Developing a Multi-Group Moderated Model to Predict and Compare Commitment in Geographically Close and Long-Distance Relationships
Date of Award
Master of Science (MS)
Department of Psychology
Eric D. Wesselmann
Matthew S. Hesson-McInnis
Despite many recommendations to assess the role of the social exchange theory and the interdependence theory in long-distance relationships, few researchers have investigated if the roles of satisfaction, alternatives, and investments in a relationship influence commitment differently for individuals in long-distance relationships compared to individuals in geographically close relationships. I hypothesized that trust, desire for frequent sex, satisfaction, alternatives, and investment in the relationship have unique predictive relationships on commitment depending on relationship proximity and gender. In two studies, I first tested prior research investigating the role of negative affect on relationship commitment. I extended this research and found that a preference for frequent sex and trust for one's partner were substantially better predictors of relationship commitment compared to negative affect and components of relational security. In Study 2, I developed a model to predict commitment using satisfaction, quality of alternatives, relationship investments, preference for frequent sex, and trust. This model was tested between men and women in geographically close and long-distance relationships and revealed significantly different predictive relations between the conditions. Specifically, satisfaction and trust predicted commitment differently between the models for women in both geographically close and long-distance relationships and men in geographically close relationships. Men in long-distance relationships required a separate model where the quality of alternatives did not predict relationship commitment and a preference for frequent sex mediated trust and commitment.
Eichler, Fredrick Andrew, "Developing a Multi-Group Moderated Model to Predict and Compare Commitment in Geographically Close and Long-Distance Relationships" (2014). Theses and Dissertations. 248.
Imported from ProQuest Eichler_ilstu_0092N_10348.pdf