Psychometrics of the Persian version of two metacognition belief and metacognition process questionnaires in sports

Document Type : Original research

Authors
fahimeh sepehri 1
rokhsareh badami 2
Zohreh Meshkati 2
1 PhD candidate in Motor Behavior, Departmentof Physical Education and Sports Sciences, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
2 Associate Professor of Motor Behavior, Department of Physical Education and Sport Science, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
10.22089/spsyj.2024.15106.2413
Abstract
Objectives: It is very important to evaluate the processes and factors of self-regulation among athletes. This study was conducted with the aim of psychometrically analyzing the Persian version of two questionnaires, the Metacognitive Beliefs about Performances Questionnaire (MBPQ) and the Metacognitive Processes during Performances Questionnaire (MPPQ).
Methods & Materials: Both questionnaires were adapted to the Persian language and then completed online by 464 male and female Iranian athletes from various sports fields and with different levels of performance.
Results: Confirmatory factor analysis showed that both questionnaires had sound factor validity. Reliability and internal consistency tests showed that the reliability was sufficient for all subscales of both questionnaires. Bivariate correlations and correlations of hidden factors showed that between most variables except negative beliefs about the uncontrollability of competitive thinking, which had a negative relationship with the dimensions of competitive self-regulation; There are positive relationships. Finally, comparative analyses showed that there were significant differences between high and low competitive level athletes in metacognition, with higher-level athletes reporting more adaptive metacognitive regulation during competitions.
Conclusions: Based on the findings, the MBPQ can be used as a suitable tool to measure metacognitive beliefs about the performances and the MPPQ can be used as a suitable tool to measure metacognitive processes during performance.
Keywords
metacognitive beliefs
metacognitive processes
athletes
performance

Main Subjects

  1. Balk, Y. A., & Englert, C. (2020). Recovery self-regulation in sport: Theory, research, and practice. International journal of sports science & coaching, 15(2), 273-281.
  2. Deci, E.L., & Ryan, R.M. (1985). The General Causality Orientations Scale: Self-determination in Personality, Journal of Research in Personality, 19(2), 109-134.
  3. Eton, D. T., Gilner, F. H., & Munz, D. C. (1998). The measurement of imagery vividness: A test of the reliability and validity of the Vividness of Visual Imagery Questionnaire and the Vividness of Movement Imagery Questionnaire. Journal of Mental Imagery.
  4. Eysenck, M. W., Derakshan, N., Santos, R., & Calvo, M. G. (2007). Anxiety and cognitive 21 performance: attentional control theory. Emotion, 7(2), 336.
  5. Farmanbar, R., Niknami, S., Haidarnia, A.R., & Hajizadeh, E. (2009), Validity and Reliability of Questionnaire-2 of the Behavioral Regulations in Exercise in Iran, Behbood, 13(3), 252-260.
  6. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (Vol. 6).
  7. Hempell, T., Van Leeuwen, G., & Van der Wiel, H. (2004). ICT, innovation and business performance in services: evidence for Germany and The Netherlands. The economic impact of ICT, 12(3), 131.
  8. Howard, M. C. (2016). A review of exploratory factor analysis decisions and overview of 5 current practices: What we are doing and how can we improve? International 6 Journal of Human-Computer Interaction, 32(1), 51-62.
  9. Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55.
  10. Jonker, J., & Pennink, B. (2010). The essence of research methodology: A concise guide for master and PhD students in management science. Springer Science & Business Media.
  11. Jonker, L., Elferink-Gemser, M. T., & Visscher, C. (2010). Differences in self-regulatory skills among talented athletes: The significance of competitive level and type of sport. Journal of sports sciences, 28(8), 901-908.
  12. KARAOĞLU, B., Turan, M. B., & GÖZLER, A. (2020). The Predictive Power of the Organizational Commitments of Assigned Teachers in Different Branches on Their Organizational Dissent. Romanian Journal for Multidimensional Education/Revista Romaneasca pentru Educatie Multidimensionala, 12.
  13. Larson, C. B. (2009). Metacognition: New research developments. Nova Science Publishers, Inc.
  14. Li, S., Xu, L. D., & Zhao, S. (2015). The internet of things: a survey. Information systems frontiers, 17, 243-259.
  15. Love, S., Kannis-Dymand, L., & Lovell, G. P. (2018a): Metacognitions in triathletes: Associations with attention, state anxiety, and relative performance, Journal of Applied Sport Psychology.
  16. Love, S., Kannis-Dymand, L., & Lovell, G. P. (2019). Development and validation of the metacognitive beliefs about performances questionnaire. International Journal of Sport Psychology, 50(5), 411-436.
  17. Love, S., Kannis-Dymand, L., & Lovell, G.P. (2018b): Metacognitions and mindfulness in athletes: An investigation of the determinants of flow. Journal of Clinical Sport Psychology, 1-30. DOI: 10.1123/jcsp.2017-0038.
  18. Love, S., Kannis-Dymand, L., & Lovell, G.P. (2018c): Sports specific metacognitions: Associations with flow state in triathletes. (In Production).
  19. Moran, T. P. (2016). Anxiety and working memory capacity: A meta-analysis and narrative review. Psychological bulletin, 142(8), 831.
  20. Rosa, W. E., Roberts, K. E., Schlak, A. E., Applebaum, A. J., Breitbart, W. S., Kantoff, E. H., ... & Lichtenthal, W. G. (2022). The critical need for a meaning-centered team-level intervention to address healthcare provider distress now. International Journal of Environmental Research and Public Health, 19(13), 7801.
  21. Shamsipour Dehkordi, P, Bahrami, (2016). The Effectiveness of Self-Regulation and Meta Cognition Beliefs on Sporting Success in Elite, Expert and Beginner Athletes. Research in educational sports, 4(10), 81-96.‎
  22. Toering, T. T., Elferink-Gemser, M. T., Jordet, G., & Visscher, C. (2009). Self-regulation and performance level of elite and non-elite youth soccer players. Journal of sports sciences, 27(14), 1509-1517.
  23. Wells, A. (2006). The metacognitive model of worry and generalised anxiety disorder. In Davey & Wells (Eds.) Worry and its psychological disorders: Theory, assessment and treatment, 179-199.
  24. Wells, A., & Matthews, G. (1996). Modelling cognition in emotional disorder: The S-REF model. Behaviour research and therapy, 34(11), 881-888.
  25. Williams, K. J., Donovan, J. J., & Dodge, T. L. (2000). Self-regulation of performance: Goal establishment and goal revision processes in athletes. Human Performance, 13(2), 159-180.
  26. Zimmerman BJ. (2000) Attaining self-regulation: a social cognitive perspective. In: Boekaerts M, Pintrich PR and Zeidner M (eds) Handbook of Self-Regulation. San Diego, CA: Academic Press, , pp.13–39.
  27. Elferink-Gemser, M. T., & Hettinga, F. J. (2017). Pacing and self-regulation: important skills for talent development in endurance sports. International journal of sports physiology and performance, 12(6), 831-835.
  28. Sakalidis, K. E., Menting, S. G. P., Elferink-Gemser, M. T., & Hettinga, F. J. (2022). The Role of the Social Environment in Pacing and Sports Performance: A Narrative Review from a Self-Regulatory Perspective. International Journal of Environmental Research and Public Health, 19(23), 16131.
  29. Zimmerman, B.J.; Moylan, A.R. (2009) Self-regulation: Where metacognition and motivation intersect. In Handbook of Metacognition in Education; Hacker, D.J., Dunlosky, J., Graesser, A.C., Eds.; Routledge: London, UK; pp. 299–315.
  30. Dinsmore, D. L., Alexander, P. A., & Loughlin, S. M. (2008). Focusing the conceptual lens on 24 metacognition, self-regulation, and self-regulated learning. Educational Psychology Review, 20, 25 391–409.
  31. Brick, N. E., MacIntyre, T. E., & Campbell, M. J. (2016). Thinking and action: A cognitive 23 perspective on self-regulation during endurance performance. Frontiers in Physiology, 7, 159.
  32. Cleary, T. J., Zimmerman, B. J., & Keating, T. (2006). Training physical education students to self7 regulate during basketball free throw practice. Research Quarterly for Exercise and Sport, 77, 8 251–262.
  33. . Efklides, A. (2006). Metacognition and affect: what can metacognition experiences tell us about the learning process? Educational Research Review, 1(1), 3-14.
  34. Parray, M. A. (2023). Role of Academic Procrastination on Metacognition and Obsessive Beliefs of Senior secondary school Students in Special reference with Central Central Kashmir.
  35. Ku, K. Y. L., and Ho, I. T. (2010). Metacognitive strategies that enhance critical thinking. Metacognition Learning, 5, 251-267.
  36. Tarricone, P. (2011). The taxonomy of metacognition. Psychology Press.
  37. Jackson, B. C. (2021). Elite Sports Coaching and Feedback: The use of communication and metacognitive strategies in sport (Doctoral dissertation, University of Melbourne).
  38. Nunnally, J. (1988). Psychometric theory (2nd 4 Ed). New York: McGraw-Hill.
  39. Field, A. (2013). Discovering statistics using IBM SPSS statistics. sage.
  40. Barrett, E., Kannis‐Dymand, L., Love, S., Ramos‐Cejudo, J., & Lovell, G. P. (2023). Sports specific metacognitions and competitive state anxiety in athletes: A comparison between different sporting types. Applied Cognitive Psychology, 37(1), 200-211.

 

Sport Psychology Studies
Volume 13, Issue 47
April 2024
Pages 99-122

  • Receive Date 28 June 2023
  • Revise Date 01 January 2024
  • Accept Date 05 February 2024