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Indistinguishability tests in the actor–partner interdependence model
Authors:Fien Gistelinck  Tom Loeys  Mieke Decuyper  Marieke Dewitte
Institution:1. Department of Data Analysis, Ghent University, Belgium;2. Applied Psychology, Thomas More University College, Antwerp, Belgium;3. Clinical Psychological Science, Maastricht University, The Netherlands
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.
Keywords:actor–partner interdependence model  dyadic data  indistinguishability  (restricted) maximum likelihood
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