Psychometric properties of automated video interview competency assessments.

Interviews are one of the most widely used selection methods, but their reliability and validity can vary substantially. Further, using human evaluators to rate an interview can be expensive and time consuming. Interview scoring models have been proposed as a mechanism for reliably, accurately, and efficiently scoring video-based interviews.

New strategies for addressing the diversity-validity dilemma with big data.

The diversity-validity dilemma is one of the enduring challenges in personnel selection. Technological advances and new techniques for analyzing data within the fields of machine learning and industrial organizational psychology, however, are opening up innovative ways of addressing this dilemma. Given these rapid advances, we first present a framework unifying analytical methods commonly used in these two fields to reduce group differences.