Abstract
The aim of this study is to assess the efficiency of using the multiple-group categorical confirmatory factor analysis (MCCFA) and the robust chi-square difference test in differential item functioning (DIF) detection for polytomous items under the minimum free baseline strategy. While testing for DIF items, despite the strong assumption that all but the examined item are set to be DIF-free, MCCFA with such a constrained baseline approach is commonly used in the literature. The present study relaxes this strong assumption and adopts the minimum free baseline approach where, aside from those parameters constrained for identification purpose, parameters of all but the examined item are allowed to differ among groups. Based on the simulation results, the robust chi-square difference test statistic with the mean and variance adjustment is shown to be efficient in detecting DIF for polytomous items in terms of the empirical power and Type I error rates. To sum up, MCCFA under the minimum free baseline strategy is useful for DIF detection for polytomous items.
Original language | English |
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Pages (from-to) | 181-199 |
Number of pages | 19 |
Journal | Journal of Educational Measurement |
Volume | 52 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2015 Jun 1 |
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ASJC Scopus subject areas
- Education
- Developmental and Educational Psychology
- Applied Psychology
- Psychology (miscellaneous)
Cite this
DIF Detection Using Multiple-Group Categorical CFA With Minimum Free Baseline Approach. / Chang, Yu Wei; Huang, Wei Kang; Tsai, Rung-Ching.
In: Journal of Educational Measurement, Vol. 52, No. 2, 01.06.2015, p. 181-199.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - DIF Detection Using Multiple-Group Categorical CFA With Minimum Free Baseline Approach
AU - Chang, Yu Wei
AU - Huang, Wei Kang
AU - Tsai, Rung-Ching
PY - 2015/6/1
Y1 - 2015/6/1
N2 - The aim of this study is to assess the efficiency of using the multiple-group categorical confirmatory factor analysis (MCCFA) and the robust chi-square difference test in differential item functioning (DIF) detection for polytomous items under the minimum free baseline strategy. While testing for DIF items, despite the strong assumption that all but the examined item are set to be DIF-free, MCCFA with such a constrained baseline approach is commonly used in the literature. The present study relaxes this strong assumption and adopts the minimum free baseline approach where, aside from those parameters constrained for identification purpose, parameters of all but the examined item are allowed to differ among groups. Based on the simulation results, the robust chi-square difference test statistic with the mean and variance adjustment is shown to be efficient in detecting DIF for polytomous items in terms of the empirical power and Type I error rates. To sum up, MCCFA under the minimum free baseline strategy is useful for DIF detection for polytomous items.
AB - The aim of this study is to assess the efficiency of using the multiple-group categorical confirmatory factor analysis (MCCFA) and the robust chi-square difference test in differential item functioning (DIF) detection for polytomous items under the minimum free baseline strategy. While testing for DIF items, despite the strong assumption that all but the examined item are set to be DIF-free, MCCFA with such a constrained baseline approach is commonly used in the literature. The present study relaxes this strong assumption and adopts the minimum free baseline approach where, aside from those parameters constrained for identification purpose, parameters of all but the examined item are allowed to differ among groups. Based on the simulation results, the robust chi-square difference test statistic with the mean and variance adjustment is shown to be efficient in detecting DIF for polytomous items in terms of the empirical power and Type I error rates. To sum up, MCCFA under the minimum free baseline strategy is useful for DIF detection for polytomous items.
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U2 - 10.1111/jedm.12073
DO - 10.1111/jedm.12073
M3 - Article
AN - SCOPUS:84930147328
VL - 52
SP - 181
EP - 199
JO - Journal of Educational Measurement
JF - Journal of Educational Measurement
SN - 0022-0655
IS - 2
ER -