Psychometrics of the Personality Inventory for DSM-5 to Measure the ICD-11 Trait Model: A Meta-Analysis

Seven independent meta-analyses were used to evaluate pooled estimates for i) the five-factor model fit indices, ii) factor loadings for the five-factor structure, iii) alpha coefficients, iv) factor intercorrelations (discriminate validity), v) correlations between the domain scales and categorical personality disorders (convergent validity), vi) mean differences between patient and non-patient sample (criterion validity), and vii) the Area under the ROC Curve (AUC) sensitive to diagnose the clinical from non-clinical population. The raw data extracted from individual studies are as follows:

SM1: Model fit indices for the five-factor structure of the ICD-11 trait model measured by the PID-5.
SM2: Factor loadings for the PID-5 facets on the ICD-11 trait model.
SM3: Alpha coefficients for the PID-5 facets and domains to measure the ICD-11 trait model.
SM4: Bivariate correlations between the ICD-11 trait domains measured by the PID-5.
SM5: Bivariate correlations between the PID-5 domains and categorical personality disorders.
SM6: Descriptive data for the PID-5 domains to measure the ICD-11 trait model in clinical and non-clinical samples.
SM7: AUCs for the PID-5 domains in differentiating clinical from non-clinical samples.