列联表方法在差异项目功能分析中的比较研究

J. Pedrajita
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引用次数: 0

摘要

本研究提供了差异项目功能(DIF)分析的示范。它利用了200名初中生在化学成就测试中的测试成绩,这是一项测试其心理测量特性的测量方法。100名学生来自公立学校,另外100名是私立学校的考生;100名男生,100名女生;低能力学生95名,高能力学生105名。DIF分析采用四种列联表方法,即卡方分析、干扰反应分析、Logistic回归和Mantel-Haenszel统计,以确定在学校类型、性别和英语能力匹配的考生之间存在偏差的测试项目。然后比较四种方法的结果。调查结果显示,存在以学校类型、性别和英语能力为基础的DIF项目。逻辑回归和Mantel-Haenszel统计在识别潜在偏倚的测试项目方面有高度的对应关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comparative Study on using Contingency Table Approaches in Differential Item Functioning Analysis
This study provides a demonstration of differential item functioning (DIF) analysis. It made use of test scores of 200 junior high school students on a Chemistry Achievement Test, a measure tested for its psychometric properties. One hundred students came from a public school, while the other 100 were private school examinees; one hundred students were males and the other 100 were females; and 95 students were of low ability and 105 students were of high ability based on their English II grades. Four contingency table approaches, the Chi-Square, Distractor Response Analysis, Logistic Regression and the Mantel-Haenszel Statistic, were applied in the DIF analysis to identify test items indicating bias between examinees matched on school type, gender, and English ability. Thereafter, the results for the four approaches were compared. The findings revealed the presence of items indicating school type-, gender-, and English ability-based DIF. There was a high degree of correspondence between the Logistic Regression and the Mantel-Haenszel Statistic in identifying potentially biased test items.
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