Abstract

The study of dyadic coregulation has emerged as a compelling and innovative approach to understanding the links between close relationships and health and functioning. However, the study of dyadic coregulation has been hampered, in part, by the lack of a precise operational definition of the construct and a lack of a framework for systematically evaluating and statistically modeling coregulatory processes. Butler and Randall (2013) present a cogent framework that clearly defines what coregulation is and what it is not, which is critical for advancing this important area of study. Nevertheless, several important questions still remain unaddressed, including the role of individual differences in coregulatory processes; the feasibility of distinguishing between coregulation and related constructs, such as stress-buffering; and potential clinical implications of coregulation