Researchers, students, and organizations may be interested in free access to an Artificial Intelligence (AI) tool for measuring human traits. The research supporting the tool was just published in the Journal of Applied Psychology:
Campion, E. D., & Campion, M. A. (2026). Natural language processing word dictionaries for personnel selection: Achieving explainable, generalizable, and incremental prediction with low impact when passively scoring narrative application information. Journal of Applied Psychology. Advance online publication. https://dx.doi.org/10.1037/apl0001438
The company that helped support this research provides free access to its assessment platform for academic research, education, and pilot testing. See details for terms and eligibility (https://research.talentselect.ai).
The tool scores 8 competency, 6 personality, and 3 motivational traits in candidate text, such as applications and interviews, using natural language processing dictionaries. Validation research predicted selection ratings and decisions and post-selection performance in 12 samples from 6 studies (total N = 67,652), including employment and school settings, experimental and operational contexts, concurrent and predictive designs, and a wide range of occupations. Results showed consistent prediction with uncorrected correlation grand averages in the low .20s for selection ratings and nearer .10 for performance criteria, incremental prediction beyond traditional assessments (mental ability and personality tests), and small gender and racioethnic subgroup differences.  Beyond providing another valid selection procedure, the method shows promise for measuring constructs like personality and motivation without the weaknesses of self-scoring, addressing the validity-adverse impact diversity trade-off, developing AI tools that can be explained and content validated, and passively scoring to gain additional candidate information without more candidate effort.
Post Type
Calls & Announcements
