Assessment of Differential Item Functioning for Dichotomous Items with Random Item Effects via the Mantel-Haenszel and Logistic Regression Methods / 在隨機試題效果下以Mantel-Haenszel法和Logistic Regression法進行二分題差異試題功能之檢驗

碩士 / 國立中正大學 / 心理學研究所 / 100 / It is common practice in item response theory (IRT) to consider items as fixed effects and persons as random effects. Theoretically, items can be treated as random effects as well. Many studies on the assessment of differential item functioning (DIF) treat items as fixed effects. Few studies treat items as random effects; however, they didn’t manipulate all possible DIF type and high DIF percentage, and the DIF detection method they used was not easy to be implemented for practical users. Therefore, the aim of this study was to investigate the efficiency of DIF assessment for dichotomous items with random item effects via Mantel-Haenszel (Holland & Thayer, 1988; Mantel & Haenszel, 1959) and the Logistic Regression (Swaminathan & Rogers, 1990) methods. The results of random item effects were compared with those of fixed item effects in this study. The results showed the powers of DIF detection for both item effects were similar. However, the type I error of random item effects deviated 0.05 much more than that of fixed item effects. When the mean item difficulty difference (MIDD) smaller than 0.04, both item effects showed similar results in type I error and power of one-stage DIF detection methods. When MIDD was greater than 0.06, the type I error of one-stage DIF detection methods inflated significantly for both item effects; however, scale purification could reduce the inflated type I error. This study investigated the DIF detection under the random item effects and fixed item effects simultaneously, and the simulations were manipulated to real situation. Hence, the results from the study are expected to facilitate the understanding and the explanation of the DIF assessment when the items come from a distribution in practice.

Identiferoai:union.ndltd.org:TW/100CCU00071017
Date January 2012
CreatorsShih-Chiang Kao, 高世強
Contributors蘇雅蕙
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format104

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