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Indistinguishability tests in the actor-partner interdependence model.
British Journal of Mathematical and Statistical Psychology ( IF 2.6 ) Pub Date : 2018-02-15 , DOI: 10.1111/bmsp.12129
Fien Gistelinck 1 , Tom Loeys 1 , Mieke Decuyper 2 , Marieke Dewitte 3
Affiliation  

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.

中文翻译:

行为者-伙伴相互依赖模型中的不可区分性测试。

在考虑二元数据时,问题之一是两个二元成员的角色是否可以视为相等。可以使用参与者-伙伴相互依存模型中的不可区分性测试凭经验回答此问题。在本文中,讨论了与这种不可区分性测试有关的几个问题:方差参数相等性的基于最大似然性和受限最大似然性检验的差异;在结构方程建模和多级建模框架之间进行选择;并针对一组不可区分性测试使用顺序测试而不是一个全局测试。基于模拟研究,我们提供最佳实践指南。所有不同类型的测试都用横截面和纵向数据说明,并用相应的R代码进行确认。
更新日期:2018-02-15
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