- Authors:
-
-
Makransky, Guido
;
Close
0000-0003-1862-7824
Institut for Psykologi, Department of Psychology, Faculty of Social Sciences, Københavns Universitet -
Mortensen, Erik Lykke
;
Close0000-0002-6985-451X
Section of Occupational and Environmental Health, Department of Public Health, Faculty of Health and Medical Sciences, Københavns Universitet - Glas, Cees A W
-
Makransky, Guido
;
- Subtitle:
- an illustration with the NEO PI-R
- DOI:
- 10.1177/1073191112437756
- Abstract:
- 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.
- Type:
- Journal article
- Language:
- English
- Published in:
- Preanesthetic Assessment, 2013, Vol 20, Issue 1, p. 3-13
- Keywords:
- 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
- Main Research Area:
- Medical science
- Publication Status:
- Published
- Review type:
- Peer Review
- Submission year:
- 2013
- Scientific Level:
- Scientific
- ID:
- 235111450
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