GLMMs summary of the final models for disbeliefs in social reconstruction with ex-combatants, rape myths acceptance and social acknowledgement as trauma survivor (social outcomes).

GLMMs were used to test the predictors of NETfacts (no direct vs. direct involvement), time (baseline vs. post follow up), trauma (number of traumatic events), and their interaction on sum scores for SoRS, IRMA and SAQ. Marginal and conditional R2 fit, and dispersion test estimates are shown for each outcome. Standardized model estimates, standard errors, standardized confidence intervals, z and p values are shown for the predictor terms. Random terms are represented as variance, standard deviation and sample size. Note that only the count model part of the zero-inflated GLMMs is shown here. Full GLMMs summaries including figures (and post hoc Tukey test for IRMA) are shown in S5–S7 Tables and S1–S3 Figs.