A method for the analysis of data about dyadic relationships.

ABSTRACT: Psychological research in many subfields focuses on dyads and dyadic relationships because they influence individual cognitions, emotions, and behavior. However, the measurement of relationship characteristics has been elusive. Although direct observational methods have been hailed as the gold standard, they have some disadvantages, such as their high cost and external validity. We propose a factor-analytic method, specifically the bifactor model, using self-report data from each individual of a dyad. This method has been applied to many contexts but not yet to dyadic data. We show that the information that can be gleaned from these data is relatively low-cost but rich in terms of the insight it yields about the nature of the dyadic relationship. We demonstrate two different applications o

SUBMITTER: Baydar N 

PROVIDER: S-EPMC11609476 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature