The Relational Turbulence Model: A Meta-Analytic Review
Dados Bibliográficos
| AUTOR(ES) | |
|---|---|
| AFILIAÇÃO(ÕES) | Communication Studies, West Virginia University, Morgantown, WV 26506, USA, Communication Studies, California State University Long Beach, CA 90840, USA, Communication Studies, Bakersfield College, Bakersfield, CA 93305, USA |
| ANO | 2020 |
| TIPO | Artigo |
| PERIÓDICO | Human Communication Research |
| ISSN | 0360-3989 |
| E-ISSN | 1468-2958 |
| EDITORA | Sage Publications (United States) |
| DOI | 10.1093/hcr/hqaa002 |
| CITAÇÕES | 4 |
| ADICIONADO EM | 2025-08-18 |
Resumo
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.