Carolien Zeetsen

85 CHAPTER Cognitive performance during addiction treatment 5 Second, to explore cognitive performance over the course of treatment, a mixed model ANOVA was used with group (AUD, ARCI and KS) as the between–subject factor and time (T0, T1 and T2) as the within–subject factor. The analysis was run for MoCA–TS, each MoCA–DS and MoCA–MIS, to explore in detail if there are certain domains on which performance changes more than others over the course of treatment. Third, to explore everyday cognitive functioning over the course of treatment, a mixed– model ANOVA was used with group (AUD, ARCI and KS) as the between–subject factor and time (T1 and T2) as the within–subject factor, ran separately for the patient and clinician ratings. The analyses were run for PCRS–TS and each PCRS–DS, to explore in detail if there are certain domains on which everyday cognitive functioning changes more than others over the course of treatment. Finally, to explore if changes in cognitive performance were related to changes in everyday cognitive functioning, change scores were calculated between T1 and T2 for all scores (MoCA–TS, all MoCA–DS, MoCA–MIS, PCRS–TS, and all PCRS–DS; patient and clinician ratings). Pearson correlations were calculated between the MoCA change scores and the PCRS change scores. Alpha was set at 0.05 for all main analyses, but to adjust for the Type 1 error rate, Bonferroni corrected, Hochberg’s GT2 (unequal sample sizes) or Games–Howell (non–homogeneous population variances) post–hoc tests were used when appropriate. Also, the effect sizes ( η 2 ) were calculated and reported based on Lakens (2013). All analyses were performed using IBM SPSS version 25.0.