Model Structure Versus Raw Scales: Eliminating Measurement Variance Increases Convergent Validity in Dimensional Personality Disorder Assessment

Comparing convergent validity coefficients derived from the model structure versus the raw scores of PID-5 and PiCD domains produced higher convergent validity for personality disorder traits. Findings suggest validity coefficients derived by model structure show a stronger relationship between constructs due to controlling for measurement-related variance.