Mitigating Omitted Variable Bias in Exploratory Differential Item Functioning Assessment: A Propensity Score Adjustment Approach

被引：0

作者：

Chao, Hsiu-Yi ^{[1
]}

Chen, Jyun-Hong ^{[2
]}

Chen, Chi-Chen ^{[3
]}

机构：

[1] Soochow Univ, Dept Psychol, 70 Linhsi Rd, Taipei 111002, Taiwan

[2] Natl Cheng Kung Univ, Dept Psychol, 1 Univ Rd, Tainan 701401, Taiwan

[3] Natl Acad Educ Res, Res Ctr Testing & Assessment, 2 Sanshu Rd, New Taipei 237201, Taiwan

来源：

JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICS | 2024年

关键词：

differential item functioning; omitted variable bias; propensity score method; DIF-free-then-DIF strategy; I ERROR; LOGISTIC-REGRESSION; PHANTOM MENACE; DETECTING DIF; MIMIC METHODS; PURIFICATION; MODEL; RATES;

D O I：

10.3102/10769986241280308

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

Omitted variable bias (OVB) in differential item functioning (DIF) assessment can lead to biased estimates of DIF effects, increasing type I error rates and reducing statistical power. Methodologies for addressing OVB, particularly under exploratory conditions where DIF is assessed without prior information, remain underdeveloped. This study addresses these challenges by applying the propensity score (PS) method to enhance the parsimony of the DIF model. Furthermore, this study incorporated the DIF-free-then-DIF (DFTD) strategy into the PS method, establishing the PS.DFTD method for exploratory DIF assessment. The simulation results reveal that the PS.DFTD method appears promising for mitigating OVB in DIF assessment, demonstrating its potential for practical applications.

引用

页数：35