Dyadic longitudinal models: A critical review

Abstract

In this review, we discuss the most commonly used models to analyze dyadic longitudinal data. We start the review with a definition of dyadic longitudinal data that allows relationship researchers to identify when these models might be appropriate. Then, we go on to describe the three major models commonly used when one has dyadic longitudinal data: the dyadic growth curve model (DGCM), the actor–partner interdependence model (APIM), and the common fate growth model (CFGM). We discuss when each model might be used and strengths and weaknesses of each model. We end with additional thoughts that focus on extensions to new methods being discussed in the literature, along with some of the challenges of collecting and analyzing dyadic longitudinal data that might be helpful for future dyadic researchers.

Let’s Talk, Honey: An Analysis of Associations Between Communication Patterns and Dyadic Adjustment in Married Couples

“…More specifically, it is speculated that the relationship between communication and satisfaction is stronger in Western couples than in non-Western couples. Considering cultural differences in couple communication, there is a need for more studies outside of Western cultures to capture differences in communication patterns in couples across cultures (see also Iida et al, in press).…”