The Relational Turbulence Model: A Meta-Analytic Review

Autor:	Scott A. Myers, James P. Baker, Liesel L. Sharabi, Alan K. Goodboy, San Bolkan
Rok vydání:	2020
Předmět:	Linguistics and Language 0508 media and communications Turbulence Anthropology Communication 05 social sciences Developmental and Educational Psychology Facilitation 050801 communication & media studies 050109 social psychology 0501 psychology and cognitive sciences Psychology Cognitive psychology
Zdroj:	Human Communication Research. 46:222-249
ISSN:	1468-2958 0360-3989
DOI:	10.1093/hcr/hqaa002
Popis:	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.
Databáze:	OpenAIRE
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