在使用分类项目测量工具进行的多站点研究中,能否在多个站点之间建立一个集合?多重测试程序

IF 2.1 3区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Educational and Psychological Measurement Pub Date : 2024-07-27 DOI:10.1177/00131644241267010
T. Raykov, Khaled Alkherainej
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引用次数: 0

摘要

我们概述了在当代教育和行为研究中经常使用的多地点环境中检验地点可比性的程序。该方法基于对多组分测量工具中多组分项目的反应分布的跨地点同一性的检验,这意味着对研究地点进行集合的可能性。该方法可随时应用于使用流行和广泛流传的软件进行的实证研究,并适用于各种类型的项目。所述程序以一项儿童发展调查的数据为例进行说明。
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Can One Pool Over Site in a Multi-Site Study With Categorical Item Measuring Instruments?: A Multiple Testing Procedure
We outline a procedure for examining collapsibility over site in multiple-location settings that are frequently utilized in contemporary educational and behavioral research. The method is based on a test of cross-site identity of the response distributions of polytomous items in multi-component measuring instruments, which implies the possibility to pool over study location. The approach is readily applicable in empirical studies using popular and widely circulated software and is generalizable to various types of items. The described procedure is illustrated with data from a child development survey.
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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.
期刊最新文献
Investigating the Ordering Structure of Clustered Items Using Nonparametric Item Response Theory Added Value of Subscores for Tests With Polytomous Items An Ensemble Learning Approach Based on TabNet and Machine Learning Models for Cheating Detection in Educational Tests. An Illustration of an IRTree Model for Disengagement. A Relative Normed Effect-Size Difference Index for Determining the Number of Common Factors in Exploratory Solutions.
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