Applying Rao-Scott Chi-square Analysis to Multiple Response Survey Data: The Case of College Students’ Information Sources and Their Body Image

• 발행기관: 한국자료분석학회
• 저자명: Hak-Seon Kim
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.15 No.4, 1811~1820쪽, 전체 10쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2013.08.30

영문 초록

The study accessed the analysis of survey data with multiple response variables. There are numerous studies dealing with multiple response variables. However, in some cases, the researchers simply ignored the fact that when they are dealing with multiple response variables. Specifically the pearson chi-square test is not a reliable test when multiple response variables are being analyzed. Therefore, this study employed the first order Rao-Scott corrected chi-square to analyze a college students’ health related information sources and their self-perceived body image comparing to traditional chi-square chi-square. The first order Rao-Scott corrected chi-square test revealed that there was strong association between health related information sources and body image showing better result than Decay, Thomas chi-square. Students who described himself or herself as underweight mainly used ‘TV’ to get health related information. In the other hand, overweighted students group’ main health related information sources was ‘Internet’.

목차

1. Introduction

2. Literature Review

3. Methods

4. Results and Discussion

5. Conclusion and Future Studies

References

키워드

Rao-Scott Corrected Chi-square, Multiple Response Variable, Categorical Data, Health-related Information Sources, Body Image