produce the random noise in the literature against which the true signal of advancement is difficult to discern (Roberts, 1989). I must confess that in my experience with doctoral students, I find that they generally become sophisticated in research methods and statistical analyses but often struggle with understanding the psychological constructs and mechanisms about how things work psychologically. My favorite question to students who are preparing a research agenda is to ask them how they know that they are asking the right questions, or even important ones? I am reminded of the adage, If it is not worth doing, it is not worth doing well! The most important task that we can do as mentors of doctoral students is to make certain they understand that theory gives meaning to data and that statistical and research sophistication are secondary and merely tools to demonstrate the meaningfulness of theory. But they must do more than use “just any theory.” Is the theory coherent and meaningful to the question being asked? All of us have to make our own decisions about what constructs give meaning to the research that we are undertaking. My argument here is that the conceptual base should be coherent!
As an example, at the 2009 ISSP Congress in Marrakesh, Ed Deci was asked to react to some research papers, using self-determination theory as the conceptual base. When one researcher used self-determination theory to overlay his own theory to add impetus to his normal theoretical paradigm, Deci commented that it did not make much sense to do that because the theories were quite different in their conceptual base. His point was that it was better to build constructs within the conceptual paradigm used to capture the dynamics of the question being asked rather than bring in another theory and overlay the constructs of that theory over the original constructs. In other words, to give meaning to data, the theory must be conceptually coherent!
Achievement goal theory is a social-cognitive theory that was developed from the learned helplessness (mastery versus helplessness) research of Dweck (e.g., 1975), the cooperation-competition research of Ames (e.g., 1984a), the motivation research of Maehr (e.g., 1983) and the work of Nicholls (e.g., 1978) on the various conceptions of ability that children held. From this research, Nicholls saw simplicity where others had seen complexity and presented the parsimonious constructs that we all know today. Nicholls' unique contribution was to recognize that two understandings of ability existed and that previous theories had assumed one or the other. For example, self-efficacy (see Gilson & Feltz, this volume) assumes a task-involving conception of ability, whereas attribution theory (e.g., Weiner, 1972) assumes an ego-involving conception of ability. Nicholls, Maehr, Ames, and Dweck developed a theory (with their own interpretations) that recognized that both conceptions of ability need to be inherent in the theory. In addition, they recognized that individual difference variables (goal orientations) and contextual dynamics (motivational climate) were part of the same conceptual paradigm. That is the elegance of achievement goal theory. By recognizing that we each use task- or ego-involving conceptions of ability depending on the context, we have a conceptually coherent theory that encompasses both versions of the definition of success and embraces both individual difference variables (goal orientations) and the effect of the situation (motivational climate) on achievement striving.
Strategies for improving evidence of physical activity intervention effectiveness
There are several reasons for the current limitations in the evidence base and for the disappointing effect of some commonly utilized interventions (Blamey & Mutrie, 2004).
Intervention Planning and Evaluation
As highlighted in previously cited reviews (Kahn et al., 2002; Ogilvie et al., 2007), there is a need for enhanced evidence of what works in terms of promoting physical activity in the real world, that is, intervention effectiveness. There are several reasons for the current limitations in the evidence base and for the disappointing effect of some commonly utilized interventions (Blamey & Mutrie, 2004). These reasons include limitations in planning and implementation such as
- a lack of theory-driven interventions (those informed by psychological or behavioral theory that are appropriately tailored and targeted) and
- intervention plans that do not explicitly detail the following:
- the anticipated steps between the selected intervention activities and the long-term outcomes (e.g., the short and interim outcomes), nor describe the actual mechanisms or psychological concepts, or mediators or correlates of behavior change that the planned activities are anticipated to trigger or change in their target population;
- the likely reach of the interventions and the levels of exposure to the intervention that targeted participants will experience;
- the evidence upon which the intervention activities are based; and
- issues related to implementation failure, such as a lack of targeting and tailoring, or not delivering the intervention according to the evidence-informed plans agreed upon or in a consistent manner across multiple sites.
Additional explanations for the gaps in evidence are, in part, caused by evaluation issues such as a lack of an evaluative culture in many of our public sector agencies tasked with promoting physical activity, poor quality of many of the evaluations conducted, and a tendency to present evaluation findings without reflecting on where programs have been successful for some participants but not others and the underlying reasons for this (e.g., differential motivations and mediators for various target groups).
In an attempt to address these issues and improve the planning, implementation, and evaluation of social interventions, increasing emphasis has been placed on outcome-focused planning, improved process evaluation, and evaluation approaches that attempt to enhance attribution in complex real-life interventions (where controlled experiments are more difficult to conduct). The latter evaluation approaches are often referred to as theory based. These evaluation approaches, exemplified by theories of change and realistic evaluation (Blamey & Mackenzie, 2007; Fulbright-Anderson, Kubisch, & Connell, 1998; Pawson & Tilley, 1997), attempt to uncover the program theories (e.g., the prescriptive theory or program activities and their postulated links to the outcomes), as well as the more descriptive theories (e.g., the likely causal mechanisms that will motivate behavior change, such as reduction of known barriers to physical activity, like cost or time, or changes in psychological concepts or mediators) (Chen, 1990).
Outcome-focused planning encourages planning from right to left, meaning that plans detail the specific long-term outcomes and the interim and short-term outcomes that will be needed to achieve them. These outcomes then drive the selection of activities. The activities and interventions are, in turn, influenced by evidence (in terms of evaluative learning, review evidence, and tacit experience) of their likely effect on the agreed outcomes and for specific target groups. The reality is that planning processes in many public agencies are more influenced by left to right thinking—in other words, What can we achieve through the activities that we currently offer?
Evaluation approaches linked to theory, more so than traditional evaluation approaches, seek to understand the prescriptive and descriptive theory of an intervention (Chen, 1990; Weiss, 1998) by explicating the detailed program plans and their underlying assumptions about the psychological concepts and mediators that their planned activities are trying to change. As highlighted earlier, the uncovered theories are then used to drive the design of the subsequent evaluation and the methods that it will use. These approaches attempt, where feasible, to forge explicit links between process and outcome evaluation data and findings so that changes in longer-term outcomes might be more convincingly explained by data from the detailed process evaluation. As an example, changes in participants' levels of fitness and their disease risk factors, such as reduced hypertension or cholesterolemia, would more convincingly be seen to have resulted from their participation on an exercise referral program if detailed information was available about their attendance and adherence.
Theory-based evaluations would also ideally try to strengthen the underlying descriptive theory of the program by testing what key mediators had changed in those showing positive outcomes compared with those who did not. This might involve analyzing the changes in mediators (e.g., self-efficacy or attitudes) for these two groups and their explanation for these changes or exposure to particular aspects of the intervention (e.g., access to accurate knowledge or support from significant others, changed social norms because of family or peer support and approval) (see next section on mediation analysis). The limitations in planning processes detailed earlier and subsequently, however, often limit the extent to which evaluations are actually used to refine and enhance descriptive theory.
Both outcome-focused planning and theory-driven evaluations often use tools such as logic modeling (W.K. Kellogg Foundation, 2001) and the RE-AIM framework (Estabrooks & Gyurcsik, 2003; Glasgow, Vogt, & Boles, 1999) to enhance implementation plans. Where detailed plans and theories are not already available, theory-based evaluators often use such tools to develop an evaluation framework, identify key evaluation questions, and focus the subsequent design and methods. These approaches encourage right to left thinking so that the outcomes drive the selection of activities. They can help bring evaluative thinking into program design and thus test the linkages between activities and short-term, interim, and long-term outcomes through reference to available evidence and tacit professional or participant knowledge. The combination of such tools and approaches encourages greater consideration during planning of the prescriptive and descriptive theory, or the how (which intervention activities) and why (by changing the moderators or barriers) of behavior change.
If our existing evidence base for physical activity promotion is to be enhanced, those designing, planning, implementing, and evaluating interventions need to use the tools and approaches encouraged in outcome-focused planning and theory-driven evaluation and to consider more closely how different types of theory (prescriptive and descriptive) influence behavior change.
Applying the dualistic model of passion in sport and exercise
Although some nuances were found, research reviewed in this chapter has shown that harmonious passion is generally associated with more positive consequences than obsessive passion is. It would therefore seem appropriate to propose ways of facilitating harmonious passion.
Practical Applications
Although some nuances were found, research reviewed in this chapter has shown that harmonious passion is generally associated with more positive consequences than obsessive passion is. It would therefore seem appropriate to propose ways of facilitating harmonious passion. To promote harmonious passion, the three-step process at the core of the development of passion (see Mageau, Vallerand, Charest, et al., 2009) can be used. The three steps are, respectively, (1) activity selection, (2) activity valuation, and (3) the internalization of the activity representation in a person's identity. As seen previously, the role of the social environment at each of the three stages is crucial. Adults are in a prime position to promote children's harmonious passion, especially if they nurture children's need for autonomy and relatedness. With respect to the first step of activity selection, parents and physical educators should encourage children to perform a variety of sport activities, especially at a relatively young age (3-6 years). Later on (age 7-10 years), parents can register their children for a different activity each term. When they have tried a variety of activities and have developed sufficient knowledge to make decisions (perhaps around age 10 to 13 years), children can be encouraged to decide for themselves which activity they would like to engage in for the season. Such a variety of experiences may translate into a greater likelihood of selecting an activity that is a good fit with the child's identity and will thus later become a passion (see Mageau et al., 2009). Enjoyable experiences devoid of pressure and coercion in which children are provided with autonomy support and have the opportunity to choose by themselves their sport activity should set the stage for harmonious passion to blossom. In contrast, pressure or coercion to engage in sport or physical activity is likely to lead to the development of either amotivation (or the loss of motivation) or an obsessive passion toward the sport.
Autonomy support is also recommended for the other two stages of passion development. For instance, with respect to the second step in the passion development process, namely valuation of the selected sport activity, noncontrolling and supportive parents, physical educators, and coaches who preach by example and serve as models (e.g., Bandura, 1977a) may provide the necessary impetus to lead the young athletes to invest further in the sport activity and value it even more. The role of peers should not be underestimated because friends' influence becomes increasingly important as children move toward puberty (Damon, 1988). It should not be surprising that players on the same team have similar levels and types of passion in part because of the coach's influence but also because of the modeling influence that teammates provide. Such influence may lead to the internalization of the prevalent type of passion in that particular team environment. Similarly, a harmonious passion is likely to develop if the internalization process takes place in social environments (e.g., parents, friends, and especially coaches) that promote children's sense of autonomy (Deci & Ryan, 1987, 2000) by providing opportunities for choices, ownership, or “voice” regarding decisions and behaviors. For example, athletes who have recently started cross country running would be more likely to develop a harmonious passion toward this sport if their coach clearly explains to them why it is important to practice daily and gives them opportunities to choose among various practice regimens. Conversely, chances are that the same athletes would either lose their motivation for running or develop an obsessive passion if their coach pressures or coerces them to practice more or fails to explain the purpose of various training exercises.
Finally, practitioners and coaches who work with elite athletes should keep in mind that providing autonomy support is also important with high-level athletes. Indeed, by helping athletes feel autonomous by allowing them to provide input in game decisions (perhaps in the manner of Phil Jackson of the Los Angeles Lakers), the coach is likely to help maintain athletes' harmonious passion, facilitate a high level of performance, and create positive coach-athlete relationships. Coaches and consultants may believe that it is appropriate to be controlling toward high elite and professional athletes because such practices may enhance performance. Although the evidence presented in this chapter does not indicate that being controlling necessarily undermines performance, it does indicate that such behavior is likely to lead to obsessive passion and thus to some negative outcomes, such as lower levels of psychological, health, and relational well-being in athletes. In turn, negative coach-athlete relationships may have ill effects on cohesion, indirectly and negatively affect performance, and even cost the coach her or his job. Thus, creating an autonomy supportive environment may go a long way in providing positive outcomes for both athletes and coaches.
Parsimony, elegance, conceptual coherence valuable to motivation theory
One of Einstein’s famous quotes is that in science we should make everything as simple as possible, but not too simple! Parsimony in science simply means that we keep constructs as simple as possible.
Parsimony, Elegance, and Conceptual Coherence in Sport Psychology
In 2008 I was asked to give the Coleman Griffith Lecture at the annual meeting of AASP in St. Louis, Missouri, which had the title, Whatever Happened to Parsimony, Elegance, and Conceptual Coherence in Sport Psychology? I decided to argue that forsaking some fundamental attributes of science was not in the best interests of scholars and practitioners in sport psychology. I believe that there is value in maintaining the attributes of parsimony, elegance, and conceptual coherence. Let me explain.
Parsimony
One of Einstein's famous quotes is that in science we should make everything as simple as possible, but not too simple! Parsimony in science simply means that we keep constructs as simple as possible. In my Coleman Griffith talk, I argued that there is a trend in sport psychology to make constructs more complex than they need to be. Some of this results from the natural desire to make constructs more applicable to the sport context, such as the efforts of Harwood and colleagues, but scholars often do not realize that by making things more “relevant” to sport they also make the constructs more complex and cause a subsequent loss of parsimony. McFee, a philosopher of science, is harshly critical of scholars in sport psychology because of their penchant for explaining phenomena with “boxes and arrows” and making things more complex than they should be (McFee, 2005). He argues that he is against the “boxes” mentality prevalent in sport psychology, where what is hoped for is a graphic model of boxes connected by arrows, as though sport psychologists knew what the boxes and arrows meant. In my address I gave several examples of complex multilevel theories (e.g., Vallerand, 2001; the hierarchical model of motivation derived from self-determination theory) of this trend toward complexity, in addition to the work of Elliot and colleagues (e.g., 1999) and Harwood and colleagues (e.g., 2008), which I criticized earlier. Is this trend toward complexity one that we should follow?
In her profile of Nobel Prize winners, Zuckerman (1977) gave several attributes of the typical prize winner, but one common attribute is particularly noteworthy: They see simplicity where other people see complexity. As an example, when Crick and Watson (1953) in their quest to discover the structure of the DNA molecule published their model of the double helix, Maurice Wilkins (a fellow scientist who was a rival in the quest) was surprised to see how simple the model was and is quoted to have said, “How simple, how elegant” (Watson, 1996). The quest for expanded frameworks might be valuable because we may be able to provide a better description of the complexity of motivation processes, but a cost is often present, and part of that cost is a loss of parsimony! It is well for sport scientists to remember the famous saying of William of Occam (1285-1347): “Entities are not to be multiplied beyond necessity.” Known as Occam's Razor, it is a call for parsimony, which is sometimes ignored.
There are many examples of scientists in psychology “seeing simplicity” when others had noticed only complexity. These examples spur research into the phenomenon and allow us to understand it better. The example of the social facilitation paradigm is a case in point. Historically, scientists had noted that the presence of others sometimes facilitated and sometimes inhibited the performance of individuals on a variety of tasks (e.g., Triplett, 1897). But in his review of the findings, Zajonc (1965) saw simplicity when he realized that learning tasks were inhibited by the presence of others, whereas performance tasks or simple tasks were facilitated by the presence of others. Further, he argued, the presence of others creates arousal and arousal facilitates the dominant response. When learning, the dominant response was incorrect; when performing, the dominant response was correct. This simple insight suddenly made sense of the previous 70 years of conflicting research. This ability to see simplicity sometimes gives a conceptual insight into psychological (and other disciplinary) mechanisms.
Elegance
Again, Crick and Watson (1953) give a classic example of elegance, which is the attribute of being simple but profound in its implications. In their article in Nature, they concluded by stating that it had not escaped their notice that the specific pairing of the double helix they had postulated suggested a possible copying mechanism for the genetic material! As we now know, this was the most profound scientific finding of the 20th century. The double helix solution was elegant in that it gave clear theoretical and practical meaning and changed our understanding of biological systems. Indeed, it was the birth of modern biology.
We can find many examples in psychology, too. One elegant theory is the social facilitation paradigm (Zajonc, 1965), which I discussed earlier. Zajonc demonstrated his elegant conceptual explanation with an elegant experiment. He had two groups of participants learn a complex task over many trials. One group did it in the presence of others, and the control group learned the task alone. Zajonc demonstrated that performing in the presence of others inhibited learning but facilitated later performance when compared to the control group: A simple but elegant and profound experiment demonstrated his theory. This experiment, and the later research that it stimulated (e.g., Martens, 1969), gave us insight into the reasons arousal and evaluative anxiety inhibited learning on motor tasks.
Another example of a parsimonious and elegant construct is self-efficacy (e.g., Bandura, 1977b). Self-efficacy cognitions represent a person's convictions or beliefs that he or she can successfully execute a course of action to produce a certain outcome. It is likened to a situation-specific self-confidence. But in this context, it is a simple but elegant construct that has stimulated a great deal of research into the determinants of motivation in exercise and physical activity (see Gilson & Feltz, this volume). And, of course, as I have been trying to expound, achievement goal theory in its original form is a parsimonious and elegant theory, too.
Conceptual Coherence
Parsimony and elegance are valued attributes for a theory, but conceptual coherence is an essential attribute! As we all know, theory gives meaning to data. Having an empirical paradigm that is weak on coherent constructs is not a desirable paradigm. These empirical paradigms with weak constructs, or constructs that lack conceptual coherence, are what produce the random noise in the literature against which the true signal of advancement is difficult to discern (Roberts, 1989). I must confess that in my experience with doctoral students, I find that they generally become sophisticated in research methods and statistical analyses but often struggle with understanding the psychological constructs and mechanisms about how things work psychologically. My favorite question to students who are preparing a research agenda is to ask them how they know that they are asking the right questions, or even important ones? I am reminded of the adage, If it is not worth doing, it is not worth doing well! The most important task that we can do as mentors of doctoral students is to make certain they understand that theory gives meaning to data and that statistical and research sophistication are secondary and merely tools to demonstrate the meaningfulness of theory. But they must do more than use “just any theory.” Is the theory coherent and meaningful to the question being asked? All of us have to make our own decisions about what constructs give meaning to the research that we are undertaking. My argument here is that the conceptual base should be coherent!
As an example, at the 2009 ISSP Congress in Marrakesh, Ed Deci was asked to react to some research papers, using self-determination theory as the conceptual base. When one researcher used self-determination theory to overlay his own theory to add impetus to his normal theoretical paradigm, Deci commented that it did not make much sense to do that because the theories were quite different in their conceptual base. His point was that it was better to build constructs within the conceptual paradigm used to capture the dynamics of the question being asked rather than bring in another theory and overlay the constructs of that theory over the original constructs. In other words, to give meaning to data, the theory must be conceptually coherent!
Achievement goal theory is a social-cognitive theory that was developed from the learned helplessness (mastery versus helplessness) research of Dweck (e.g., 1975), the cooperation-competition research of Ames (e.g., 1984a), the motivation research of Maehr (e.g., 1983) and the work of Nicholls (e.g., 1978) on the various conceptions of ability that children held. From this research, Nicholls saw simplicity where others had seen complexity and presented the parsimonious constructs that we all know today. Nicholls' unique contribution was to recognize that two understandings of ability existed and that previous theories had assumed one or the other. For example, self-efficacy (see Gilson & Feltz, this volume) assumes a task-involving conception of ability, whereas attribution theory (e.g., Weiner, 1972) assumes an ego-involving conception of ability. Nicholls, Maehr, Ames, and Dweck developed a theory (with their own interpretations) that recognized that both conceptions of ability need to be inherent in the theory. In addition, they recognized that individual difference variables (goal orientations) and contextual dynamics (motivational climate) were part of the same conceptual paradigm. That is the elegance of achievement goal theory. By recognizing that we each use task- or ego-involving conceptions of ability depending on the context, we have a conceptually coherent theory that encompasses both versions of the definition of success and embraces both individual difference variables (goal orientations) and the effect of the situation (motivational climate) on achievement striving.
Strategies for improving evidence of physical activity intervention effectiveness
There are several reasons for the current limitations in the evidence base and for the disappointing effect of some commonly utilized interventions (Blamey & Mutrie, 2004).
Intervention Planning and Evaluation
As highlighted in previously cited reviews (Kahn et al., 2002; Ogilvie et al., 2007), there is a need for enhanced evidence of what works in terms of promoting physical activity in the real world, that is, intervention effectiveness. There are several reasons for the current limitations in the evidence base and for the disappointing effect of some commonly utilized interventions (Blamey & Mutrie, 2004). These reasons include limitations in planning and implementation such as
- a lack of theory-driven interventions (those informed by psychological or behavioral theory that are appropriately tailored and targeted) and
- intervention plans that do not explicitly detail the following:
- the anticipated steps between the selected intervention activities and the long-term outcomes (e.g., the short and interim outcomes), nor describe the actual mechanisms or psychological concepts, or mediators or correlates of behavior change that the planned activities are anticipated to trigger or change in their target population;
- the likely reach of the interventions and the levels of exposure to the intervention that targeted participants will experience;
- the evidence upon which the intervention activities are based; and
- issues related to implementation failure, such as a lack of targeting and tailoring, or not delivering the intervention according to the evidence-informed plans agreed upon or in a consistent manner across multiple sites.
Additional explanations for the gaps in evidence are, in part, caused by evaluation issues such as a lack of an evaluative culture in many of our public sector agencies tasked with promoting physical activity, poor quality of many of the evaluations conducted, and a tendency to present evaluation findings without reflecting on where programs have been successful for some participants but not others and the underlying reasons for this (e.g., differential motivations and mediators for various target groups).
In an attempt to address these issues and improve the planning, implementation, and evaluation of social interventions, increasing emphasis has been placed on outcome-focused planning, improved process evaluation, and evaluation approaches that attempt to enhance attribution in complex real-life interventions (where controlled experiments are more difficult to conduct). The latter evaluation approaches are often referred to as theory based. These evaluation approaches, exemplified by theories of change and realistic evaluation (Blamey & Mackenzie, 2007; Fulbright-Anderson, Kubisch, & Connell, 1998; Pawson & Tilley, 1997), attempt to uncover the program theories (e.g., the prescriptive theory or program activities and their postulated links to the outcomes), as well as the more descriptive theories (e.g., the likely causal mechanisms that will motivate behavior change, such as reduction of known barriers to physical activity, like cost or time, or changes in psychological concepts or mediators) (Chen, 1990).
Outcome-focused planning encourages planning from right to left, meaning that plans detail the specific long-term outcomes and the interim and short-term outcomes that will be needed to achieve them. These outcomes then drive the selection of activities. The activities and interventions are, in turn, influenced by evidence (in terms of evaluative learning, review evidence, and tacit experience) of their likely effect on the agreed outcomes and for specific target groups. The reality is that planning processes in many public agencies are more influenced by left to right thinking—in other words, What can we achieve through the activities that we currently offer?
Evaluation approaches linked to theory, more so than traditional evaluation approaches, seek to understand the prescriptive and descriptive theory of an intervention (Chen, 1990; Weiss, 1998) by explicating the detailed program plans and their underlying assumptions about the psychological concepts and mediators that their planned activities are trying to change. As highlighted earlier, the uncovered theories are then used to drive the design of the subsequent evaluation and the methods that it will use. These approaches attempt, where feasible, to forge explicit links between process and outcome evaluation data and findings so that changes in longer-term outcomes might be more convincingly explained by data from the detailed process evaluation. As an example, changes in participants' levels of fitness and their disease risk factors, such as reduced hypertension or cholesterolemia, would more convincingly be seen to have resulted from their participation on an exercise referral program if detailed information was available about their attendance and adherence.
Theory-based evaluations would also ideally try to strengthen the underlying descriptive theory of the program by testing what key mediators had changed in those showing positive outcomes compared with those who did not. This might involve analyzing the changes in mediators (e.g., self-efficacy or attitudes) for these two groups and their explanation for these changes or exposure to particular aspects of the intervention (e.g., access to accurate knowledge or support from significant others, changed social norms because of family or peer support and approval) (see next section on mediation analysis). The limitations in planning processes detailed earlier and subsequently, however, often limit the extent to which evaluations are actually used to refine and enhance descriptive theory.
Both outcome-focused planning and theory-driven evaluations often use tools such as logic modeling (W.K. Kellogg Foundation, 2001) and the RE-AIM framework (Estabrooks & Gyurcsik, 2003; Glasgow, Vogt, & Boles, 1999) to enhance implementation plans. Where detailed plans and theories are not already available, theory-based evaluators often use such tools to develop an evaluation framework, identify key evaluation questions, and focus the subsequent design and methods. These approaches encourage right to left thinking so that the outcomes drive the selection of activities. They can help bring evaluative thinking into program design and thus test the linkages between activities and short-term, interim, and long-term outcomes through reference to available evidence and tacit professional or participant knowledge. The combination of such tools and approaches encourages greater consideration during planning of the prescriptive and descriptive theory, or the how (which intervention activities) and why (by changing the moderators or barriers) of behavior change.
If our existing evidence base for physical activity promotion is to be enhanced, those designing, planning, implementing, and evaluating interventions need to use the tools and approaches encouraged in outcome-focused planning and theory-driven evaluation and to consider more closely how different types of theory (prescriptive and descriptive) influence behavior change.
Applying the dualistic model of passion in sport and exercise
Although some nuances were found, research reviewed in this chapter has shown that harmonious passion is generally associated with more positive consequences than obsessive passion is. It would therefore seem appropriate to propose ways of facilitating harmonious passion.
Practical Applications
Although some nuances were found, research reviewed in this chapter has shown that harmonious passion is generally associated with more positive consequences than obsessive passion is. It would therefore seem appropriate to propose ways of facilitating harmonious passion. To promote harmonious passion, the three-step process at the core of the development of passion (see Mageau, Vallerand, Charest, et al., 2009) can be used. The three steps are, respectively, (1) activity selection, (2) activity valuation, and (3) the internalization of the activity representation in a person's identity. As seen previously, the role of the social environment at each of the three stages is crucial. Adults are in a prime position to promote children's harmonious passion, especially if they nurture children's need for autonomy and relatedness. With respect to the first step of activity selection, parents and physical educators should encourage children to perform a variety of sport activities, especially at a relatively young age (3-6 years). Later on (age 7-10 years), parents can register their children for a different activity each term. When they have tried a variety of activities and have developed sufficient knowledge to make decisions (perhaps around age 10 to 13 years), children can be encouraged to decide for themselves which activity they would like to engage in for the season. Such a variety of experiences may translate into a greater likelihood of selecting an activity that is a good fit with the child's identity and will thus later become a passion (see Mageau et al., 2009). Enjoyable experiences devoid of pressure and coercion in which children are provided with autonomy support and have the opportunity to choose by themselves their sport activity should set the stage for harmonious passion to blossom. In contrast, pressure or coercion to engage in sport or physical activity is likely to lead to the development of either amotivation (or the loss of motivation) or an obsessive passion toward the sport.
Autonomy support is also recommended for the other two stages of passion development. For instance, with respect to the second step in the passion development process, namely valuation of the selected sport activity, noncontrolling and supportive parents, physical educators, and coaches who preach by example and serve as models (e.g., Bandura, 1977a) may provide the necessary impetus to lead the young athletes to invest further in the sport activity and value it even more. The role of peers should not be underestimated because friends' influence becomes increasingly important as children move toward puberty (Damon, 1988). It should not be surprising that players on the same team have similar levels and types of passion in part because of the coach's influence but also because of the modeling influence that teammates provide. Such influence may lead to the internalization of the prevalent type of passion in that particular team environment. Similarly, a harmonious passion is likely to develop if the internalization process takes place in social environments (e.g., parents, friends, and especially coaches) that promote children's sense of autonomy (Deci & Ryan, 1987, 2000) by providing opportunities for choices, ownership, or “voice” regarding decisions and behaviors. For example, athletes who have recently started cross country running would be more likely to develop a harmonious passion toward this sport if their coach clearly explains to them why it is important to practice daily and gives them opportunities to choose among various practice regimens. Conversely, chances are that the same athletes would either lose their motivation for running or develop an obsessive passion if their coach pressures or coerces them to practice more or fails to explain the purpose of various training exercises.
Finally, practitioners and coaches who work with elite athletes should keep in mind that providing autonomy support is also important with high-level athletes. Indeed, by helping athletes feel autonomous by allowing them to provide input in game decisions (perhaps in the manner of Phil Jackson of the Los Angeles Lakers), the coach is likely to help maintain athletes' harmonious passion, facilitate a high level of performance, and create positive coach-athlete relationships. Coaches and consultants may believe that it is appropriate to be controlling toward high elite and professional athletes because such practices may enhance performance. Although the evidence presented in this chapter does not indicate that being controlling necessarily undermines performance, it does indicate that such behavior is likely to lead to obsessive passion and thus to some negative outcomes, such as lower levels of psychological, health, and relational well-being in athletes. In turn, negative coach-athlete relationships may have ill effects on cohesion, indirectly and negatively affect performance, and even cost the coach her or his job. Thus, creating an autonomy supportive environment may go a long way in providing positive outcomes for both athletes and coaches.
Parsimony, elegance, conceptual coherence valuable to motivation theory
One of Einstein’s famous quotes is that in science we should make everything as simple as possible, but not too simple! Parsimony in science simply means that we keep constructs as simple as possible.
Parsimony, Elegance, and Conceptual Coherence in Sport Psychology
In 2008 I was asked to give the Coleman Griffith Lecture at the annual meeting of AASP in St. Louis, Missouri, which had the title, Whatever Happened to Parsimony, Elegance, and Conceptual Coherence in Sport Psychology? I decided to argue that forsaking some fundamental attributes of science was not in the best interests of scholars and practitioners in sport psychology. I believe that there is value in maintaining the attributes of parsimony, elegance, and conceptual coherence. Let me explain.
Parsimony
One of Einstein's famous quotes is that in science we should make everything as simple as possible, but not too simple! Parsimony in science simply means that we keep constructs as simple as possible. In my Coleman Griffith talk, I argued that there is a trend in sport psychology to make constructs more complex than they need to be. Some of this results from the natural desire to make constructs more applicable to the sport context, such as the efforts of Harwood and colleagues, but scholars often do not realize that by making things more “relevant” to sport they also make the constructs more complex and cause a subsequent loss of parsimony. McFee, a philosopher of science, is harshly critical of scholars in sport psychology because of their penchant for explaining phenomena with “boxes and arrows” and making things more complex than they should be (McFee, 2005). He argues that he is against the “boxes” mentality prevalent in sport psychology, where what is hoped for is a graphic model of boxes connected by arrows, as though sport psychologists knew what the boxes and arrows meant. In my address I gave several examples of complex multilevel theories (e.g., Vallerand, 2001; the hierarchical model of motivation derived from self-determination theory) of this trend toward complexity, in addition to the work of Elliot and colleagues (e.g., 1999) and Harwood and colleagues (e.g., 2008), which I criticized earlier. Is this trend toward complexity one that we should follow?
In her profile of Nobel Prize winners, Zuckerman (1977) gave several attributes of the typical prize winner, but one common attribute is particularly noteworthy: They see simplicity where other people see complexity. As an example, when Crick and Watson (1953) in their quest to discover the structure of the DNA molecule published their model of the double helix, Maurice Wilkins (a fellow scientist who was a rival in the quest) was surprised to see how simple the model was and is quoted to have said, “How simple, how elegant” (Watson, 1996). The quest for expanded frameworks might be valuable because we may be able to provide a better description of the complexity of motivation processes, but a cost is often present, and part of that cost is a loss of parsimony! It is well for sport scientists to remember the famous saying of William of Occam (1285-1347): “Entities are not to be multiplied beyond necessity.” Known as Occam's Razor, it is a call for parsimony, which is sometimes ignored.
There are many examples of scientists in psychology “seeing simplicity” when others had noticed only complexity. These examples spur research into the phenomenon and allow us to understand it better. The example of the social facilitation paradigm is a case in point. Historically, scientists had noted that the presence of others sometimes facilitated and sometimes inhibited the performance of individuals on a variety of tasks (e.g., Triplett, 1897). But in his review of the findings, Zajonc (1965) saw simplicity when he realized that learning tasks were inhibited by the presence of others, whereas performance tasks or simple tasks were facilitated by the presence of others. Further, he argued, the presence of others creates arousal and arousal facilitates the dominant response. When learning, the dominant response was incorrect; when performing, the dominant response was correct. This simple insight suddenly made sense of the previous 70 years of conflicting research. This ability to see simplicity sometimes gives a conceptual insight into psychological (and other disciplinary) mechanisms.
Elegance
Again, Crick and Watson (1953) give a classic example of elegance, which is the attribute of being simple but profound in its implications. In their article in Nature, they concluded by stating that it had not escaped their notice that the specific pairing of the double helix they had postulated suggested a possible copying mechanism for the genetic material! As we now know, this was the most profound scientific finding of the 20th century. The double helix solution was elegant in that it gave clear theoretical and practical meaning and changed our understanding of biological systems. Indeed, it was the birth of modern biology.
We can find many examples in psychology, too. One elegant theory is the social facilitation paradigm (Zajonc, 1965), which I discussed earlier. Zajonc demonstrated his elegant conceptual explanation with an elegant experiment. He had two groups of participants learn a complex task over many trials. One group did it in the presence of others, and the control group learned the task alone. Zajonc demonstrated that performing in the presence of others inhibited learning but facilitated later performance when compared to the control group: A simple but elegant and profound experiment demonstrated his theory. This experiment, and the later research that it stimulated (e.g., Martens, 1969), gave us insight into the reasons arousal and evaluative anxiety inhibited learning on motor tasks.
Another example of a parsimonious and elegant construct is self-efficacy (e.g., Bandura, 1977b). Self-efficacy cognitions represent a person's convictions or beliefs that he or she can successfully execute a course of action to produce a certain outcome. It is likened to a situation-specific self-confidence. But in this context, it is a simple but elegant construct that has stimulated a great deal of research into the determinants of motivation in exercise and physical activity (see Gilson & Feltz, this volume). And, of course, as I have been trying to expound, achievement goal theory in its original form is a parsimonious and elegant theory, too.
Conceptual Coherence
Parsimony and elegance are valued attributes for a theory, but conceptual coherence is an essential attribute! As we all know, theory gives meaning to data. Having an empirical paradigm that is weak on coherent constructs is not a desirable paradigm. These empirical paradigms with weak constructs, or constructs that lack conceptual coherence, are what produce the random noise in the literature against which the true signal of advancement is difficult to discern (Roberts, 1989). I must confess that in my experience with doctoral students, I find that they generally become sophisticated in research methods and statistical analyses but often struggle with understanding the psychological constructs and mechanisms about how things work psychologically. My favorite question to students who are preparing a research agenda is to ask them how they know that they are asking the right questions, or even important ones? I am reminded of the adage, If it is not worth doing, it is not worth doing well! The most important task that we can do as mentors of doctoral students is to make certain they understand that theory gives meaning to data and that statistical and research sophistication are secondary and merely tools to demonstrate the meaningfulness of theory. But they must do more than use “just any theory.” Is the theory coherent and meaningful to the question being asked? All of us have to make our own decisions about what constructs give meaning to the research that we are undertaking. My argument here is that the conceptual base should be coherent!
As an example, at the 2009 ISSP Congress in Marrakesh, Ed Deci was asked to react to some research papers, using self-determination theory as the conceptual base. When one researcher used self-determination theory to overlay his own theory to add impetus to his normal theoretical paradigm, Deci commented that it did not make much sense to do that because the theories were quite different in their conceptual base. His point was that it was better to build constructs within the conceptual paradigm used to capture the dynamics of the question being asked rather than bring in another theory and overlay the constructs of that theory over the original constructs. In other words, to give meaning to data, the theory must be conceptually coherent!
Achievement goal theory is a social-cognitive theory that was developed from the learned helplessness (mastery versus helplessness) research of Dweck (e.g., 1975), the cooperation-competition research of Ames (e.g., 1984a), the motivation research of Maehr (e.g., 1983) and the work of Nicholls (e.g., 1978) on the various conceptions of ability that children held. From this research, Nicholls saw simplicity where others had seen complexity and presented the parsimonious constructs that we all know today. Nicholls' unique contribution was to recognize that two understandings of ability existed and that previous theories had assumed one or the other. For example, self-efficacy (see Gilson & Feltz, this volume) assumes a task-involving conception of ability, whereas attribution theory (e.g., Weiner, 1972) assumes an ego-involving conception of ability. Nicholls, Maehr, Ames, and Dweck developed a theory (with their own interpretations) that recognized that both conceptions of ability need to be inherent in the theory. In addition, they recognized that individual difference variables (goal orientations) and contextual dynamics (motivational climate) were part of the same conceptual paradigm. That is the elegance of achievement goal theory. By recognizing that we each use task- or ego-involving conceptions of ability depending on the context, we have a conceptually coherent theory that encompasses both versions of the definition of success and embraces both individual difference variables (goal orientations) and the effect of the situation (motivational climate) on achievement striving.
Strategies for improving evidence of physical activity intervention effectiveness
There are several reasons for the current limitations in the evidence base and for the disappointing effect of some commonly utilized interventions (Blamey & Mutrie, 2004).
Intervention Planning and Evaluation
As highlighted in previously cited reviews (Kahn et al., 2002; Ogilvie et al., 2007), there is a need for enhanced evidence of what works in terms of promoting physical activity in the real world, that is, intervention effectiveness. There are several reasons for the current limitations in the evidence base and for the disappointing effect of some commonly utilized interventions (Blamey & Mutrie, 2004). These reasons include limitations in planning and implementation such as
- a lack of theory-driven interventions (those informed by psychological or behavioral theory that are appropriately tailored and targeted) and
- intervention plans that do not explicitly detail the following:
- the anticipated steps between the selected intervention activities and the long-term outcomes (e.g., the short and interim outcomes), nor describe the actual mechanisms or psychological concepts, or mediators or correlates of behavior change that the planned activities are anticipated to trigger or change in their target population;
- the likely reach of the interventions and the levels of exposure to the intervention that targeted participants will experience;
- the evidence upon which the intervention activities are based; and
- issues related to implementation failure, such as a lack of targeting and tailoring, or not delivering the intervention according to the evidence-informed plans agreed upon or in a consistent manner across multiple sites.
Additional explanations for the gaps in evidence are, in part, caused by evaluation issues such as a lack of an evaluative culture in many of our public sector agencies tasked with promoting physical activity, poor quality of many of the evaluations conducted, and a tendency to present evaluation findings without reflecting on where programs have been successful for some participants but not others and the underlying reasons for this (e.g., differential motivations and mediators for various target groups).
In an attempt to address these issues and improve the planning, implementation, and evaluation of social interventions, increasing emphasis has been placed on outcome-focused planning, improved process evaluation, and evaluation approaches that attempt to enhance attribution in complex real-life interventions (where controlled experiments are more difficult to conduct). The latter evaluation approaches are often referred to as theory based. These evaluation approaches, exemplified by theories of change and realistic evaluation (Blamey & Mackenzie, 2007; Fulbright-Anderson, Kubisch, & Connell, 1998; Pawson & Tilley, 1997), attempt to uncover the program theories (e.g., the prescriptive theory or program activities and their postulated links to the outcomes), as well as the more descriptive theories (e.g., the likely causal mechanisms that will motivate behavior change, such as reduction of known barriers to physical activity, like cost or time, or changes in psychological concepts or mediators) (Chen, 1990).
Outcome-focused planning encourages planning from right to left, meaning that plans detail the specific long-term outcomes and the interim and short-term outcomes that will be needed to achieve them. These outcomes then drive the selection of activities. The activities and interventions are, in turn, influenced by evidence (in terms of evaluative learning, review evidence, and tacit experience) of their likely effect on the agreed outcomes and for specific target groups. The reality is that planning processes in many public agencies are more influenced by left to right thinking—in other words, What can we achieve through the activities that we currently offer?
Evaluation approaches linked to theory, more so than traditional evaluation approaches, seek to understand the prescriptive and descriptive theory of an intervention (Chen, 1990; Weiss, 1998) by explicating the detailed program plans and their underlying assumptions about the psychological concepts and mediators that their planned activities are trying to change. As highlighted earlier, the uncovered theories are then used to drive the design of the subsequent evaluation and the methods that it will use. These approaches attempt, where feasible, to forge explicit links between process and outcome evaluation data and findings so that changes in longer-term outcomes might be more convincingly explained by data from the detailed process evaluation. As an example, changes in participants' levels of fitness and their disease risk factors, such as reduced hypertension or cholesterolemia, would more convincingly be seen to have resulted from their participation on an exercise referral program if detailed information was available about their attendance and adherence.
Theory-based evaluations would also ideally try to strengthen the underlying descriptive theory of the program by testing what key mediators had changed in those showing positive outcomes compared with those who did not. This might involve analyzing the changes in mediators (e.g., self-efficacy or attitudes) for these two groups and their explanation for these changes or exposure to particular aspects of the intervention (e.g., access to accurate knowledge or support from significant others, changed social norms because of family or peer support and approval) (see next section on mediation analysis). The limitations in planning processes detailed earlier and subsequently, however, often limit the extent to which evaluations are actually used to refine and enhance descriptive theory.
Both outcome-focused planning and theory-driven evaluations often use tools such as logic modeling (W.K. Kellogg Foundation, 2001) and the RE-AIM framework (Estabrooks & Gyurcsik, 2003; Glasgow, Vogt, & Boles, 1999) to enhance implementation plans. Where detailed plans and theories are not already available, theory-based evaluators often use such tools to develop an evaluation framework, identify key evaluation questions, and focus the subsequent design and methods. These approaches encourage right to left thinking so that the outcomes drive the selection of activities. They can help bring evaluative thinking into program design and thus test the linkages between activities and short-term, interim, and long-term outcomes through reference to available evidence and tacit professional or participant knowledge. The combination of such tools and approaches encourages greater consideration during planning of the prescriptive and descriptive theory, or the how (which intervention activities) and why (by changing the moderators or barriers) of behavior change.
If our existing evidence base for physical activity promotion is to be enhanced, those designing, planning, implementing, and evaluating interventions need to use the tools and approaches encouraged in outcome-focused planning and theory-driven evaluation and to consider more closely how different types of theory (prescriptive and descriptive) influence behavior change.
Applying the dualistic model of passion in sport and exercise
Although some nuances were found, research reviewed in this chapter has shown that harmonious passion is generally associated with more positive consequences than obsessive passion is. It would therefore seem appropriate to propose ways of facilitating harmonious passion.
Practical Applications
Although some nuances were found, research reviewed in this chapter has shown that harmonious passion is generally associated with more positive consequences than obsessive passion is. It would therefore seem appropriate to propose ways of facilitating harmonious passion. To promote harmonious passion, the three-step process at the core of the development of passion (see Mageau, Vallerand, Charest, et al., 2009) can be used. The three steps are, respectively, (1) activity selection, (2) activity valuation, and (3) the internalization of the activity representation in a person's identity. As seen previously, the role of the social environment at each of the three stages is crucial. Adults are in a prime position to promote children's harmonious passion, especially if they nurture children's need for autonomy and relatedness. With respect to the first step of activity selection, parents and physical educators should encourage children to perform a variety of sport activities, especially at a relatively young age (3-6 years). Later on (age 7-10 years), parents can register their children for a different activity each term. When they have tried a variety of activities and have developed sufficient knowledge to make decisions (perhaps around age 10 to 13 years), children can be encouraged to decide for themselves which activity they would like to engage in for the season. Such a variety of experiences may translate into a greater likelihood of selecting an activity that is a good fit with the child's identity and will thus later become a passion (see Mageau et al., 2009). Enjoyable experiences devoid of pressure and coercion in which children are provided with autonomy support and have the opportunity to choose by themselves their sport activity should set the stage for harmonious passion to blossom. In contrast, pressure or coercion to engage in sport or physical activity is likely to lead to the development of either amotivation (or the loss of motivation) or an obsessive passion toward the sport.
Autonomy support is also recommended for the other two stages of passion development. For instance, with respect to the second step in the passion development process, namely valuation of the selected sport activity, noncontrolling and supportive parents, physical educators, and coaches who preach by example and serve as models (e.g., Bandura, 1977a) may provide the necessary impetus to lead the young athletes to invest further in the sport activity and value it even more. The role of peers should not be underestimated because friends' influence becomes increasingly important as children move toward puberty (Damon, 1988). It should not be surprising that players on the same team have similar levels and types of passion in part because of the coach's influence but also because of the modeling influence that teammates provide. Such influence may lead to the internalization of the prevalent type of passion in that particular team environment. Similarly, a harmonious passion is likely to develop if the internalization process takes place in social environments (e.g., parents, friends, and especially coaches) that promote children's sense of autonomy (Deci & Ryan, 1987, 2000) by providing opportunities for choices, ownership, or “voice” regarding decisions and behaviors. For example, athletes who have recently started cross country running would be more likely to develop a harmonious passion toward this sport if their coach clearly explains to them why it is important to practice daily and gives them opportunities to choose among various practice regimens. Conversely, chances are that the same athletes would either lose their motivation for running or develop an obsessive passion if their coach pressures or coerces them to practice more or fails to explain the purpose of various training exercises.
Finally, practitioners and coaches who work with elite athletes should keep in mind that providing autonomy support is also important with high-level athletes. Indeed, by helping athletes feel autonomous by allowing them to provide input in game decisions (perhaps in the manner of Phil Jackson of the Los Angeles Lakers), the coach is likely to help maintain athletes' harmonious passion, facilitate a high level of performance, and create positive coach-athlete relationships. Coaches and consultants may believe that it is appropriate to be controlling toward high elite and professional athletes because such practices may enhance performance. Although the evidence presented in this chapter does not indicate that being controlling necessarily undermines performance, it does indicate that such behavior is likely to lead to obsessive passion and thus to some negative outcomes, such as lower levels of psychological, health, and relational well-being in athletes. In turn, negative coach-athlete relationships may have ill effects on cohesion, indirectly and negatively affect performance, and even cost the coach her or his job. Thus, creating an autonomy supportive environment may go a long way in providing positive outcomes for both athletes and coaches.
Parsimony, elegance, conceptual coherence valuable to motivation theory
One of Einstein’s famous quotes is that in science we should make everything as simple as possible, but not too simple! Parsimony in science simply means that we keep constructs as simple as possible.
Parsimony, Elegance, and Conceptual Coherence in Sport Psychology
In 2008 I was asked to give the Coleman Griffith Lecture at the annual meeting of AASP in St. Louis, Missouri, which had the title, Whatever Happened to Parsimony, Elegance, and Conceptual Coherence in Sport Psychology? I decided to argue that forsaking some fundamental attributes of science was not in the best interests of scholars and practitioners in sport psychology. I believe that there is value in maintaining the attributes of parsimony, elegance, and conceptual coherence. Let me explain.
Parsimony
One of Einstein's famous quotes is that in science we should make everything as simple as possible, but not too simple! Parsimony in science simply means that we keep constructs as simple as possible. In my Coleman Griffith talk, I argued that there is a trend in sport psychology to make constructs more complex than they need to be. Some of this results from the natural desire to make constructs more applicable to the sport context, such as the efforts of Harwood and colleagues, but scholars often do not realize that by making things more “relevant” to sport they also make the constructs more complex and cause a subsequent loss of parsimony. McFee, a philosopher of science, is harshly critical of scholars in sport psychology because of their penchant for explaining phenomena with “boxes and arrows” and making things more complex than they should be (McFee, 2005). He argues that he is against the “boxes” mentality prevalent in sport psychology, where what is hoped for is a graphic model of boxes connected by arrows, as though sport psychologists knew what the boxes and arrows meant. In my address I gave several examples of complex multilevel theories (e.g., Vallerand, 2001; the hierarchical model of motivation derived from self-determination theory) of this trend toward complexity, in addition to the work of Elliot and colleagues (e.g., 1999) and Harwood and colleagues (e.g., 2008), which I criticized earlier. Is this trend toward complexity one that we should follow?
In her profile of Nobel Prize winners, Zuckerman (1977) gave several attributes of the typical prize winner, but one common attribute is particularly noteworthy: They see simplicity where other people see complexity. As an example, when Crick and Watson (1953) in their quest to discover the structure of the DNA molecule published their model of the double helix, Maurice Wilkins (a fellow scientist who was a rival in the quest) was surprised to see how simple the model was and is quoted to have said, “How simple, how elegant” (Watson, 1996). The quest for expanded frameworks might be valuable because we may be able to provide a better description of the complexity of motivation processes, but a cost is often present, and part of that cost is a loss of parsimony! It is well for sport scientists to remember the famous saying of William of Occam (1285-1347): “Entities are not to be multiplied beyond necessity.” Known as Occam's Razor, it is a call for parsimony, which is sometimes ignored.
There are many examples of scientists in psychology “seeing simplicity” when others had noticed only complexity. These examples spur research into the phenomenon and allow us to understand it better. The example of the social facilitation paradigm is a case in point. Historically, scientists had noted that the presence of others sometimes facilitated and sometimes inhibited the performance of individuals on a variety of tasks (e.g., Triplett, 1897). But in his review of the findings, Zajonc (1965) saw simplicity when he realized that learning tasks were inhibited by the presence of others, whereas performance tasks or simple tasks were facilitated by the presence of others. Further, he argued, the presence of others creates arousal and arousal facilitates the dominant response. When learning, the dominant response was incorrect; when performing, the dominant response was correct. This simple insight suddenly made sense of the previous 70 years of conflicting research. This ability to see simplicity sometimes gives a conceptual insight into psychological (and other disciplinary) mechanisms.
Elegance
Again, Crick and Watson (1953) give a classic example of elegance, which is the attribute of being simple but profound in its implications. In their article in Nature, they concluded by stating that it had not escaped their notice that the specific pairing of the double helix they had postulated suggested a possible copying mechanism for the genetic material! As we now know, this was the most profound scientific finding of the 20th century. The double helix solution was elegant in that it gave clear theoretical and practical meaning and changed our understanding of biological systems. Indeed, it was the birth of modern biology.
We can find many examples in psychology, too. One elegant theory is the social facilitation paradigm (Zajonc, 1965), which I discussed earlier. Zajonc demonstrated his elegant conceptual explanation with an elegant experiment. He had two groups of participants learn a complex task over many trials. One group did it in the presence of others, and the control group learned the task alone. Zajonc demonstrated that performing in the presence of others inhibited learning but facilitated later performance when compared to the control group: A simple but elegant and profound experiment demonstrated his theory. This experiment, and the later research that it stimulated (e.g., Martens, 1969), gave us insight into the reasons arousal and evaluative anxiety inhibited learning on motor tasks.
Another example of a parsimonious and elegant construct is self-efficacy (e.g., Bandura, 1977b). Self-efficacy cognitions represent a person's convictions or beliefs that he or she can successfully execute a course of action to produce a certain outcome. It is likened to a situation-specific self-confidence. But in this context, it is a simple but elegant construct that has stimulated a great deal of research into the determinants of motivation in exercise and physical activity (see Gilson & Feltz, this volume). And, of course, as I have been trying to expound, achievement goal theory in its original form is a parsimonious and elegant theory, too.
Conceptual Coherence
Parsimony and elegance are valued attributes for a theory, but conceptual coherence is an essential attribute! As we all know, theory gives meaning to data. Having an empirical paradigm that is weak on coherent constructs is not a desirable paradigm. These empirical paradigms with weak constructs, or constructs that lack conceptual coherence, are what produce the random noise in the literature against which the true signal of advancement is difficult to discern (Roberts, 1989). I must confess that in my experience with doctoral students, I find that they generally become sophisticated in research methods and statistical analyses but often struggle with understanding the psychological constructs and mechanisms about how things work psychologically. My favorite question to students who are preparing a research agenda is to ask them how they know that they are asking the right questions, or even important ones? I am reminded of the adage, If it is not worth doing, it is not worth doing well! The most important task that we can do as mentors of doctoral students is to make certain they understand that theory gives meaning to data and that statistical and research sophistication are secondary and merely tools to demonstrate the meaningfulness of theory. But they must do more than use “just any theory.” Is the theory coherent and meaningful to the question being asked? All of us have to make our own decisions about what constructs give meaning to the research that we are undertaking. My argument here is that the conceptual base should be coherent!
As an example, at the 2009 ISSP Congress in Marrakesh, Ed Deci was asked to react to some research papers, using self-determination theory as the conceptual base. When one researcher used self-determination theory to overlay his own theory to add impetus to his normal theoretical paradigm, Deci commented that it did not make much sense to do that because the theories were quite different in their conceptual base. His point was that it was better to build constructs within the conceptual paradigm used to capture the dynamics of the question being asked rather than bring in another theory and overlay the constructs of that theory over the original constructs. In other words, to give meaning to data, the theory must be conceptually coherent!
Achievement goal theory is a social-cognitive theory that was developed from the learned helplessness (mastery versus helplessness) research of Dweck (e.g., 1975), the cooperation-competition research of Ames (e.g., 1984a), the motivation research of Maehr (e.g., 1983) and the work of Nicholls (e.g., 1978) on the various conceptions of ability that children held. From this research, Nicholls saw simplicity where others had seen complexity and presented the parsimonious constructs that we all know today. Nicholls' unique contribution was to recognize that two understandings of ability existed and that previous theories had assumed one or the other. For example, self-efficacy (see Gilson & Feltz, this volume) assumes a task-involving conception of ability, whereas attribution theory (e.g., Weiner, 1972) assumes an ego-involving conception of ability. Nicholls, Maehr, Ames, and Dweck developed a theory (with their own interpretations) that recognized that both conceptions of ability need to be inherent in the theory. In addition, they recognized that individual difference variables (goal orientations) and contextual dynamics (motivational climate) were part of the same conceptual paradigm. That is the elegance of achievement goal theory. By recognizing that we each use task- or ego-involving conceptions of ability depending on the context, we have a conceptually coherent theory that encompasses both versions of the definition of success and embraces both individual difference variables (goal orientations) and the effect of the situation (motivational climate) on achievement striving.
Strategies for improving evidence of physical activity intervention effectiveness
There are several reasons for the current limitations in the evidence base and for the disappointing effect of some commonly utilized interventions (Blamey & Mutrie, 2004).
Intervention Planning and Evaluation
As highlighted in previously cited reviews (Kahn et al., 2002; Ogilvie et al., 2007), there is a need for enhanced evidence of what works in terms of promoting physical activity in the real world, that is, intervention effectiveness. There are several reasons for the current limitations in the evidence base and for the disappointing effect of some commonly utilized interventions (Blamey & Mutrie, 2004). These reasons include limitations in planning and implementation such as
- a lack of theory-driven interventions (those informed by psychological or behavioral theory that are appropriately tailored and targeted) and
- intervention plans that do not explicitly detail the following:
- the anticipated steps between the selected intervention activities and the long-term outcomes (e.g., the short and interim outcomes), nor describe the actual mechanisms or psychological concepts, or mediators or correlates of behavior change that the planned activities are anticipated to trigger or change in their target population;
- the likely reach of the interventions and the levels of exposure to the intervention that targeted participants will experience;
- the evidence upon which the intervention activities are based; and
- issues related to implementation failure, such as a lack of targeting and tailoring, or not delivering the intervention according to the evidence-informed plans agreed upon or in a consistent manner across multiple sites.
Additional explanations for the gaps in evidence are, in part, caused by evaluation issues such as a lack of an evaluative culture in many of our public sector agencies tasked with promoting physical activity, poor quality of many of the evaluations conducted, and a tendency to present evaluation findings without reflecting on where programs have been successful for some participants but not others and the underlying reasons for this (e.g., differential motivations and mediators for various target groups).
In an attempt to address these issues and improve the planning, implementation, and evaluation of social interventions, increasing emphasis has been placed on outcome-focused planning, improved process evaluation, and evaluation approaches that attempt to enhance attribution in complex real-life interventions (where controlled experiments are more difficult to conduct). The latter evaluation approaches are often referred to as theory based. These evaluation approaches, exemplified by theories of change and realistic evaluation (Blamey & Mackenzie, 2007; Fulbright-Anderson, Kubisch, & Connell, 1998; Pawson & Tilley, 1997), attempt to uncover the program theories (e.g., the prescriptive theory or program activities and their postulated links to the outcomes), as well as the more descriptive theories (e.g., the likely causal mechanisms that will motivate behavior change, such as reduction of known barriers to physical activity, like cost or time, or changes in psychological concepts or mediators) (Chen, 1990).
Outcome-focused planning encourages planning from right to left, meaning that plans detail the specific long-term outcomes and the interim and short-term outcomes that will be needed to achieve them. These outcomes then drive the selection of activities. The activities and interventions are, in turn, influenced by evidence (in terms of evaluative learning, review evidence, and tacit experience) of their likely effect on the agreed outcomes and for specific target groups. The reality is that planning processes in many public agencies are more influenced by left to right thinking—in other words, What can we achieve through the activities that we currently offer?
Evaluation approaches linked to theory, more so than traditional evaluation approaches, seek to understand the prescriptive and descriptive theory of an intervention (Chen, 1990; Weiss, 1998) by explicating the detailed program plans and their underlying assumptions about the psychological concepts and mediators that their planned activities are trying to change. As highlighted earlier, the uncovered theories are then used to drive the design of the subsequent evaluation and the methods that it will use. These approaches attempt, where feasible, to forge explicit links between process and outcome evaluation data and findings so that changes in longer-term outcomes might be more convincingly explained by data from the detailed process evaluation. As an example, changes in participants' levels of fitness and their disease risk factors, such as reduced hypertension or cholesterolemia, would more convincingly be seen to have resulted from their participation on an exercise referral program if detailed information was available about their attendance and adherence.
Theory-based evaluations would also ideally try to strengthen the underlying descriptive theory of the program by testing what key mediators had changed in those showing positive outcomes compared with those who did not. This might involve analyzing the changes in mediators (e.g., self-efficacy or attitudes) for these two groups and their explanation for these changes or exposure to particular aspects of the intervention (e.g., access to accurate knowledge or support from significant others, changed social norms because of family or peer support and approval) (see next section on mediation analysis). The limitations in planning processes detailed earlier and subsequently, however, often limit the extent to which evaluations are actually used to refine and enhance descriptive theory.
Both outcome-focused planning and theory-driven evaluations often use tools such as logic modeling (W.K. Kellogg Foundation, 2001) and the RE-AIM framework (Estabrooks & Gyurcsik, 2003; Glasgow, Vogt, & Boles, 1999) to enhance implementation plans. Where detailed plans and theories are not already available, theory-based evaluators often use such tools to develop an evaluation framework, identify key evaluation questions, and focus the subsequent design and methods. These approaches encourage right to left thinking so that the outcomes drive the selection of activities. They can help bring evaluative thinking into program design and thus test the linkages between activities and short-term, interim, and long-term outcomes through reference to available evidence and tacit professional or participant knowledge. The combination of such tools and approaches encourages greater consideration during planning of the prescriptive and descriptive theory, or the how (which intervention activities) and why (by changing the moderators or barriers) of behavior change.
If our existing evidence base for physical activity promotion is to be enhanced, those designing, planning, implementing, and evaluating interventions need to use the tools and approaches encouraged in outcome-focused planning and theory-driven evaluation and to consider more closely how different types of theory (prescriptive and descriptive) influence behavior change.
Applying the dualistic model of passion in sport and exercise
Although some nuances were found, research reviewed in this chapter has shown that harmonious passion is generally associated with more positive consequences than obsessive passion is. It would therefore seem appropriate to propose ways of facilitating harmonious passion.
Practical Applications
Although some nuances were found, research reviewed in this chapter has shown that harmonious passion is generally associated with more positive consequences than obsessive passion is. It would therefore seem appropriate to propose ways of facilitating harmonious passion. To promote harmonious passion, the three-step process at the core of the development of passion (see Mageau, Vallerand, Charest, et al., 2009) can be used. The three steps are, respectively, (1) activity selection, (2) activity valuation, and (3) the internalization of the activity representation in a person's identity. As seen previously, the role of the social environment at each of the three stages is crucial. Adults are in a prime position to promote children's harmonious passion, especially if they nurture children's need for autonomy and relatedness. With respect to the first step of activity selection, parents and physical educators should encourage children to perform a variety of sport activities, especially at a relatively young age (3-6 years). Later on (age 7-10 years), parents can register their children for a different activity each term. When they have tried a variety of activities and have developed sufficient knowledge to make decisions (perhaps around age 10 to 13 years), children can be encouraged to decide for themselves which activity they would like to engage in for the season. Such a variety of experiences may translate into a greater likelihood of selecting an activity that is a good fit with the child's identity and will thus later become a passion (see Mageau et al., 2009). Enjoyable experiences devoid of pressure and coercion in which children are provided with autonomy support and have the opportunity to choose by themselves their sport activity should set the stage for harmonious passion to blossom. In contrast, pressure or coercion to engage in sport or physical activity is likely to lead to the development of either amotivation (or the loss of motivation) or an obsessive passion toward the sport.
Autonomy support is also recommended for the other two stages of passion development. For instance, with respect to the second step in the passion development process, namely valuation of the selected sport activity, noncontrolling and supportive parents, physical educators, and coaches who preach by example and serve as models (e.g., Bandura, 1977a) may provide the necessary impetus to lead the young athletes to invest further in the sport activity and value it even more. The role of peers should not be underestimated because friends' influence becomes increasingly important as children move toward puberty (Damon, 1988). It should not be surprising that players on the same team have similar levels and types of passion in part because of the coach's influence but also because of the modeling influence that teammates provide. Such influence may lead to the internalization of the prevalent type of passion in that particular team environment. Similarly, a harmonious passion is likely to develop if the internalization process takes place in social environments (e.g., parents, friends, and especially coaches) that promote children's sense of autonomy (Deci & Ryan, 1987, 2000) by providing opportunities for choices, ownership, or “voice” regarding decisions and behaviors. For example, athletes who have recently started cross country running would be more likely to develop a harmonious passion toward this sport if their coach clearly explains to them why it is important to practice daily and gives them opportunities to choose among various practice regimens. Conversely, chances are that the same athletes would either lose their motivation for running or develop an obsessive passion if their coach pressures or coerces them to practice more or fails to explain the purpose of various training exercises.
Finally, practitioners and coaches who work with elite athletes should keep in mind that providing autonomy support is also important with high-level athletes. Indeed, by helping athletes feel autonomous by allowing them to provide input in game decisions (perhaps in the manner of Phil Jackson of the Los Angeles Lakers), the coach is likely to help maintain athletes' harmonious passion, facilitate a high level of performance, and create positive coach-athlete relationships. Coaches and consultants may believe that it is appropriate to be controlling toward high elite and professional athletes because such practices may enhance performance. Although the evidence presented in this chapter does not indicate that being controlling necessarily undermines performance, it does indicate that such behavior is likely to lead to obsessive passion and thus to some negative outcomes, such as lower levels of psychological, health, and relational well-being in athletes. In turn, negative coach-athlete relationships may have ill effects on cohesion, indirectly and negatively affect performance, and even cost the coach her or his job. Thus, creating an autonomy supportive environment may go a long way in providing positive outcomes for both athletes and coaches.