Publication

Measuring Patient-Reported Outcomes Adaptively: Multidimensionality Matters!

Paap, M. C. S., Kroeze, K. A., Glas, C. A. W., Terwee, C. B., van der Palen, J. & Veldkamp, B. P., Jul-2018, In : Applied Psychological Measurement. 42, 5, 16 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Paap, M. C. S., Kroeze, K. A., Glas, C. A. W., Terwee, C. B., van der Palen, J., & Veldkamp, B. P. (2018). Measuring Patient-Reported Outcomes Adaptively: Multidimensionality Matters! Applied Psychological Measurement, 42(5). https://doi.org/10.1177/0146621617733954

Author

Paap, Muirne C. S. ; Kroeze, Karel A ; Glas, Cees A. W. ; Terwee, Caroline B. ; van der Palen, Job ; Veldkamp, Bernard P. / Measuring Patient-Reported Outcomes Adaptively: Multidimensionality Matters!. In: Applied Psychological Measurement. 2018 ; Vol. 42, No. 5.

Harvard

Paap, MCS, Kroeze, KA, Glas, CAW, Terwee, CB, van der Palen, J & Veldkamp, BP 2018, 'Measuring Patient-Reported Outcomes Adaptively: Multidimensionality Matters!', Applied Psychological Measurement, vol. 42, no. 5. https://doi.org/10.1177/0146621617733954

Standard

Measuring Patient-Reported Outcomes Adaptively: Multidimensionality Matters! / Paap, Muirne C. S.; Kroeze, Karel A; Glas, Cees A. W.; Terwee, Caroline B.; van der Palen, Job; Veldkamp, Bernard P.

In: Applied Psychological Measurement, Vol. 42, No. 5, 07.2018.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Paap MCS, Kroeze KA, Glas CAW, Terwee CB, van der Palen J, Veldkamp BP. Measuring Patient-Reported Outcomes Adaptively: Multidimensionality Matters! Applied Psychological Measurement. 2018 Jul;42(5). https://doi.org/10.1177/0146621617733954


BibTeX

@article{9ed04075ce784a1697be226362b1517f,
title = "Measuring Patient-Reported Outcomes Adaptively: Multidimensionality Matters!",
abstract = "As there is currently a marked increase in the use of both unidimensional (UCAT) and multidi-mensional computerized adaptive testing (MCAT) in psychological and health measurement, the main aim of the present study is to assess the incremental value of using MCAT rather than separate UCATs for each dimension. Simulations are based on empirical data that could be considered typical for health measurement: a large number of dimensions (4), strong correlations among dimensions (.77-.87), and polytomously scored response data. Both variable- (SE < .316, SE < .387) and fixed-length conditions (total test length of 12, 20, or 32 items) are studied. The item parameters and variance-covariance matrix Phi are estimated with the multidimensional graded response model (GRM). Outcome variables include computerized adaptive test (CAT) length, root mean square error (RMSE), and bias. Both simulated and empirical latent trait distributions are used to sample vectors of true scores. MCATs were generally more efficient (in terms of test length) and more accurate (in terms of RMSE) than their UCAT counterparts. Absolute average bias was highest for variable-length UCATs with termination rule SE < .387. Test length of variable-length MCATs was on average 20{\%} to 25{\%} shorter than test length across separate UCATs. This study showed that there are clear advantages of using MCAT rather than UCAT in a setting typical for health measurement.",
keywords = "multidimensional computerized adaptive testing, computerized adaptive testing, graded responses model, Item Response Theory (IRT), MCAT, M-CAT, UCAT, MIRT, QUALITY-OF-LIFE, RHEUMATOID-ARTHRITIS, STOPPING RULES, EFFICIENCY, FATIGUE",
author = "Paap, {Muirne C. S.} and Kroeze, {Karel A} and Glas, {Cees A. W.} and Terwee, {Caroline B.} and {van der Palen}, Job and Veldkamp, {Bernard P.}",
year = "2018",
month = "7",
doi = "10.1177/0146621617733954",
language = "English",
volume = "42",
journal = "Applied Psychological Measurement",
issn = "0146-6216",
publisher = "SAGE Publications Inc.",
number = "5",

}

RIS

TY - JOUR

T1 - Measuring Patient-Reported Outcomes Adaptively: Multidimensionality Matters!

AU - Paap, Muirne C. S.

AU - Kroeze, Karel A

AU - Glas, Cees A. W.

AU - Terwee, Caroline B.

AU - van der Palen, Job

AU - Veldkamp, Bernard P.

PY - 2018/7

Y1 - 2018/7

N2 - As there is currently a marked increase in the use of both unidimensional (UCAT) and multidi-mensional computerized adaptive testing (MCAT) in psychological and health measurement, the main aim of the present study is to assess the incremental value of using MCAT rather than separate UCATs for each dimension. Simulations are based on empirical data that could be considered typical for health measurement: a large number of dimensions (4), strong correlations among dimensions (.77-.87), and polytomously scored response data. Both variable- (SE < .316, SE < .387) and fixed-length conditions (total test length of 12, 20, or 32 items) are studied. The item parameters and variance-covariance matrix Phi are estimated with the multidimensional graded response model (GRM). Outcome variables include computerized adaptive test (CAT) length, root mean square error (RMSE), and bias. Both simulated and empirical latent trait distributions are used to sample vectors of true scores. MCATs were generally more efficient (in terms of test length) and more accurate (in terms of RMSE) than their UCAT counterparts. Absolute average bias was highest for variable-length UCATs with termination rule SE < .387. Test length of variable-length MCATs was on average 20% to 25% shorter than test length across separate UCATs. This study showed that there are clear advantages of using MCAT rather than UCAT in a setting typical for health measurement.

AB - As there is currently a marked increase in the use of both unidimensional (UCAT) and multidi-mensional computerized adaptive testing (MCAT) in psychological and health measurement, the main aim of the present study is to assess the incremental value of using MCAT rather than separate UCATs for each dimension. Simulations are based on empirical data that could be considered typical for health measurement: a large number of dimensions (4), strong correlations among dimensions (.77-.87), and polytomously scored response data. Both variable- (SE < .316, SE < .387) and fixed-length conditions (total test length of 12, 20, or 32 items) are studied. The item parameters and variance-covariance matrix Phi are estimated with the multidimensional graded response model (GRM). Outcome variables include computerized adaptive test (CAT) length, root mean square error (RMSE), and bias. Both simulated and empirical latent trait distributions are used to sample vectors of true scores. MCATs were generally more efficient (in terms of test length) and more accurate (in terms of RMSE) than their UCAT counterparts. Absolute average bias was highest for variable-length UCATs with termination rule SE < .387. Test length of variable-length MCATs was on average 20% to 25% shorter than test length across separate UCATs. This study showed that there are clear advantages of using MCAT rather than UCAT in a setting typical for health measurement.

KW - multidimensional computerized adaptive testing

KW - computerized adaptive testing

KW - graded responses model

KW - Item Response Theory (IRT)

KW - MCAT

KW - M-CAT

KW - UCAT

KW - MIRT

KW - QUALITY-OF-LIFE

KW - RHEUMATOID-ARTHRITIS

KW - STOPPING RULES

KW - EFFICIENCY

KW - FATIGUE

U2 - 10.1177/0146621617733954

DO - 10.1177/0146621617733954

M3 - Article

VL - 42

JO - Applied Psychological Measurement

JF - Applied Psychological Measurement

SN - 0146-6216

IS - 5

ER -

ID: 49429900