**Analytic Plan** The data for this study was collected as part of a larger study on touch and sexual experiences in romantic relationships. Analyses have previously been conducted with this data, including some analyses involving the variables of interest for the current research (see Day, 2017). The primary goal of this previous research was to examine how often those high in sexual narcissism make upward and downward sexual comparisons in their daily lives, and how upward and downward comparisons encountered in the context of daily life influence how people feel about their own relationships and sex lives. Results of these analyses have not been published in a peer-reviewed journal. In these prior analyses it was found that on the majority (96.3%) of days (4450 days total), participants did not report making any sexual comparisons. However, they did report making sexual comparisons on a total of 173 days (3.7%). The number of social comparisons that people made throughout the diary ranged from zero to 14. Overall, 133 participants (67.9%) reported that they made no sexual comparisons throughout the diary, and 63 participants (32.1%) reported making at least one sexual comparison over the course of the diary. Of the 173 comparisons recorded over the course of the diary, 99 of them (57.2%) were upward in nature, 44 (25.4%) comparisons were lateral, and 30 (17.3%) were downward in nature. Additionally, the average direction of comparison across all diary days was used to predict sexual satisfaction and relationship quality. It was found that participants who reported that the comparisons they made were more downward in nature tended to report higher sexual satisfaction (b = .41, SE = .08, p < .001) and relationship quality (b = .26, SE = .08, p = .001). In addition, a mediation model was run with the prediction that those high in sexual narcissism would make more downward sexual comparisons over the course of the diary, which would predict higher daily sexual and relationship satisfaction. The extent to which participants felt they were doing better than others in the domain of sexuality was associated with greater sexual satisfaction (b = .22, SE = .09, p = .015) and relationship quality on that day (b = .24, SE = .08, p = .003) even when sexual narcissism was controlled for. The current analyses will use multilevel modeling to examine the association between the frequency of social comparisons (upward and downward) and relationship satisfaction, sexual satisfaction, and individual well-being. The data have a nested structure, with individuals nested within couples. First, the average relationship satisfaction, sexual satisfaction, and individual well-being scores across all days will be used to predict (1) the frequency of upward comparisons reported across the diary days, and (2) the frequency of downward comparisons reported across the diary days. We may also run the model with the predictors and outcome reversed, with the frequency of upward and downward comparisons predicting (1) relationship satisfaction, (2) sexual satisfaction, and (3) individual well-being. Finally, we will create dummy coded variables for sexual comparisons, indicating that an upward comparison occurred that day, a downward comparison occurred, or a lateral comparison occurred. The reference category will be days when no comparison was made. Then we will conduct two-level crossed models with random intercepts where persons are nested within dyads, and person and days are crossed to account for the fact that both partners completed the daily surveys on the same days (Kenny, Kashy, & Cook, 2006). In these models, we will estimate the residual matrix by nesting partner*day within couple to control for differences in couple-level satisfaction and well-being with a heterogeneous first-order autoregressive (ARH1) structure. The dummy coded variables for comparisons will then be used to predict daily relationship and sexual satisfaction, accounting for couple-level values of these variables (average for that couple across all days). We will also recreate the results of the previous analyses by predicting the average relationship satisfaction, sexual satisfaction, and individual well-being scores with the average direction of comparison across all days, rather than the frequency of each type of comparison across all days.