The purpose of this article is to expand the literature on case formulation as a clinical tool for use within exercise psychology, generally and lifestyle behavior change interventions, specifically. Existing research offers limited support for the efficacy of current physical activity behavior change intervention strategies, particularly in the long-term. The present paper argues that intervention strategies need to pay greater attention to the complex and individualistic nature of exercise and health related behaviors. It has been suggested that existing intervention designs tend to conform to a medical model approach, which can at times potentially neglect the complex array of personal and situational factors that impact on human motivation and behavior. Case formulation is presented as a means of encouraging a dynamic and comprehensive approach to the development and implementation of practical interventions within the health behavior change field. The adoption of these clinical techniques may facilitate the careful consideration of variations in the development, manifestation, and maintaining mechanisms of problematic behaviors (e.g., inactivity). An overview of case formulation in its different forms is presented alongside a justification for its use within exercise psychology.
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Exploring the Potential of Case Formulation Within Exercise Psychology
Andrew J. Hutchison and Lynne H. Johnston
Erratum. Predicting Accelerometer-Assessed Estimates of Adolescent’s Multidimensional Physical Activity: A Self-Determination Theory Approach
Journal of Sport and Exercise Psychology
Sport & Exercise Psychology . Published online April 24, 2024. https://doi.org/10.1123/jsep.2017-0293 In the title of the article, the phrase “Adolescents’ Multidimensional Physical Activity,” which indicates plural adolescents, appeared as “Adolescent’s Multidimensional Physical Activity,” which would
Erratum. Sport Psychology Practitioners’ Contributions to the Drafting Process of a Professional Esports Team: A Case Study
Case Studies in Sport and Exercise Psychology
Studies in Sport and Exercise Physiology, 8 (1), 55–65. This paper was first published as part of the special issue “Beyond the esports horizon—Expanding the realms of sport and exercise psychology.” It should have been published in the regular annual issue for 2024. The article was corrected July 12
From Sport Psychology to Sport and Exercise Psychology: A 40-year Update
Diane L. Gill, Erin J. Reifsteck, and Leilani Madrigal
, I offer my views on the key developments, topics, and issues in sport and exercise psychology (SEP), and its relationship to the larger kinesiology discipline, as well as look to future directions. To help this senior author, my two coauthors (L. Madrigal and E.J. Reifsteck) are early career
Comparisons and Conversions: A Methodological Note and Caution for Meta-Analysis in Sport and Exercise Psychology
Andrew P. Hill
Meta-analysis is an increasingly popular tool in sport and exercise psychology. The increase in popularity of the analysis is, perhaps, due to a number of reasons, not least its potential to summate large amounts of information from research, address important questions that otherwise could not be
Social Psychology and Physical Activity: A Senior Perspective
Diane L. Gill
sport and exercise psychology. First, I’ll go historical and ramble on about the past, from my perspective; I will include some of my research in those ramblings. Then, as many seniors do, I’ll get cranky and tell you what’s wrong with kids today (particularly in sport and exercise psychology) and how
The Influence of Affective Priming on the Affective Response During Exercise: A Replication Study
Sinika Timme, Jasmin Hutchinson, Anton Regorius, and Ralf Brand
). Affective Priming Priming interventions have also found their way into health-related behaviors. In exercise psychology, preliminary research has explored the effects of masked affective stimuli (i.e., subliminally presented emotion words or facial expressions) during exercise. For example, Blanchfield et
Incorporating Recent Advances in Measurement in Sport and Exercise Psychology
Richard Fletcher
Measurement has a high profile in sport and exercise psychology research and provides the basis for examining and developing theory. The current state of sport and exercise psychology is one of complex models and theories, and sophisticated measurement methods are required to fully understand and develop these. This paper promotes a current and powerful measurement approach, item response theory, and demonstrates how it can be applied to sport and exercise psychological constructs to enhance the quality of instrument development and strengthen construct validity.
On the Swedish Road to Becoming a Professional Practitioner in Sport and Exercise Psychology: Students’ Views, Hopes, Dreams, and Worries
Urban Johnson and Mark Andersen
Education and training are foundations of professional practice in sport and exercise psychology (SEP), and, like many other applied and academic disciplines, SEP is undergoing a gradual advancement in terms of theoretical, methodological, and practical development. In a period with new social
Bayesian Structural Equation Modeling in Sport and Exercise Psychology
Andreas Stenling, Andreas Ivarsson, Urban Johnson, and Magnus Lindwall
Bayesian statistics is on the rise in mainstream psychology, but applications in sport and exercise psychology research are scarce. In this article, the foundations of Bayesian analysis are introduced, and we will illustrate how to apply Bayesian structural equation modeling in a sport and exercise psychology setting. More specifically, we contrasted a confirmatory factor analysis on the Sport Motivation Scale II estimated with the most commonly used estimator, maximum likelihood, and a Bayesian approach with weakly informative priors for cross-loadings and correlated residuals. The results indicated that the model with Bayesian estimation and weakly informative priors provided a good fit to the data, whereas the model estimated with a maximum likelihood estimator did not produce a well-fitting model. The reasons for this discrepancy between maximum likelihood and Bayesian estimation are discussed as well as potential advantages and caveats with the Bayesian approach.
