지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2017.6
- 수록면
- 757 - 766 (10page)
- DOI
- 10.13000/JFMSE.2017.29.3.757
이용수
초록· 키워드
오류제보하기
This study investigated not only the existence of differently functioned item due to gender but also domain. In this study, the randomly selected data of TIMSS 2007, which consist of 681 male and 646 women, were analyzed.
To detect differently functioned items, this study employed Raju method. For Raju method, three-parameter logistic model was selected. Signed and unsigned area between two item characteristic curve were measured within the real ability range. An item which was detected commonly SA and UA area in Raju method was defined as a differently functioned item.
As a result of this study, six items among twenty seven items of mathematics in the TIMSS 2007 were differently functioned item. Five items among those six items, were in favor of boys and one item was in favor of girls. Number, Geometric Shapes and Measures, and Applying were in favor of boys. but Data Display, Reasoning were in favor of girls.
The conclusion of this study was summarized as existing differently functioned items in TIMSS 2007 and difference between favorable domain based gender. Finally, it is desirable to consider the differently functioned items by relating those item content for improving the test reliability of TIMSS 2007.
To detect differently functioned items, this study employed Raju method. For Raju method, three-parameter logistic model was selected. Signed and unsigned area between two item characteristic curve were measured within the real ability range. An item which was detected commonly SA and UA area in Raju method was defined as a differently functioned item.
As a result of this study, six items among twenty seven items of mathematics in the TIMSS 2007 were differently functioned item. Five items among those six items, were in favor of boys and one item was in favor of girls. Number, Geometric Shapes and Measures, and Applying were in favor of boys. but Data Display, Reasoning were in favor of girls.
The conclusion of this study was summarized as existing differently functioned items in TIMSS 2007 and difference between favorable domain based gender. Finally, it is desirable to consider the differently functioned items by relating those item content for improving the test reliability of TIMSS 2007.
목차
Abstract
Ⅰ. 서론
Ⅱ. 이론적 배경
Ⅲ. 연구 방법
Ⅳ. 결과
Ⅴ. 논의 및 결론
References
참고문헌 (58)
참고문헌 신청
Ahn, Chang-kyu & Cha, Kyung-Ok(1984). A Comparison of Four Statistical Procedures for Detecting Test Item-Bias. Social Survey Research, 3, 29~49.
Angoff, W. H.(1982) Use of item difficulty and discriminant indices for detecting item bias. ed. by Berk, R. A. In Handbook of method for detecting test bias, 96~116. Baltimore, London: The Johns Hopkins University Press,
Angoff, W. H. & Ford, S. F.(1973). Item-race interaction on a test of scholastic aptitude. Journal of Educational Measurement, 10(2), 95~106
Baker, F. B., & Al-Karni, A.(1991). EQUATE: Computer program for equating two metrics in item response theory [Computer program]. Madison WI: University of Wisconsin, Laboratory of Experimental Design.
Camilli, G.(1979). A critique of the chi-square method assessing item bias. Unpublished paper, Laboratory of Education Research, University of Colorado at Boulder.
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UCI(KEPA) : I410-ECN-0101-2018-454-000907732