Multiple mediation analyses were conducted first using the total score from the CTQ, and then the scores for each trauma type individually as independent variables. Following methods recommended by Preacher and Hayes, we conducted separate analyses with each abuse/neglect type (e.g., emotional abuse) as the independent variable, and the other four types included as covariates in the model. This method allowed us to estimate the effects of each trauma type independently, in effect controlling for any correlation between scores for each trauma type (Preacher and Hayes, 2008). For the analyses, we used the INDIRECT macro developed for SAS (available at http://www.afhayes.com). This macro uses bootstrapping to estimate indirect or mediated effects, a method that is highly recommended when sample size is not large (e.g., < 400) in order to maintain statistical power without the assumption of multivariate normality (Preacher and Hayes, 2008). In addition, the macro allows for the inclusion of covariates as well as potential mediators in the analysis model. We included the demographic variables of age, gender (0 = male, 1 = female), and race (0 = white/caucasian,
