Title

Predicting romantic relationship satisfaction using three self-disclosure variables.

Date of Award

2004

Degree Type

Thesis

Degree Name

M.A.

Department

Psychology

First Advisor

Cramer, K.

Keywords

Psychology, Clinical.

Rights

CC BY-NC-ND 4.0

Abstract

Three self-disclosure variables have been associated with romantic relationship satisfaction: (1) personal self-disclosure, (2) partner self-disclosure, and (3) the difference between the two. This study re-examines the relation between each of these self-disclosure variables and males' and females' romantic relationship satisfaction. This study also provides answers to two novel questions: (1) which self-disclosure variable best predicts males' romantic relationship satisfaction, and (2) which best predicts females' romantic relationship satisfaction. Participants were 124 heterosexual couples who completed the following four measures: the Background Inventory, the Self-Disclosure Index, the Dyadic Satisfaction Subscale, and the Relationship Assessment Scale. Results indicated that only two of the three self-disclosure variables (viz., personal self-disclosure and partner self-disclosure) predicted romantic relationship satisfaction. Although these variables were found to be equally good predictors of females' romantic relationship satisfaction, personal self-disclosure emerged as the best predictor of males' romantic relationship satisfaction. Stepwise multiple regressions supported correlations revealing that, for females, the optimal prediction model involved the interaction between personal and partner self-disclosure, whereas for males, the optimal prediction model involved only personal self-disclosure. A possible reason for this sex difference is discussed.Dept. of Psychology. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2004 .S33. Source: Masters Abstracts International, Volume: 43-01, page: 0325. Adviser: Ken Cramer. Thesis (M.A.)--University of Windsor (Canada), 2004.