Improving personality facet scores with multidimensional computer adaptive testing: an illustration with the NEO PI-R
Research output: Contribution to journal › Journal article › Research › peer-review
Narrowly defined personality facet scores are commonly reported and used for making decisions in clinical and organizational settings. Although these facets are typically related, scoring is usually carried out for a single facet at a time. This method can be ineffective and time consuming when personality tests contain many highly correlated facets. This article investigates the possibility of increasing the precision of the NEO PI-R facet scores by scoring items with multidimensional item response theory and by efficiently administering and scoring items with multidimensional computer adaptive testing (MCAT). The increase in the precision of personality facet scores is obtained from exploiting the correlations between the facets. Results indicate that the NEO PI-R could be substantially shorter without attenuating precision when the MCAT methodology is used. Furthermore, the study shows that the MCAT methodology is particularly appropriate for constructs that have many highly correlated facets.
|Number of pages
|Published - Feb 2013
- Adolescent, Adult, Aged, Computer Simulation, Denmark, Diagnosis, Computer-Assisted, Female, Humans, Male, Mathematical Computing, Middle Aged, Models, Statistical, Personality Assessment, Psychometrics, Reference Values, Reproducibility of Results, Research Design, Software, Statistics as Topic, Twins, Young Adult