用莫肯量表分析小样本识别有问题的项目特征。

IF 2.1 3区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Stefanie A Wind
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引用次数: 3

摘要

当被试的样本相对较少时,研究者经常使用莫肯量表分析(MSA),这是一种项目反应理论的非参数方法。研究人员对不同条件下MSA应用的最小样本量提供了一些指导。然而,这些研究并没有关注项目层面的测量问题,如违反单调性或不变项目顺序(IIO)。此外,这些研究都集中在一个完整的考生样本中出现的问题。本研究采用模拟研究来考虑MSA项目分析程序对潜在变量有限范围内出现的问题项目特征的敏感性。只要考虑到项目质量的多个指标,结果通常支持在小样本(约100名考生)下使用MSA。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Identifying Problematic Item Characteristics With Small Samples Using Mokken Scale Analysis.

Identifying Problematic Item Characteristics With Small Samples Using Mokken Scale Analysis.

Identifying Problematic Item Characteristics With Small Samples Using Mokken Scale Analysis.

Researchers frequently use Mokken scale analysis (MSA), which is a nonparametric approach to item response theory, when they have relatively small samples of examinees. Researchers have provided some guidance regarding the minimum sample size for applications of MSA under various conditions. However, these studies have not focused on item-level measurement problems, such as violations of monotonicity or invariant item ordering (IIO). Moreover, these studies have focused on problems that occur for a complete sample of examinees. The current study uses a simulation study to consider the sensitivity of MSA item analysis procedures to problematic item characteristics that occur within limited ranges of the latent variable. Results generally support the use of MSA with small samples (N around 100 examinees) as long as multiple indicators of item quality are considered.

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来源期刊
Educational and Psychological Measurement
Educational and Psychological Measurement 医学-数学跨学科应用
CiteScore
5.50
自引率
7.40%
发文量
49
审稿时长
6-12 weeks
期刊介绍: Educational and Psychological Measurement (EPM) publishes referred scholarly work from all academic disciplines interested in the study of measurement theory, problems, and issues. Theoretical articles address new developments and techniques, and applied articles deal with innovation applications.
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