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行为者-伙伴相互依赖模型中的不可区分性测试。

Indistinguishability tests in the actor-partner interdependence model.

作者信息

Gistelinck Fien, Loeys Tom, Decuyper Mieke, Dewitte Marieke

机构信息

Department of Data Analysis, Ghent University, Belgium.

Applied Psychology, Thomas More University College, Antwerp, Belgium.

出版信息

Br J Math Stat Psychol. 2018 Nov;71(3):472-498. doi: 10.1111/bmsp.12129. Epub 2018 Feb 15.

Abstract

When considering dyadic data, one of the questions is whether the roles of the two dyad members can be considered equal. This question may be answered empirically using indistinguishability tests in the actor-partner interdependence model. In this paper several issues related to such indistinguishability tests are discussed: the difference between maximum likelihood and restricted maximum likelihood based tests for equality in variance parameters; the choice between the structural equation modelling and multilevel modelling framework; and the use of sequential testing rather than one global test for a set of indistinguishability tests. Based on simulation studies, we provide guidelines for best practice. All different types of tests are illustrated with cross-sectional and longitudinal data, and corroborated with corresponding R code.

摘要

在考虑二元数据时,其中一个问题是两个二元成员的角色是否可被视为平等。这个问题可以通过在行为者-伙伴相互依赖模型中使用不可区分性检验来实证回答。本文讨论了与这种不可区分性检验相关的几个问题:基于最大似然和受限最大似然的方差参数相等性检验之间的差异;结构方程建模和多水平建模框架之间的选择;以及对于一组不可区分性检验使用顺序检验而非一个全局检验。基于模拟研究,我们提供了最佳实践指南。所有不同类型的检验都用横截面数据和纵向数据进行了说明,并用相应的R代码进行了验证。

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