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Abstract

Dyadic designs have been used in health research to investigate intra- and inter-personal mechanisms of health and well-being in various types of dyads, including parent–child dyads, siblings, friends, and romantic partners. Although a growing number of researchers are designing studies that capture the interdependent complexities of relationships, many still need more information on how to analyze the data in a way that maximizes its value. Therefore, the purpose of this review paper is twofold: (1) to address some of the ways in which dyadic data analysis is being used in current health research, with an emphasis on research that has employed the Actor-Partner Interdependence Model, and (2) to propose and explain various methodological and substantive considerations that researchers should consider when using dyadic data analysis in their own research.