[The structure of interaction in romantic relationships: hierarchical data analysis of inter-subjectivity between partners].

ABSTRACT

A hierarchical data analysis was conducted using data from couples to examine how self-reports of interactions between partners in romantic relationships predict the quality of the relationships. Whereas the social exchange theory has elucidated the quality of relationships from the individual level of subjectivity, this study focused on the structure of interactions between the partners (i.e., the frequency, strength, and diversity) through a process of inter-subjectivity at the couple level. A multilevel covariance structure analysis of 194 university students involved in romantic relationships revealed that the quality of relationships was mainly related to the strength and the diversity of interactions at the couple level, rather than the strength of interactions at the individual level. These results indicate that the inter-subjective process in romantic relationships may primarily explain the quality of relationships.