Using self-determination theory to understand motivation for walking: Instrument development and model testing using Bayesian structural equation modelling

Abstract Objective The motivational processes underpinning walking behaviour are not well understood. This study aimed to develop walking-specific motivation measures drawn from self-determination theory (SDT), assess the psychometric properties of the measures, incorporating Baysesian structural equation modelling (BSEM), and examine how these variables relate to walking behaviour. Method Participants (n = 298; mean age = 41.69; S.D. = 11.06; male = 57) completed the Behavioural Regulations in Walking Questionnaire (BRWQ), Psychological Needs Satisfaction for Walking Scale (PNSWS) and the IPAQ-long form, from which measures of workplace, transport and leisure walking were extracted. BSEM was used to test the hypothesized factor structures of the BRWQ and PNSWS. Internal reliabilities were assessed using the composite reliability coefficient. Convergent and discriminant validity were assessed by examining the relationships between the variables in relation to established theory. Results BSEM showed excellent fit for the BRWQ and PNSWS measurement models. The scales demonstrated good internal consistency. The associations within and between the BRWQ and PNSWS subscales were generally as expected. The relationship between the BRWQ subscales and walking for transport and leisure were also generally as expected, but there were no significant relationships for walking at work. Two PNSWS subscales were significantly related to walking for leisure, but no significant relationships were evident for walking for transport and at work. Conclusions There is preliminary evidence for the acceptable psychometric properties of instruments to measure SDT constructs in walking, and the findings highlight the advantages of BSEM. The findings also suggest that the motivational processes underpinning walking may vary by type of walking.

[1]  Mark J Edwards,et al.  Testing a self-determination theory model of children’s physical activity motivation: a cross-sectional study , 2013, International Journal of Behavioral Nutrition and Physical Activity.

[2]  M. Clarke,et al.  Methods to increase response to postal and electronic questionnaires , 2023, The Cochrane database of systematic reviews.

[3]  Rainbow Tin Hung Ho,et al.  Factor analyses of the Hospital Anxiety and Depression Scale: a Bayesian structural equation modeling approach , 2013, Quality of Life Research.

[4]  R. MacCallum,et al.  Model modifications in covariance structure analysis: the problem of capitalization on chance. , 1992, Psychological bulletin.

[5]  D. Markland,et al.  Need support and behavioural regulations for exercise among exercise referral scheme clients: The mediating role of psychological need satisfaction. , 2010 .

[6]  Roger Holder,et al.  The effect of walking on risk factors for cardiovascular disease: an updated systematic review and meta-analysis of randomised control trials. , 2015, Preventive medicine.

[7]  J. H. Steiger,et al.  The insidious effects of failing to include design-driven correlated residuals in latent-variable covariance structure analysis. , 2007, Psychological methods.

[8]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[9]  R. Schoot,et al.  Bayesian analyses : where to start and what to report , 2014 .

[10]  M. Deaves.  Walking to health. , 2015, Harvard men's health watch.

[11]  R. Ryan,et al.  Perceived locus of causality and internalization: Examining reasons for acting in two domains. , 1989 .

[12]  R. Ryan,et al.  Perceived locus of causality and internalization: examining reasons for acting in two domains. , 1989, Journal of personality and social psychology.

[13]  B. Muthén,et al.  Exploratory Structural Equation Modeling , 2009 .

[14]  David B. Dunson,et al.  Bayesian Structural Equation Modeling , 2007 .

[15]  S. Vlachopoulos.  The Basic Psychological Needs in Exercise Scale: Measurement Invariance Over Gender , 2008 .

[16]  J. Duda,et al.  Sources of autonomy support, subjective vitality and physical activity behaviour associated with participation in a lunchtime walking intervention for physically inactive adults , 2014 .

[17]  P. Teixeira,et al.  Helping overweight women become more active: Need support and motivational regulations for different forms of physical activity. , 2010 .

[18]  U. Ekelund,et al.  Physical activity and all-cause mortality across levels of overall and abdominal adiposity in European men and women: the European Prospective Investigation into Cancer and Nutrition Study (EPIC) , 2015, BDJ.

[19]  H. Marsh,et al.  In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings , 2004 .

[20]  D. Markland.  The mediating role of behavioural regulations in the relationship between perceived body size discrepancies and physical activity among adult women. , 2009 .

[21]  U. Ekelund,et al.  Physical activity and all-cause mortality across levels of overall and abdominal adiposity in European men and women: the European Prospective Investigation into Cancer and Nutrition Study (EPIC) , 2015, BDJ.

[22]  E. Deci,et al.  Self-Determination Theory Applied to Health Contexts , 2012, Perspectives on psychological science : a journal of the Association for Psychological Science.

[23]  Daniel F. Gucciardi,et al.  Exploratory structural equation modelling and Bayesian estimation , 2016 .

[24]  Jemma M. Harris,et al.  From Psychological Need Satisfaction to Intentional Behavior: Testing a Motivational Sequence in Two Behavioral Contexts , 2006, Personality & social psychology bulletin.

[25]  Bengt Muthén,et al.  Bayesian structural equation modeling: a more flexible representation of substantive theory. , 2012, Psychological methods.

[26]  B. Dawson,et al.  When the going gets tough: Mental toughness and its relationship with behavioural perseverance. , 2016, Journal of science and medicine in sport.

[27]  N. Ntoumanis,et al.  Examining Exercise Dependence Symptomatology from a Self-determination Perspective , 2006, Journal of health psychology.

[28]  E. Deci,et al.  The "What" and "Why" of Goal Pursuits: Human Needs and the Self-Determination of Behavior , 2000 .

[29]  A. Stenling,et al.  Bayesian structural equation modeling in sport and exercise psychology. , 2015, Journal of sport & exercise psychology.

[30]  R. MacCallum,et al.  THE APPLICATION OF EXPLORATORY FACTOR ANALYSIS IN APPLIED PSYCHOLOGY: A CRITICAL REVIEW AND ANALYSIS , 1986 .

[31]  Ying Yuan,et al.  Bayesian mediation analysis. , 2009, Psychological methods.

[32]  R. Ryan,et al.  Exercise, physical activity, and self-determination theory: A systematic review , 2012, International Journal of Behavioral Nutrition and Physical Activity.

[33]  A. Nevill,et al.  Physical activity, walking and leanness: an analysis of the Northern Ireland Sport and Physical Activity Survey (SAPAS). , 2012, Preventive medicine.

[34]  D. Markland,et al.  A Modification to the Behavioural Regulation in Exercise Questionnaire to Include an Assessment of Amotivation , 2004 .

[35]  Richard M. Ryan,et al.  Self-determination theory and exercise motivation: facilitating self-regulatory processes to support and maintain health and well-being , 2012 .

[36]  E. Deci,et al.  Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. , 2000, The American psychologist.

[37]  J. Sallis,et al.  Ecological models of health behavior. , 2008 .

[38]  B. Jackson,et al.  Toward a multidimensional model of athletes' commitment to coach-athlete relationships and interdependent sport teams: a substantive-methodological synergy. , 2014, Journal of sport & exercise psychology.

[39]  J. Duda,et al.  Physical Activity Adoption to Adherence, Lapse, and Dropout , 2014, Qualitative health research.

[40]  A. Bauman,et al.  The Toronto Charter for Physical Activity: a global call for action. , 2010, Journal of physical activity & health.

[41]  Philippe Golay,et al.  Further insights on the French WISC-IV factor structure through Bayesian structural equation modeling. , 2013, Psychological assessment.

[42]  W. M..  Examining Relationships Between Perceived Psychological Need Satisfaction and Behavioral Regulations in Exercise , 2008 .

[43]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[44]  M. Browne.  An Overview of Analytic Rotation in Exploratory Factor Analysis , 2001 .

[45]  S. Mehta,et al.  International Physical Activity Questionnaire , 2018 .

[46]  Pierre Valois,et al.  Application of Exploratory Structural Equation Modeling to Evaluate the Academic Motivation Scale , 2015 .

[47]  J A Shelly.  When the going gets tough. , 2000, Journal of Christian nursing : a quarterly publication of Nurses Christian Fellowship.

[48]  Joan L. Duda,et al.  A test of self-determination theory in the exercise domain , 2006 .

[49]  Daniel F Gucciardi,et al.  Understanding sport continuation: an integration of the theories of planned behaviour and basic psychological needs. , 2015, Journal of science and medicine in sport.

[50]  J F Sallis,et al.  Behavioral epidemiology: A systematic framework to classify phases of research on health promotion and disease prevention , 2000, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[51]  Nicholas D. Myers,et al.  Coaching efficacy and exploratory structural equation modeling: a substantive-methodological synergy. , 2011, Journal of sport & exercise psychology.

[52]  Emanuela Chemolli,et al.  Evidence against the continuum structure underlying motivation measures derived from self-determination theory. , 2014, Psychological assessment.

[53]  N. Ridgers,et al.  Construct validity of the pictorial scale of Perceived Movement Skill Competence , 2016 .

[54]  John K Kruschke,et al.  Bayesian data analysis. , 2010, Wiley interdisciplinary reviews. Cognitive science.

[55]  E. Deci,et al.  Need Satisfaction, Motivation, and Well-Being in the Work Organizations of a Former Eastern Bloc Country: A Cross-Cultural Study of Self-Determination , 2001 .

[56]  B. Verplanken,et al.  Predicting habit: The case of physical exercise ☆ , 2008 .

[57]  W. Rodgers,et al.  “It's Who I Am … Really!’ The Importance of Integrated Regulation in Exercise Contexts1 , 2007 .

[58]  Stanislav Kolenikov,et al.  Biases of Parameter Estimates in Misspecified Structural Equation Models , 2011 .

[59]  G. Schuler,et al.  Physical activity , 2001, Public Health Nutrition.

[60]  Xin-Yuan Song,et al.  Evaluation of the Bayesian and Maximum Likelihood Approaches in Analyzing Structural Equation Models with Small Sample Sizes , 2004, Multivariate behavioral research.

[61]  Philip M. Wilson,et al.  The Psychological Need Satisfaction in Exercise Scale , 2006 .

[62]  B. Ainsworth,et al.  International physical activity questionnaire: 12-country reliability and validity. , 2003, Medicine and science in sports and exercise.

[63]  Ulrich Trautwein,et al.  Please Scroll down for Article Structural Equation Modeling: a Multidisciplinary Journal Exploratory Structural Equation Modeling, Integrating Cfa and Efa: Application to Students' Evaluations of University Teaching , 2022 .

[64]  N. Ntoumanis,et al.  The basic psychological needs in exercise scale: Translation and evidence for cross‐cultural validity , 2010 .

[65]  M. Murphy,et al.  The effect of walking on fitness, fatness and resting blood pressure: a meta-analysis of randomised, controlled trials. , 2007, Preventive medicine.