Why Might Distance Make the Heart Grow Fonder?: A Relational Turbulence Model Investigation of the Maintenance of Long Distance and Geographically Close Romantic Relationships

2015 ◽  
Vol 63 (5) ◽  
pp. 568-585
Author(s):  
Natalie K. Ellis ◽  
Andrew M. Ledbetter
2020 ◽  
pp. 009365022095822
Author(s):  
Amy L. Delaney

Couples coping with depression are prone to unique and pervasive sexual intimacy challenges and experience troubles communicating effectively. Successful sexual communication improves sexual and relationship satisfaction, making communication particularly important for couples facing sexual difficulties. In this study, the relational turbulence model serves as a framework to examine associations between sexual communication and both sexual and relationship satisfaction in couples ( N = 106) in which one or both partners live with depression. Results of a cross-sectional survey suggest sexual communication mediates relationships between both relational uncertainty and interference from a partner with sexual/relationship satisfaction. Results illuminate functions of communication about sex as couples navigate sexual and relational effects of depression.


2020 ◽  
Vol 46 (2-3) ◽  
pp. 222-249
Author(s):  
Alan K Goodboy ◽  
San Bolkan ◽  
Liesel L Sharabi ◽  
Scott A Myers ◽  
James P Baker

Abstract 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.


2017 ◽  
Vol 31 (5) ◽  
pp. 542-552 ◽  
Author(s):  
Leanne K. Knobloch ◽  
Lynne M. Knobloch-Fedders ◽  
Jeremy B. Yorgason ◽  
Aaron T. Ebata ◽  
Patricia C. McGlaughlin

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