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

Standard

Improving personality facet scores with multidimensional computer adaptive testing : an illustration with the NEO PI-R. / Makransky, Guido; Mortensen, Erik Lykke; Glas, Cees A W.

In: Preanesthetic Assessment, Vol. 20, No. 1, 02.2013, p. 3-13.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Makransky, G, Mortensen, EL & Glas, CAW 2013, 'Improving personality facet scores with multidimensional computer adaptive testing: an illustration with the NEO PI-R', Preanesthetic Assessment, vol. 20, no. 1, pp. 3-13. https://doi.org/10.1177/1073191112437756

APA

Makransky, G., Mortensen, E. L., & Glas, C. A. W. (2013). Improving personality facet scores with multidimensional computer adaptive testing: an illustration with the NEO PI-R. Preanesthetic Assessment, 20(1), 3-13. https://doi.org/10.1177/1073191112437756

Vancouver

Makransky G, Mortensen EL, Glas CAW. Improving personality facet scores with multidimensional computer adaptive testing: an illustration with the NEO PI-R. Preanesthetic Assessment. 2013 Feb;20(1):3-13. https://doi.org/10.1177/1073191112437756

Author

Makransky, Guido ; Mortensen, Erik Lykke ; Glas, Cees A W. / Improving personality facet scores with multidimensional computer adaptive testing : an illustration with the NEO PI-R. In: Preanesthetic Assessment. 2013 ; Vol. 20, No. 1. pp. 3-13.

Bibtex

@article{a8c9139305264b63bb3f0666951e6bab,
title = "Improving personality facet scores with multidimensional computer adaptive testing: an illustration with the NEO PI-R",
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.",
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",
author = "Guido Makransky and Mortensen, {Erik Lykke} and Glas, {Cees A W}",
year = "2013",
month = feb,
doi = "10.1177/1073191112437756",
language = "English",
volume = "20",
pages = "3--13",
journal = "Preanesthetic Assessment",
issn = "0896-2103",
publisher = "McMahon Group",
number = "1",

}

RIS

TY - JOUR

T1 - Improving personality facet scores with multidimensional computer adaptive testing

T2 - an illustration with the NEO PI-R

AU - Makransky, Guido

AU - Mortensen, Erik Lykke

AU - Glas, Cees A W

PY - 2013/2

Y1 - 2013/2

N2 - 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.

AB - 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.

KW - Adolescent

KW - Adult

KW - Aged

KW - Computer Simulation

KW - Denmark

KW - Diagnosis, Computer-Assisted

KW - Female

KW - Humans

KW - Male

KW - Mathematical Computing

KW - Middle Aged

KW - Models, Statistical

KW - Personality Assessment

KW - Psychometrics

KW - Reference Values

KW - Reproducibility of Results

KW - Research Design

KW - Software

KW - Statistics as Topic

KW - Twins

KW - Young Adult

U2 - 10.1177/1073191112437756

DO - 10.1177/1073191112437756

M3 - Journal article

C2 - 22357698

VL - 20

SP - 3

EP - 13

JO - Preanesthetic Assessment

JF - Preanesthetic Assessment

SN - 0896-2103

IS - 1

ER -

ID: 48866383