Statistical analysis
PTSD, traumatic
EVENT, SECONDARY
Data will be analyzed using SPSS V.29.0 for Windows (SPSS Incorporated). Pretreatment group differences with respect to age, sex, ethnicity, and type of traumatic event will be assessed using independent-sample t-tests for continuous data and χTo answer the primary question, a repeated-measures ANCOVA will be conducted. Baseline scores will be included as covariates, time as a categorical variable, and treatment condition as a fixed effect. The intercept will be treated as a random effect. We will examine the residuals to assess the model assumptions and goodness-of-fit. To evaluate the secondary outcomes, a repeated-measures ANCOVA will be conducted for the total score on the ECR-RC, DERS, RSES, RCADS, CPTCI, CBCL, OBVL, and Y-OQ-30. Baseline scores will be included as covariates, time as a categorical variable, and treatment condition as a fixed effect. The intercept will be treated as a random effect. We examine the residual to assess the model assumptions and goodness-of-fit. Delta-scores for pre- to post-treatment (T1 and T3) will be calculated, and an independent sample t-test will be used to compare the TRAP + EMDR and EMDR-only conditions. For the calculation of effect sizes (Cohen’s To determine PTSD symptom changes on the CRIES-13, we will analyze the data for all time points in a linear mixed model. Time, treatment condition, the interaction term time × treatment condition, and sex will be entered as fixed factors, and age as a covariate in the model. The impact of missing data on outcome measurements will be evaluated using different methods, such as Last Observation Carry Forward (LOCF) and Multiple Imputation (MI).