PISA社会归属测量中的移民背景:用衍射透镜解释多方法DIF研究

IF 1 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY
Nathan D. Roberson, B. Zumbo
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引用次数: 7

摘要

本文使用国际学生社会归属感评估程序研究了与移民背景相关的测量不变性。我们探讨了在多组比较的情况下,使用对齐方法和逻辑回归,使用两种测量不变性技术如何深入了解差异项目功能。社会归属感是人类的核心需求,我们认为,在考虑个人如何与关于归属感的调查/项目互动时,移民背景是一个重要因素。通过衍射透镜解释的比对方法和有序逻辑回归的总体结果表明,将所分析国家内四种不同移民背景的人视为可交换群体是不合适的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Migration Background in PISA’s Measure of Social Belonging: Using a Diffractive Lens to Interpret Multi-Method DIF Studies
This paper investigates measurement invariance as it relates to migration background using the Program for International Student Assessment measure of social belonging. We explore how the use of two measurement invariance techniques provide insights into differential item functioning using the alignment method in conjunction with logistic regression in the case of multiple group comparisons. Social belonging is a central human need, and we argue that immigration background is important factor when considering how an individual interacts with a survey/items about belonging. Overall results from both the alignment method and ordinal logistic regression, interpreted through a diffractive lens, suggest that it is inappropriate to treat peoples of four different immigration backgrounds within the countries analyzed as exchangeable groups.
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来源期刊
International Journal of Testing
International Journal of Testing SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
3.60
自引率
11.80%
发文量
13
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