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5. Evaluating performance of differential item functioning detection methods for DIF data in DINA model

Evaluating performance of differential item functioning detection methods for DIF data in DINA model

来源 :北京师范大学 | 被引量 : 0次 | 上传用户：w4444w4444

【摘 要】

：

This study aims to evaluate the performance of Differential Item Functioning(DIF) detection methods(Mantel-Haenszel,Logistic Regression,Lords Chi Square and Rajus Signed Area) for Cognitive Diagnosis

【作 者】

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(O)nder Sünbül Se(c)il (O)mür Sünbül 

【机 构】

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Mersin University,Turkey

【出 处】

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北京师范大学

【发表日期】

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2015年5期

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论文部分内容阅读

This study aims to evaluate the performance of Differential Item Functioning(DIF) detection methods(Mantel-Haenszel,Logistic Regression,Lords Chi Square and Rajus Signed Area) for Cognitive Diagnosis Model(CDM) DINA type data which contain differentially functioning items in terms of Type I Error and power rate.

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