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기성복 소비자의 구매불안척도 개발과 타당도 검증
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  • 기성복 소비자의 구매불안척도 개발과 타당도 검증
저자명
유태준
간행물명
한국의류학회지
권/호정보
1995년|19권 2호|pp.216-229 (14 pages)
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한국의류학회
파일정보
정기간행물|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

The main purpose of this study was to develop and validate a scale for measuring situationulcornerspecific anxiety that consumers experience while shopping for readyulcornerto-wear clothes. A 92 five-point items, Likert type scale, entitled the RMCCAS(The ReadyulcornerMade Clothes Consumer Anxiety Scale) was developed and administered to 354 female college students. Data collected were subjected to a series of statistical analysis: item analysis, factor analysis, estimation of validity and reliability and descriptive statistics. A second-order factor analysis conducted to 15 factors obtained from a first-order factor analysis yieled three factors; Fitness of Fashion and Design to indiviuality and time(scale 1), Reliance on Price and Quality including Suitableness of Material and Color(scale 2), and Practicality in Dressing and Maintaining(scale 3). Obtained concurrent validity of the RMCCAS subscales with the trait anxiety were .056(subscale I), .082(subscale 2), .033(subscale 3), and .050(total scale). that with state anxiety were .421(subscale I), .217(subscale 2), .198 (subscale 3), and .407(total scale); that with the CP AS were. 721(subscale 1), .789(subscale 2), .570(subscale 3), and .841(total scale). All of the obtained coefficients of Cronbach alpha, splitulcornerhalf reliability, and test-retested reliability over an interval of. 8 weeks were above .80. Besides, descriptive data from the RMCCAS satisfactorily supported conditions required for the normal distribution of obtained scores. In conclusion, a close exa:nination of validity, reliability, and descriptive statistics of the RMCCAS indicates that three subscales including the scale have a resonable scaling-propulcornererties. Further research is suggested for obtaining norms for more representative target samples and for tapping the possibility of using subsea Ie 2 as a unidimensional measure .