Psychometric validation of PROM instruments: Article four in a series of ten

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Psychometric validation of PROM instruments : Article four in a series of ten. / Christensen, Karl B.; Comins, Jonathan D.; Krogsgaard, Michael R.; Brodersen, John; Jensen, Jonas; Hansen, Christian Fugl; Kreiner, Svend.

I: Scandinavian Journal of Medicine and Science in Sports, Bind 31, Nr. 6, 2021, s. 1225-1238.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Christensen, KB, Comins, JD, Krogsgaard, MR, Brodersen, J, Jensen, J, Hansen, CF & Kreiner, S 2021, 'Psychometric validation of PROM instruments: Article four in a series of ten', Scandinavian Journal of Medicine and Science in Sports, bind 31, nr. 6, s. 1225-1238. https://doi.org/10.1111/sms.13908

APA

Christensen, K. B., Comins, J. D., Krogsgaard, M. R., Brodersen, J., Jensen, J., Hansen, C. F., & Kreiner, S. (2021). Psychometric validation of PROM instruments: Article four in a series of ten. Scandinavian Journal of Medicine and Science in Sports, 31(6), 1225-1238. https://doi.org/10.1111/sms.13908

Vancouver

Christensen KB, Comins JD, Krogsgaard MR, Brodersen J, Jensen J, Hansen CF o.a. Psychometric validation of PROM instruments: Article four in a series of ten. Scandinavian Journal of Medicine and Science in Sports. 2021;31(6):1225-1238. https://doi.org/10.1111/sms.13908

Author

Christensen, Karl B. ; Comins, Jonathan D. ; Krogsgaard, Michael R. ; Brodersen, John ; Jensen, Jonas ; Hansen, Christian Fugl ; Kreiner, Svend. / Psychometric validation of PROM instruments : Article four in a series of ten. I: Scandinavian Journal of Medicine and Science in Sports. 2021 ; Bind 31, Nr. 6. s. 1225-1238.

Bibtex

@article{f7aa451c09914bacbba1ad5c1ba91b12,
title = "Psychometric validation of PROM instruments: Article four in a series of ten",
abstract = "The aim was to provide an overview of the different statistical methods for validation of patient-reported outcome measures, ranging from simple statistical methods available in all software packages to advanced statistical models that require specialized software. A non-technical summary of classical test theory (CTT) and modern test theory (MTT) is provided. Specifically, confirmatory factor analysis, item response theory, and Rasch analysis is outlined. One CTT and three MTT methods were used to validate the two subscales (Symptoms and Quality of Life) from the Knee Injury and Osteoarthritis Outcome Score (KOOS). For each methodology, two analyses were considered: (i) a unidimensional analysis ignoring the pre-specified dimensionality, and (ii) a two-dimensional analysis using the pre-specified dimensionality. While CTT did not adequately address central issues regarding the validity of the KOOS subscales, the three MTT methods yielded very similar results. In conclusion, MTT methods offer analysis of all relevant properties related to the validity of patient-reported outcome measures, while this is not the case for CTT. Claims about sufficient validity based on CTT methods are inadequate and should not be trusted.",
keywords = "classical test theory, confirmatory factor analyses, construct validity, differential item functioning, modern test theory, patient-reported outcome measures, psychometric validation, Rasch analyses",
author = "Christensen, {Karl B.} and Comins, {Jonathan D.} and Krogsgaard, {Michael R.} and John Brodersen and Jonas Jensen and Hansen, {Christian Fugl} and Svend Kreiner",
year = "2021",
doi = "10.1111/sms.13908",
language = "English",
volume = "31",
pages = "1225--1238",
journal = "Scandinavian Journal of Medicine & Science in Sports",
issn = "0905-7188",
publisher = "Wiley-Blackwell",
number = "6",

}

RIS

TY - JOUR

T1 - Psychometric validation of PROM instruments

T2 - Article four in a series of ten

AU - Christensen, Karl B.

AU - Comins, Jonathan D.

AU - Krogsgaard, Michael R.

AU - Brodersen, John

AU - Jensen, Jonas

AU - Hansen, Christian Fugl

AU - Kreiner, Svend

PY - 2021

Y1 - 2021

N2 - The aim was to provide an overview of the different statistical methods for validation of patient-reported outcome measures, ranging from simple statistical methods available in all software packages to advanced statistical models that require specialized software. A non-technical summary of classical test theory (CTT) and modern test theory (MTT) is provided. Specifically, confirmatory factor analysis, item response theory, and Rasch analysis is outlined. One CTT and three MTT methods were used to validate the two subscales (Symptoms and Quality of Life) from the Knee Injury and Osteoarthritis Outcome Score (KOOS). For each methodology, two analyses were considered: (i) a unidimensional analysis ignoring the pre-specified dimensionality, and (ii) a two-dimensional analysis using the pre-specified dimensionality. While CTT did not adequately address central issues regarding the validity of the KOOS subscales, the three MTT methods yielded very similar results. In conclusion, MTT methods offer analysis of all relevant properties related to the validity of patient-reported outcome measures, while this is not the case for CTT. Claims about sufficient validity based on CTT methods are inadequate and should not be trusted.

AB - The aim was to provide an overview of the different statistical methods for validation of patient-reported outcome measures, ranging from simple statistical methods available in all software packages to advanced statistical models that require specialized software. A non-technical summary of classical test theory (CTT) and modern test theory (MTT) is provided. Specifically, confirmatory factor analysis, item response theory, and Rasch analysis is outlined. One CTT and three MTT methods were used to validate the two subscales (Symptoms and Quality of Life) from the Knee Injury and Osteoarthritis Outcome Score (KOOS). For each methodology, two analyses were considered: (i) a unidimensional analysis ignoring the pre-specified dimensionality, and (ii) a two-dimensional analysis using the pre-specified dimensionality. While CTT did not adequately address central issues regarding the validity of the KOOS subscales, the three MTT methods yielded very similar results. In conclusion, MTT methods offer analysis of all relevant properties related to the validity of patient-reported outcome measures, while this is not the case for CTT. Claims about sufficient validity based on CTT methods are inadequate and should not be trusted.

KW - classical test theory

KW - confirmatory factor analyses

KW - construct validity

KW - differential item functioning

KW - modern test theory

KW - patient-reported outcome measures

KW - psychometric validation

KW - Rasch analyses

U2 - 10.1111/sms.13908

DO - 10.1111/sms.13908

M3 - Journal article

C2 - 33341986

AN - SCOPUS:85099258825

VL - 31

SP - 1225

EP - 1238

JO - Scandinavian Journal of Medicine & Science in Sports

JF - Scandinavian Journal of Medicine & Science in Sports

SN - 0905-7188

IS - 6

ER -

ID: 256570036