Data Analysis
ARI, anhedonia
REGRESSION, REMISSION
SPSS statistical software version 26.0 was used for all analyses. Preliminary univariate analyses identified potential demographic or clinical covariates to include in our final models. Our first research question (maltreatment predicts remission status) was tested with a logistic regression model. The dependent variable was week 16 remission status. The predictors included treatment arm (ESC vs. ESC + ARI), and physical, sexual, and emotional maltreatment scores, entered simultaneously. The resulting parameters, thus, provide an estimate of the statistical relation of the specific maltreatment type, over and above the variance accounted for by the other maltreatment types. Receiver Operating Curves (ROCs) were fit to determine which predictors maximized the sensitivity and specificity of prediction. Further, for each type of maltreatment that emerged as a significant predictor of remission, we examined in a follow-up logistic regression model whether treatment arm significantly moderated the relation of maltreatment to week 16 remission status by including the interaction term of treatment arm with the relevant childhood maltreatment variable.Our second hypothesis was tested with a logistic regression model predicting treatment arm (i.e., week 8 response) from physical, sexual, and emotional maltreatment scores, entered simultaneously. Our third hypothesis (maltreatment predicts week 16 remission through maintenance of anhedonia) was tested with mediation models conducted in PROCESS (Model 4).