A series of 27 meta-analyses was conducted to synthesize theoretical predictions, to date, of the relational turbulence model (RTM), which has informed relational turbulence theory (RTT). In line with theorized predictions, 12 random-effects meta-analyses (k = 9-15; n = 1,395-5,493) confirmed that RTM variables (i.e., self uncertainty, partner uncertainty, relationship uncertainty, and partner interference), on average, correlated with topic avoidance, depressive symptoms, and relationship satisfaction. An additional 15 random-effects meta-analyses (k = 4-41; n = 930-8,975) were conducted to pool an average correlation matrix among self uncertainty, partner uncertainty, relationship uncertainty, partner interference, partner facilitation, and relational turbulence. This pooled correlation matrix was used to test a meta-analytic structural equation model of the RTM commonly specified in the literature. Global and local fit statistics indicated the meta-analytic data fit the RTM well. Collectively, these results offer empirical and theoretical evidence for the RTM across nearly 2 decades of research and provide insights for future scholarship guided by the axioms and propositions of RTT.
- Meta-Analytic Structural Equation Modeling
- Relational Turbulence Model
- Relational Turbulence Theory
ASJC Scopus subject areas
- Developmental and Educational Psychology
- Linguistics and Language