Context-Driven Variability in Personality and Interpersonal Behavior: Evidence-Based Assessment Strategies.

How can assessors capture context-driven variability in personality and interpersonal behavior in ways that are both empirically sound and clinically useful? Scott et al. (2021) offer one potential solution as they discuss the Relational Self-Schema Measure, designed to assess variations in the self-schema across different relationship domains (e.g., self-with-parents, self-with-friends). This Comment outlines an evidence-based framework for assessing variability in personality and interpersonal behavior, describing three strategies that may be used by practitioners in the clinic and beyond. These are: 1) complementing decontextualized personality test results with domain-specific self-report and performance-based test data; 2) employing ambulatory assessment techniques to capture contextual variations in responding in vivo; and 3) using nomothetic test results as a springboard for patient narrative, with patient and therapist working together to explore relationship-specific variations in personality and interpersonal behavior.