Indistinguishability tests in the actor-partner interdependence model

被引：16

作者：

Gistelinck, Fien ^{[1
]}

Loeys, Tom ^{[1
]}

Decuyper, Mieke ^{[2
]}

Dewitte, Marieke ^{[3
]}

机构：

[1] Univ Ghent, Dept Data Anal, Henri Dunantlaan 2, Ghent, Belgium

[2] Thomas More Univ Coll, Appl Psychol, Antwerp, Belgium

[3] Maastricht Univ, Clin Psychol Sci, Maastricht, Netherlands

来源：

BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY | 2018年 / 71卷 / 03期

关键词：

actor-partner interdependence model; dyadic data; indistinguishability; (restricted) maximum likelihood; STRUCTURAL EQUATION MODELS; DYADIC DATA; MULTILEVEL MODELS; CONTEXT;

D O I：

10.1111/bmsp.12129

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

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 equationmodelling 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.

引用

页码：472 / 498

页数：27

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