利用项目反应理论中的项目水平污染对基于卡方和熵的项目拟合方法的研究

Q3 Mathematics Journal of Modern Applied Statistical Methods Pub Date : 2020-10-02 DOI:10.22237/JMASM/1604190480

William Dardick, Brandi A. Weiss

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引用次数: 0

摘要

研究了项目反应理论中作为项目拟合测度的熵的新变体。蒙特卡罗模拟检查项目级别不匹配的异常条件，以评估相对（比较EMRj、X2、G2、s-X2和PV-Q1）和绝对（I型误差和经验功率）性能。EMRj在发现不匹配方面很有用。

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An Investigation of Chi-Square and Entropy Based Methods of Item-Fit Using Item Level Contamination in Item Response Theory

New variants of entropy as measures of item-fit in item response theory are investigated. Monte Carlo simulation(s) examine aberrant conditions of item-level misfit to evaluate relative (compare EMRj, X2, G2, S-X2, and PV-Q1) and absolute (Type I error and empirical power) performance. EMRj has utility in discovering misfit.

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来源期刊

Journal of Modern Applied Statistical Methods STATISTICS & PROBABILITY-

CiteScore

0.50

自引率

0.00%

发文量

期刊介绍： The Journal of Modern Applied Statistical Methods is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, and quantitative or qualitative methodologists/evaluators.