Implicitify AI is built on decades of peer-reviewed psychological research. Every assessment uses validated instruments with established psychometric properties, published scoring algorithms, and transparent norm-referenced interpretation.
Methodology
Our deterministic scoring engine applies published algorithms exactly as specified in each measure's technical manual — no machine-learning estimation. Results include reliability coefficients, standard errors, and normative comparisons where available.
Instruments
The platform includes validated measures across personality (Big Five, ECR-SF, DSQ-40, IPC-32), cognitive tasks (Stroop, Lexical Decision, Digit Span), clinical screening (GAD-7, PDSS-SR, ASI-3), and projective methods (TAT narrative analysis).
Scientific Leadership
Created by Daniel J. Winarick, Ph.D., a licensed clinical psychologist with expertise in personality assessment, implicit cognition, and psychometric research. Dr. Winarick holds academic appointments at Queens College – CUNY and Icahn School of Medicine at Mount Sinai.