Abstract
Using a couple-centered approach, the current study seeks to understand (a) the specific ways in which help-seeking couples vary in how their relationship satisfaction changes over time, (b) whether there are important differences in relationship characteristics at the beginning of the interventions, and (c) whether couples with distinct relationship characteristics benefit equally from effective online relationship programs. Mixed-gender low-income couples (N
= 659) seeking help for their relationship were randomly assigned to one of two online relationship programs (n = 432) or the wait-list control group (n = 227). Latent profile analyses were conducted to identify (a) trajectory profiles with both partners’ relationship satisfaction assessed at baseline, during, and postprogram, and at 2- and 4-month follow-ups; and (b) baseline couple profiles with indicators of baseline communication, commitment, emotional support, and sexual satisfaction reported by both partners. Four unique satisfaction trajectories were identified: women-small–men-medium improvement (39%), men-only decline (25%), large improvement (19%), and women-only improvement (17%). Five unique baseline couple profiles were identified: conflictual passionate (30%), companionate (22%), men-committed languishing (22%), satisfied (16%), and languishing (10%). Compared to control couples, intervention couples’ odds of following the large improvement trajectory increased and their odds of following the men-only decline trajectory decreased; the odds of following the other two intermediate trajectories did not differ by intervention status. Moreover, couples with more distressed baseline profiles were more likely to follow trajectories characterized by greater satisfaction gains regardless of their intervention status. However, program effects did not differ based on baseline couple profiles, suggesting that a universal approach may be sufficient for delivering online relationship programs to improve relationship satisfaction in this population.
