Analyzing nonindependent outcomes in couple therapy using the actor-partner interdependence model

Abstract

The nonindependent components of couple data require data-analytic strategies tailored to the interpersonal processes occurring between relationship partners. This article examines the benefits of a specifically dyadic analytic method, the actor-partner interdependence model (APIM), for evaluating interpartner influence across time. Both conceptual and methodological features of the APIM are exemplified by applying this model to observations of negative and positive affect and global distress in spouses participating in a randomized trial of couple therapy. In addition to elucidating specific advantages of the APIM relative to alternative data-analytic strategies, the current results shed new light on previous findings from a comparative treatment outcome study evaluating behavioral and insight-oriented approaches to couple therapy.