DOI QR코드

DOI QR Code

Study on the validity of PEAS for analyzing doping attitude and disposition of Korean elite player through Rasch model

엘리트 선수의 도핑 사고성향 분석을 위한 한국형 PEAS의 타당도 검증: Rasch 모형 적용

  • Kim, Tae Gyu (Department of Sports Medicine, Taeneung National Training Center of Korean Olympic Committee) ;
  • Kim, Sae Hyung (Department of Physical Education, Chungbuk National University)
  • 김태규 (대한체육회 태릉선수촌) ;
  • 김세형 (충북대학교 체육교육과)
  • Received : 2014.03.31
  • Accepted : 2014.05.05
  • Published : 2014.05.31

Abstract

PEAS (performance enhancement attitude scale) has been used to measure attitude and disposition toward doping in elite athlete. It is constructed of 17-item, 6-point scale. The purpose of this study was to verify validity of the PEAS for Korean elite player through Rasch model. The scale was administered to 438 Korean elite players. Principal component analysis was used to verify unidimensionality using SPSS program. Rasch measurement computer program, WISTEPS, was used to estimate goodness-of-fit of items and category structure. Differenctial item functioning by gender was also estimated by the WINSTEPS program. All alpha level was set at 0.05. First, principal component analysis showed that unidimensionality is satisfied as over 20.0% of variance of eigenvalue. Second, category probabilities curve showed 5-point scale was better than 6-point scaled statistically. Third, seven items (1, 9, 10, 12, 13, 14, 17) in the 17-item were not good model fit and three items (3, 12, 13) were estimated as the differential item functioning. This study showed that 9-item, 5-point scale is better PEAS to Korean elite player.

이 연구는 Rasch 모형을 적용하여 우리나라 엘리트 선수의 도핑 사고성향 분석을 위한 PEAS의 타당도를 검증하는데 목적이 있다. PEAS (performance enhancement attitude scale)는 Petroczi (2006)이 제시한 선수들의 도핑 (doping)에 대한 사고방식과 성향을 측정하는 척도로 17문항 6점 척도로 구성되어 있다. 국가대표 엘리트 선수 438명을 대상으로 측정하였고, Rasch 모형을 적용하여 타당도를 분석하였다. 우선 Rasch 모형의 기본가정인 일차원성을 검증하기 위해 SPSS 프로그램을 적용하여 주성분분석을 실시하였다. 문항의 적합도 검증과 측정척도 범주의 타당도, 그리고 성별에 따른 차별기능문항을 추출하기 위해 Winsteps 프로그램을 이용하였다. 분석에 모든 유의수준은 .05로 설정하였다. 자료분석 결과는 다음과 같다. 첫째, 총 17문항으로 구성된 PEAS는 일차원성을 만족하는 것으로 나타났다. 둘째, 응답범주 수의 타당도는 6점척도보다 5점척도가 더 적합한 것으로 나타났다. 셋째, 문항의 적합도는 17문항 중 7문항 (문항1, 문항9, 문항10, 문항12, 문항13, 문항14, 문항17)이 통계적으로 적합하지 못한 것으로 나타났다. 넷째, 성별에 따른 차별기능문항 분석 결과 3문항 (문항3, 문항12, 문항13)이 추출되었다. 따라서 이 연구에서 우리나라 엘리트 선수의 도핑 사고성향분석을 위한 PEAS는 9문항 5점척도가 타당한 것으로 구명되었다.

Keywords

References

  1. Beck, A. T., Steer, R. A. and Garbin. M. G. (1988). Psychometric properties of the Beck Depression Inventory: Twenty-five years of evaluation. Clinical Psychology Review, 8, 77-100. https://doi.org/10.1016/0272-7358(88)90050-5
  2. Chi, E. L. (2001). Comparing holistic and analytic scoring for performance assessment with many facet Rasch model. Journal of Applied Measurement, 2, 279-388.
  3. Chi, E. L. (2003). Constructing the scale of information mind using IRT and evaluating the level of primary and secondary school students. The Korean Society for Educational Technology, 19, 111-130.
  4. Cho, J. H. and Song, K. J. (2003). Rasch calibration and evaluation of perceived barriers to exercise and walking among college women. The Korean Journal of Measurement and Evaluation in Physical Education and Sport Science, 5, 29-31.
  5. Chung, H. (2005). The Rasch model: An alternative method for analyzing ordinal data. Korea Coaching Development Center, 3, 133-141.
  6. Chung, H. and Noh, E. Y. (2006). Calibration of the extraversion scale using the Rasch rating scale model. Korea Sport Research, 16, 949-956.
  7. Hong, S. H. (2009). Structural equation modeling. Unpublished, Seoul.
  8. Hong, S. H. and Cho, Y. R. (2006). Construction of a short version of the dysfunctional beliefs test: An application of Rasch rating scale model. The Korean Journal of Clinical Psychology, 25, 866-880.
  9. Kim, E. K. and Kim, T. G. (2014). Attitudes and dispositions toward doping in Korea National Player. The Korean Society of Sport Science, 23, 215-224.
  10. Kim, J. H., Kim, M. G., Kim, E. J. and Shin, E. J. (2008). Developing a problematic online game use scale: Identifying underlying factors and testing convergent and discriminant validity. Studies on Korean Youth, 19, 385-415.
  11. Kim, S. H., Kang, S. J. and Yang, E, S. (2011). Development and validation of obesity risk measurement scale through Rasch model. The Korean Journal of Measurement and Evaluation in Physical Education and Sport Science, 13, 9-22.
  12. Kim, T. G. and Kim, E. K. (2013). Attitudes and dispositions toward doping in adolescent elite athletes. The Korean Journal of Sport Medicine, 31, 99-106. https://doi.org/10.5763/kjsm.2013.31.2.99
  13. Korea Anti Doping Agency (2013). 2013 Education of anti doping. http://www.kada-ad.or.kr.
  14. Lee, H. J. (2013). Doping prohibition, why is it reasonable? Critique of doping prohibition and reflection of doping permission. Korean Society for Sport Anthropology, 8, 57-81.
  15. Lee, S. M. (2000). Basic of factor analysis, Science of Education. Seoul.
  16. Linacre, J. M. and Wright, B. D. (1994). A user's guide to facets: Rasch measurement computer program, MESA, Chicago.
  17. McNamara, T. F. (1996). Measuring second language performance, Longman, London.
  18. Park, C. H. (2010). Item response theory using WinBUGWS program, Korea Education Evaluation Workshop, Seoul.
  19. Petroczi, A. (2006). Measuring attitude toward doping: Further evidence for the psychometric properties of the Performance Enhancement Attitude Scale, 14th Congress of the European Association for Sport Management, Nicosia.
  20. Petroczi, A. (2007). Attitudes and doping: A structural equation analysis of the relationship between athletes' attitudes, sport orientation and doping behaviour. Substance Abuse Treatment Prevention and Policy, 2, 34. https://doi.org/10.1186/1747-597X-2-34
  21. Petroczi, A. (2009). Measuring explicit attitude toward doping: Review of the psychometric properties of the Performance Enhancement Attitude Scale. Psychology of Sport and Exercise, 10, 390-396. https://doi.org/10.1016/j.psychsport.2008.11.001
  22. Reckase, M. D. (1979). Unifactor latent trait models applied to multifactor tests: Results and implications. Journal of Educational Statistics, 4, 207-230. https://doi.org/10.3102/10769986004003207
  23. Seol, H. (2007). A psychometric investigation of the Marlowe-Crowne social desirability scale using Rasch measurement. Measurement and Evaluation in Counseling an Development, 40, 155-168. https://doi.org/10.1080/07481756.2007.11909812
  24. Verroken, M. (2000) Drug use and abuse in sport. Best Practice and Research Clinical Endocrinology and Metabolism, 14, 1-23. https://doi.org/10.1053/beem.2000.0050

Cited by

  1. Korean national athletes’ knowledge, practices, and attitudes of doping: a cross-sectional study vol.12, pp.1, 2017, https://doi.org/10.1186/s13011-017-0092-7
  2. The Item Analysis and the Content Validity for Developing a Short Form of Korean Version of the Music-Based Evaluation of Cognitive Functioning vol.19, pp.1, 2014, https://doi.org/10.21330/kjmt.2017.19.1.73
  3. 한국형 Performance Enhancement Attitude Scale의 타당도 평가 vol.17, pp.5, 2014, https://doi.org/10.14400/jdc.2019.17.5.385