Meta-Analytic Analysis of Invariance Across Samples: Introducing a Method That Does Not Require Raw Data

IF 2.5 3区 心理学 Q2 PSYCHOLOGY, SOCIAL
A. af Wåhlberg, G. Madison, U. Aasa, Jeong Jin Yu
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引用次数: 0

Abstract

Abstract Invariance of surveys across different groups means that the respondents interpret the items in the same way, as reflected in similar factor loadings, for example. Invariance can be assessed using various statistical procedures, such as Multi-Group Confirmatory Factor Analysis. However, these analyses require access to raw data. Here, we introduce a meta-analytic method that requires only the factor correlation matrices of samples as input. It compares the structures of intercorrelations of factors by correlating these values across two samples, yielding a value of overall similarity for how the factors intercorrelate in different samples. This method was tested in three different ways. We conclude that the method yields useful results and can assess invariance when raw data are not available.
跨样本不变性的元分析:引入一种不需要原始数据的方法
不同群体间调查的不变性意味着受访者以相同的方式解释项目,例如,反映在相似的因素负荷中。不变性可以使用各种统计程序进行评估,例如多组验证性因子分析。然而,这些分析需要访问原始数据。在这里,我们引入一种元分析方法,只需要样本的因子相关矩阵作为输入。它通过在两个样本中关联这些值来比较因素相互关系的结构,从而得出不同样本中因素相互关系的总体相似性值。这个方法用三种不同的方式进行了测试。我们得出结论,该方法产生了有用的结果,并且可以在没有原始数据时评估不变性。
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来源期刊
CiteScore
4.50
自引率
12.50%
发文量
7
期刊介绍: Basic and Applied Social Psychology (BASP) emphasizes the publication of outstanding research articles, but also considers literature reviews, criticism, and methodological or theoretical statements spanning the entire range of social psychological issues. The journal will publish basic work in areas of social psychology that can be applied to societal problems, as well as direct application of social psychology to such problems. The journal provides a venue for a broad range of specialty areas, including research on legal and political issues, environmental influences on behavior, organizations, aging, medical and health-related outcomes, sexuality, education and learning, the effects of mass media, gender issues, and population problems.
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