Hostname: page-component-74656f9884-npj9w Total loading time: 0 Render date: 2026-11-07T15:06:39.397Z Has data issue: false hasContentIssue false

Implicit Theories of Relationships and Conflict Communication Patterns in Romantic Relationships: A Dyadic Perspective

Published online by Cambridge University Press:  17 September 2018

Taylor Dovala*
Affiliation:
Clark University, Worcester, Massachusetts, USA
Matt Hawrilenko
Affiliation:
Clark University, Worcester, Massachusetts, USA
James V. Cordova
Affiliation:
Clark University, Worcester, Massachusetts, USA
*
Author for correspondence: Taylor Dovala, Department of Psychology, Clark University, 950 Main Street, Worcester MA 01610, USA. Email: tdovala@clarku.edu

Abstract

The present study examined the relationship between dyadic interaction patterns and implicit theories of relationships (ITRs; deeply held beliefs about the nature of relationships) using a sample of N = 104 couples. We hypothesised that destiny beliefs would predict greater avoidance in conflict interactions, while growth beliefs would predict more constructive communication. Surprisingly, the results of the current study challenge the existing literature by indicating that neither destiny nor growth beliefs predict constructive communication or mutual avoidance for the couple. Further, while destiny beliefs were related to increased withdrawal in a demand-withdraw pattern, growth beliefs related to both demand and withdraw in a demand-withdraw pattern. These findings suggest that assessing the relationship between ITRs and communication patterns at the couple level introduces complexity that is underexplored in the current literature on implicit theories of relationships.

Information

Type
Research Article
Copyright
Copyright © The Author(s) 2018 
Figure 0

Fig. 1. Model 1: An APIM-CFM hybrid model with standardised estimates representing the influence of individuals’ ITRs on couple-level Constructive Communication. Measurement error terms and correlations between exogenous variables are not shown.

Figure 1

Table 1. Parameter Estimates and Model Fit

Figure 2

Fig. 2. Model 2: An APIM-CFM hybrid model with standardised estimates representing the influence of individuals’ ITRs on couple-level Demand-Withdraw. Measurement error terms and correlations between exogenous variables are not shown.

Note: *p < .05.