Score-based tests of measurement invariance: use in practice
Score-based tests of measurement invariance: use in practice
复制标题
基于分数的测量不变性测试：实践中的使用
作者：
Ting Wang;Edgar C. Merkle;A. Zeileis
在本文中，我们考虑了一个家庭最近提出的测量不变性测试的基础上的分数拟合模型。该族可用于检验测量不变性w.r.t.一个连续的辅助变量，没有预先指定的子组。此外，当希望测试测量不变性w.r.t.时可以使用该族。序辅助变量，产生对与序变量单调相关的违规敏感的测试统计量（对非单调违规不太敏感）。本文专门针对那些可能希望了解（1）如何将测试用于其数据的潜在用户，以及（2）测试是否可以准确识别违反测量不变性的特定模型参数（可能存在模型错误指定）。在提供了测试的概述之后，我们通过R包lavaan和structchange说明了它们的一般用途。然后，我们描述了两个新的模拟，提供证据的测试的实用能力。总的来说，本文为研究人员提供了将这些测试应用于一般测量不变性场景所需的工具和知识。
In this paper, we consider a family of recently-proposed measurement invariance tests that are based on the scores of a fitted model. This family can be used to test for measurement invariance w.r.t. a continuous auxiliary variable, without pre-specification of subgroups. Moreover, the family can be used when one wishes to test for measurement invariance w.r.t. an ordinal auxiliary variable, yielding test statistics that are sensitive to violations that are monotonically related to the ordinal variable (and less sensitive to non-monotonic violations). The paper is specifically aimed at potential users of the tests who may wish to know (1) how the tests can be employed for their data, and (2) whether the tests can accurately identify specific models parameters that violate measurement invariance (possibly in the presence of model misspecification). After providing an overview of the tests, we illustrate their general use via the R packages lavaan and strucchange. We then describe two novel simulations that provide evidence of the tests' practical abilities. As a whole, the paper provides researchers with the tools and knowledge needed to apply these tests to general measurement invariance scenarios.
影响因子：
7
作者：
Lubke, GH;Muthén, B
通讯作者：
Muthén, B
DOI：
10.1080/01621459.2014.912955
发表时间：
2015-03-01
影响因子：
3.7
作者：
Klein, Nadja;Kneib, Thomas;Lang, Stefan
通讯作者：
Lang, Stefan