TitleComputerization and adaptive administration of the NEO PI-R
Publication TypeJournal Article
Year of Publication2000
AuthorsReise, SP, Henson, JM
Publication Languageeng
Accession Number11151961
Keywords*Personality Inventory, Algorithms, California, Diagnosis, Computer-Assisted/*methods, Humans, Models, Psychological, Psychometrics/methods, Reproducibility of Results

This study asks, how well does an item response theory (IRT) based computerized adaptive NEO PI-R work? To explore this question, real-data simulations (N = 1,059) were used to evaluate a maximum information item selection computerized adaptive test (CAT) algorithm. Findings indicated satisfactory recovery of full-scale facet scores with the administration of around four items per facet scale. Thus, the NEO PI-R could be reduced in half with little loss in precision by CAT administration. However, results also indicated that the CAT algorithm was not necessary. We found that for many scales, administering the "best" four items per facet scale would have produced similar results. In the conclusion, we discuss the future of computerized personality assessment and describe the role IRT methods might play in such assessments.