差异项目功能分析中倾向得分方法的性能研究

Q3 Mathematics Journal of Modern Applied Statistical Methods Pub Date : 2020-04-14 DOI:10.22237/jmasm/1556669280

Yan Liu, Chanmin Kim, Amery Wu, P. Gustafson, Edward Kroc, B. Zumbo

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引用次数: 3

摘要

为了评估差异项目功能分析的倾向评分方法的性能，进行了这项模拟研究，以评估在不同水平的效应大小和各种模型错误指定条件下的偏差、均方误差、I型误差和功率，包括不同类型和缺失模式的协变量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Investigating the Performance of Propensity Score Approaches for Differential Item Functioning Analysis

To evaluate the performance of propensity score approaches for differential item functioning analysis, this simulation study was conducted to assess bias, mean square error, Type I error, and power under different levels of effect size and a variety of model misspecification conditions, including different types and missing patterns of covariates.

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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.