Psychometric Properties of the Children's Active Play Imagery Questionnaire (CAPIQ) in Children Aged 7-14 Years: The Persian Version

Document Type : Original Article

Authors

1 Assistant Professor, Department of Physical Education, Farhangian University, P.O. Box 14665-889, Tehran, Iran.

2 Ms in Motor Behavior, Tehran. Iran.

Abstract

Purpose: The aim of this study was to examine the psychometric properties of the Persian version of the children's active play imagery questionnaire (CAPIQ) in children aged 7-14 years.
Methods: This study falls under descriptive research and is categorized as a tool validation study. The necessary information was collected cross-sectionally. A total of 310 participants (110 girls and 200 boys) completed the CAPIQ developed by Cooke and colleagues (2014) to ensure the generalizability of the results. The questionnaire consists of 11 questions and three visualization components: capability imagery (4 questions), fun imagery (3 questions), and social imagery (4 questions). It assesses children's active play imagery on a 5-point Likert scale (1 never to 5 almost always). A subset of 50 participants was selected for test-retest reliability assessment after a two-week interval. Confirmatory factor analysis based on structural equation modeling was used for construct validity assessment, Cronbach's alpha coefficient was used for internal consistency, and temporal reliability was assessed using the test-retest method with a two-week interval.
Results: The results of confirmatory factor analysis indicated a good fit for the Persian version of the Children's Active Play Imagery Questionnaire (indices: CFI=0.91, GFI=0.92, RMSEA=0.044, PNFI=0.69). The internal consistency (Cronbach's alpha) of the total questionnaire was 0.918, and the internal consistency of the capability imagery component was 0.932, fun imagery component was 0.903, and social imagery component was 0.919. The test-retest reliability of the total questionnaire was 0.88, and the reliability of the capability imagery, fun imagery, and social imagery components were 0.79, 0.92, and 0.86, respectively.
Conclusion: The Persian version of the CAPIQ demonstrates acceptable validity and reliability in children in Isfahan and can be utilized by athletes, coaches, and researchers.

Keywords

References

  1. Shams A, Shamsipour Dehkordi P. Psychometric Properties of Sport Imagery Questionnaire among Iranian National Team’s Athletes. Motor Behavior. 2017; 9(28): 17-36. In Persian https://doi.org/10.22089/mbj.2017.3144.1387
  2. Hall CR, Rodgers WM, Wilson PM, Norman P. Imagery use and self-determined motivations in a community sample of exercisers and non-exercisers. Applied Social Psychology. 2010, 40(1):135–152. https://psycnet.apa.org/doi/10.1111/j.1559-1816.2009.00566.x
  3. Behnke M, Tomczak M, Kaczmarek LD, Komar M, Gracz J. The sport mental training questionnaire: Development and validation. Current Psychology. 2019;38(2): 504-16. https://doi.org/10.1007/s12144-017-9629-1
  4. Zaid Abadi R, Rezaei F, Motasharei E. Psychometric properties and normalization of Persian Version of Ottawa Mental Skills Assessment Tools (OMSAT-3). Sport Psychology Studies. 2014;7(12):63-82. In persian
  5. Guerrero M, Munroe-Chandler K. A Conceptual Model of Children’s Active Play Imagery, Quest, 2018, 70(3), 354–369. https://doi.org/10.1080/00336297.2017.1393624
  6. Hall CR, Mack DE, Paivio A, Hausenblas HA. Imagery use by athletes: Development of the sport imagery questionnaire. International Journal of Sport Psychology, 1998, 29, 73-89.
  7. Slough C, Masters SC, Hurley RA, Taber KH. Clinical positron emission tomography (PET) neuroimaging: advantages and limitations as a diagnostic tool. The Journal of neuropsychiatry and clinical neurosciences. 2016;28(2):A4-71. https://doi.org/10.1176/appi.neuropsych.16030044
  8. Munroe-Chandler KJ, Hall CR. Enhancing the Collective Efficacy of a Soccer Team through Motivational General-Mastery Imagery. Imagination, Cognition and Personality, 2004, 24(1), 51-67.

https://doi.org/10.2190/UM7Q-1V15-CJNM-LMP4

  1. Arvinen-Barrow M, Weigand D, Hemmings B, Walley The use of imagery across competitive levels and time of season: A cross sectional study among synchronized skaters in Finland. European Journal of Sport Science, 2008, 8, 135–142. http://dx.doi.org/10.1080/17461390801987968
  2. Tobin D, Nadalin EJ, Munroe-Chandler KJ, Hall CR. Children’s active play imagery. Psychology of Sport and Exercise, 2013, 14(3), 371–378. 

https://doi.org/10.1016/j.psychsport.2012.12.007

  1. Veraksa AN, Yakushina AA. Testing of the Movement Imagery Questionnaire for Children on a Russian Sample of Young Athletes. New Ideas in Child and Educational Psychology, 2022, 2 (3–4), 68-76. https://doi.org/10.11621/nicep.2022.0305
  2. Butler AJ, Cazeaux J, Fidler A, Jansen J, Lefkove N, Gregg M, Hall C, Easley KA, Shenvi N, Wolf SL. The Movement Imagery Questionnaire-Revised, Second Edition (MIQ-RS) Is a Reliable and Valid Tool for Evaluating Motor Imagery in Stroke Populations. Evid Based Complement Alternat Med. 2012;2012:497289. https://doi.org/10.1155/2012/497289
  3. Nakano H, Kodama T, Ukai K, Kawahara S, Horikawa S, Murata S. Reliability and Validity of the Japanese Version of the Kinesthetic and Visual Imagery Questionnaire (KVIQ). Brain Sci. 2018 May 2;8(5):79. https://doi.org/10.3390/brainsci8050079
  4. Williams SE, Cumming J, Edwards MG. The functional equivalence between movement imagery, observation, and execution influences imagery ability. Res Q Exerc Sport, 2011, 82(3), 555-564. https://doi.org/10.1080/02701367.2011.10599788
  5. Fu Y, Zhou Z, Gong A, Qian Q, Su L, Zhao L. Decoding of Motor Coordination Imagery Involving the Lower Limbs by the EEG-Based Brain Network. Comput Intell Neurosci. 2021; 5565824.

 https://doi.org/10.1155/2021/5565824

  1. Davari, F. Psychometric Properties of Persian Version of Sport Imagery Ability Questionnaire (SIAQ) among Athlete Students. Sports Psychology, 2023; 15(2): 207-220. In Persian https://doi.org/10.48308/mbsp.2021.104818.2578
  2. Huang SW, Chang TY. Social Image Impacting Attitudes of Middle-Aged and Elderly People toward the Usage of Walking Aids: An Empirical Investigation in Taiwan. Healthcare (Basel). 2020, 8(4):543. https://doi.org/10.3390/healthcare8040543
  3. Cooke L, Munroe-Chandler K, Hall C, Tobin D, Guerrero M. Development of the children's active play imagery questionnaire. J Sports Sci. 2014;32(9):860-9. https://doi.org/10.1080/02640414.2013.865250
  4. Tomayer JA, Munroe-Chandler KJ, Hall CR, Guerrero M. Validation of the Children's Active Play Imagery Questionnaire (CAPIQ), Exercise Psychology Abstracts, 2015, 47.1.
  5. Guerrero M, Munroe-Chandler K. Examining children’s physical activity, imagery ability, and active play imagery. Imagination, Cognition and Personality, 2018, 37(4), 412–429. 

https://doi.org/10.1177/0276236617739398

  1. Kashani VO, Gol Mohamadi B, Mokaberian M. Psychometric Properties of the Persian Version of Children’s Active Play Imagery Questionnaire. Ann Appl Sport Sci 2017; 5 (4) :49-59. http://dx.doi.org/10.29252/aassjournal.5.4.49
  2. Rasafiani M, Sahaf R, Shams A, Vameghi R, Zareian H, Akrami R. Validity and reliability of the persian version of the world health organization quality of life questionnaire–the older adults edition. Iranian Journal of Ageing. 2020;15(1):41-28. In Persian http://dx.doi.org/10.32598/sija.2020.3.110
  3. Meyers LS, Gamest G, Garino AJ. Functional multivariate research. Translated by PashaSharifi et al. Roshd Publication. Tehran. Iran. 2006, In Persian
  4. Thomas JR, Nelson JK, Silverman SResearch methods in physical activity. Human Kinetics. 2005.
  5. Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modelling, 1999, 6, 1–55. https://doi.org/10.1080/10705519909540118
  6. Brown TA. Confirmatory factor analysis for applied research. Guilford Publications. 2006.
  7. Terry PC, Lane AM. Normative values for the Profile of Mood States for use with athletic samples. Journal of Applied Sport Psychology, 2000, 12, 93-109.  https://doi.org/10.1080/10413200008404215
  8. Satorra A, Bentler PM. A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 2001, 66, 507–514. https://doi.org/10.1007/BF02296192
  9. Garcia AW, Broda MA, Frenn M, Coviak C, Pender NJ, Ronis DL. Gender and developmental differences in exercise beliefs among youth and prediction of their exercise behavior. J Sch Health. 1995;65(6):213-9. https://doi.org/10.1111/j.1746-1561.1995.tb03365.x
  10. Wang CK, Chatzisarantis NL, Spray CM, Biddle SJ. Achievement goal profiles in school physical education: differences in self-determination, sport ability beliefs, and physical activity. Br J Educ Psychol. 2002;72(Pt 3):433-45. 

https://doi.org/10.1348/000709902320634401

Sports Psychology
Volume 16, Issue 2
2024
Pages 247-262

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History

  • Receive Date: 30 December 2022
  • Revise Date: 11 July 2023
  • Accept Date: 30 August 2023

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