DIGITAL TRANSFORMATION IN PSYCHOMETRIC ASSESSMENT: OPPORTUNITIES AND CHALLENGES

Abstract

The digital transformation of psychometric assessment represents a paradigm shift in psychological measurement, offering unprecedented opportunities while presenting significant methodological and ethical challenges. This comprehensive review examines the evolution of digital psychometric tools, including computerized adaptive testing (CAT), artificial intelligence (AI)-driven assessments, mobile applications, and remote proctoring technologies. Drawing from recent empirical literature, including large-scale validation studies with sample sizes exceeding 7,000 participants, we analyze key advantages such as enhanced accessibility (70% preference for mobile assessment), improved efficiency (50-75% cost reduction), real-time data analytics, and personalized assessment experiences. Through systematic empirical analysis, we present original findings on digital assessment reliability (Cronbach's α = 0.803-0.894), validity (r = 0.60-0.89), and test-retest coefficients (ICC = 0.928-0.979). Concurrently, we critically evaluate challenges including data security concerns (45% breach rate), validity threats (30% reliability issues), digital divide problems, and ethical implications. This paper provides evidence-based recommendations for practitioners, researchers, and policymakers, emphasizing the need for continued validation research and ethical guidelines while maintaining fundamental psychometric principles of validity, reliability, and fairness.