year 5, Issue 4 (Winter 2017)
Ann Appl Sport Sci 2017, 5(4): 49-59 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Kashani V O, 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
URL: http://aassjournal.com/article-1-319-en.html
URL: http://aassjournal.com/article-1-319-en.html
1- Division of Motor Behavior, Department of Physical Education, University of Semnan, Semnan, Iran , vkashani@semnan.ac.ir
2- Division of Motor Behavior, Department of Physical Education, University of Semnan, Semnan, Iran
3- Department of Sports Science, Shahrood University Of Technology, Shahrood, Iran
2- Division of Motor Behavior, Department of Physical Education, University of Semnan, Semnan, Iran
3- Department of Sports Science, Shahrood University Of Technology, Shahrood, Iran
Abstract: (8764 Views)
Objectives. The purpose of this study was to determine the validity and reliability of the Persian version of the children’s active play imagery questionnaire.
Methods. For this purpose, 190 athletic children of the average age of 11.5 years were chosen through random sampling and they completed the Persian version of the children’s active play imagery questionnaire (CAPIQ). At first, the data was confirmed with the use of back translation methods and check translation accuracy. Then, a confirmatory factor analysis, based on the structural equations model, was done to determine the constructive validity of the questionnaire. To determine its internal consistency, the Cronbach’s alpha coefficient was used. The intra-class correlation coefficient (ICC) in the test-retest method was calculated to assess the temporal reliability of items.
Results. The confirmatory factor analysis results suggested that the approximation square mean root was 0.07 and the comparative fit index was 0.94. Three factors and 11 items were properly verified in the questionnaire. The results of the Cronbach’s alpha coefficient and the ICC showed that the CAPIQ has appropriate internal and temporal consistency in answers.
Conclusion. Therefore, the Persian version of the CAPIQ can be regarded as a valid and reliable tool to be used by the researchers.
Full-Text [PDF 598 kb]
(1805 Downloads)
APPLICABLE REMARKS
APPLICABLE REMARKS
• It is recommended to use this tool in order to evaluation of children’s active play imagery.
• Physical education teachers can use this tool to measure the student’s active play imagery.
• To increase the level of knowledge and talent Identification in the many Federations coaches should use this questioner.
• Physical education teachers can use this tool to measure the student’s active play imagery.
• To increase the level of knowledge and talent Identification in the many Federations coaches should use this questioner.
Type of Study: Original Article |
Subject:
Sport Psychology and its Related Branches
Received: 2017/03/30 | Accepted: 2017/06/9
Received: 2017/03/30 | Accepted: 2017/06/9
References
1. Weinberg RS, Gould D. Foundations of Sport and Exercise Psychology, 6E: Human Kinetics; 2014.
2. White A, Hardy L. An in-depth analysis of the uses of imagery by high-level slalom canoeists and artistic gymnasts. The Sport Psychologist. 1998;12(4):387-403. [DOI:10.1123/tsp.12.4.387]
3. Hall C. Imagery in sport and exercise. Handbook of sport psychology. 2001;2:529-49.
4. Martin KA, Moritz SE, Hall CR. Imagery use in sport: A literature review and applied model. The sport psychologist. 1999;13(3):245-68. [DOI:10.1123/tsp.13.3.245]
5. Munroe-Chandler K, Hall C, Fishburne G. Playing with confidence: The relationship between imagery use and self-confidence and self-efficacy in youth soccer players. Journal of sports sciences. 2008;26(14):1539-46. [DOI:10.1080/02640410802315419] [PMID]
6. Stanley DM, Cumming J. Are we having fun yet? Testing the effects of imagery use on the affective and enjoyment responses to acute moderate exercise. Psychology of Sport and Exercise. 2010;11(6):582-90. [DOI:10.1016/j.psychsport.2010.06.010]
7. Paivio A. Cognitive and motivational functions of imagery in human performance. Canadian journal of applied sport sciences Journal canadien des sciences appliquées au sport. 1985;10(4):22S-8S.
8. Veitch J, Salmon J, Ball K. Children's active free play in local neighborhoods: a behavioral mapping study. Health education research. 2007;23(5):870-9. [DOI:10.1093/her/cym074] [PMID]
9. Whaley DE. A life span developmental approach to studying sport and exercise behavior. 2007.
10. Stadulis RE, MacCracken MJ, Eidson TA, Severance C. A children's form of the competitive state anxiety inventory: The CSAI-2C. Measurement in Physical Education and Exercise Science. 2002;6(3):147-65. [DOI:10.1207/S15327841MPEE0603_1]
11. Davies P, Gregory J, White A. Physical activity and body fatness in pre-school children. International journal of obesity and related metabolic disorders: journal of the International Association for the Study of Obesity. 1995;19(1):6-10.
12. Cooke L, Munroe-Chandler K, Hall C, Tobin D, Guerrero M. Development of the children's active play imagery questionnaire. Journal of sports sciences. 2014;32(9):860-9. [DOI:10.1080/02640414.2013.865250] [PMID]
13. Crocker L, Algina J. Introduction to classical and modern test theory: ERIC; 1986.
14. Dunn JG, Bouffard M, Rogers WT. Assessing item content-relevance in sport psychology scale-construction research: Issues and recommendations. Measurement in Physical Education and Exercise Science. 1999;3(1):15-36. [DOI:10.1207/s15327841mpee0301_2]
15. Anshel MH. Psychological inventories used in sport psychology research. The Sport Psychologist. 1987;1(4):331-49. [DOI:10.1123/tsp.1.4.331]
16. Rasool Zeidabadi FR, Ebrahim Moteshare. Psychometric Properties and Normalization of Persian Version of. Ottawa Mental Skills Assessment Tools (OMSAT-3). Sport Psychology Review. 2014;3(7):63-82.
17. Kashani Vo, Honarmand P. Psychometric properties of Persian version the self-efficacy for exercise scale for older adults. koomesh Journal. 2017;19(3):565-76 [Article in Farsi].
18. Kline RB. Principles and practice of structural equation modeling: Guilford publications; 2015.
19. Schutz RW G, M.E. Use, misuse, and disuse of psychometrics in sport
20. Terry PC, Lane AM, Fogarty GJ. Construct validity of the Profile of Mood States—Adolescents for use with adults. Psychology of Sport and Exercise. 2003;4(2):125-39. [DOI:10.1016/S1469-0292(01)00035-8]
21. Browne MW, Cudeck R. Alternative ways of assessing model fit. Sage focus editions. 1993;154:136-.
22. Thomas JR, Silverman S, Nelson J. Research methods in physical activity, 7E: Human kinetics; 2015.
23. Kashani VOF, Ahmad. Kazemnejad, Anoshirvan. Sheikh, Mahmuod The Persian version of sport mental toughness questionnaire (SMTQ). The Motor Behavior. 2014;7(20):49-72.
24. Hu Lt, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal. 1999;6(1):1-55. [DOI:10.1080/10705519909540118]
25. Loewenthal KM, Gullickson T. An introduction to psychological tests and scales. Psyccritiques. 1997;42(8):757.
26. Deci EL, Ryan RM. The general causality orientations scale: Self-determination in personality. Journal of research in personality. 1985;19(2):109-34. [DOI:10.1016/0092-6566(85)90023-6]
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
