Dyadic Data Analysis
The study of dyads has proliferated in recent years, as such analyses allow researchers to examine meaningful groups (romantic couples, families, workplace relationships). Within dyadic designs, the implementation of Actor Partner Interdependence Modelling (APIM) in particular allows researchers to examine the mutual influence of two members of a dyad on themselves and their partner. This workshop will provide:
- An introduction to the basics behind dyadic analyses and APIM in particular.
- Syntax, results, and a graphing example for a cross-sectional APIM in SAS, SPSS, and Mplus.
- Syntax, results, and a graphing example for a longitudinal APIM in SAS, SPSS, and Mplus.
- Resources available online that can help with further applications of APIM models.
Stylianos (Stelios) Syropoulos is a fourth-year Ph.D. student in Social Psychology and the Psychology of Peace and Violence. Stylianos joined the CRF Methodology Team in the fall of 2021. He is proficient with SPSS, Mplus and SAS, and has received training in R. He has received training in and frequently uses ANOVA, Regression, Structural Equation Modelling and Hierarchical Linear Modelling (including Dyadic Data analysis) in his research. His work focuses on the antecedents of peace, intergroup conflict, and national identification.
