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http://dx.doi.org/10.7465/jkdi.2014.25.3.567

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

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)
Publication Information
Journal of the Korean Data and Information Science Society / v.25, no.3, 2014 , pp. 567-578 More about this Journal
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.
Keywords
Doping attitude disposition; elite player; Rasch model; validity;
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  • Reference
1 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.
2 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.   DOI   ScienceOn
3 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.   DOI   ScienceOn
4 Reckase, M. D. (1979). Unifactor latent trait models applied to multifactor tests: Results and implications. Journal of Educational Statistics, 4, 207-230.   DOI
5 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.   DOI
6 Verroken, M. (2000) Drug use and abuse in sport. Best Practice and Research Clinical Endocrinology and Metabolism, 14, 1-23.   DOI   ScienceOn
7 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.
8 Hong, S. H. (2009). Structural equation modeling. Unpublished, Seoul.
9 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.
10 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.
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.   DOI
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 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.   DOI   ScienceOn
17 Linacre, J. M. and Wright, B. D. (1994). A user's guide to facets: Rasch measurement computer program, MESA, Chicago.
18 McNamara, T. F. (1996). Measuring second language performance, Longman, London.
19 Park, C. H. (2010). Item response theory using WinBUGWS program, Korea Education Evaluation Workshop, Seoul.
20 Chi, E. L. (2001). Comparing holistic and analytic scoring for performance assessment with many facet Rasch model. Journal of Applied Measurement, 2, 279-388.
21 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.
22 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.
23 Chung, H. (2005). The Rasch model: An alternative method for analyzing ordinal data. Korea Coaching Development Center, 3, 133-141.
24 Chung, H. and Noh, E. Y. (2006). Calibration of the extraversion scale using the Rasch rating scale model. Korea Sport Research, 16, 949-956.