Indistinguishability tests in the actor-partner interdependence model
Research output: Contribution to journal › Article › Academic › peer-review
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.
- actor-partner interdependence model, dyadic data, indistinguishability, (restricted) maximum likelihood, STRUCTURAL EQUATION MODELS, DYADIC DATA, MULTILEVEL MODELS, CONTEXT, Cross-Sectional Studies, Humans, Male, Psychometrics/methods, Multilevel Analysis, Likelihood Functions, Computer Simulation, Female, Interpersonal Relations, Longitudinal Studies