Measurement invariance and adapted preferences: evidence for the ICECAP-A and WeRFree instruments.
Adapted preferences
Capability approach
Health economics
Instrument development
Measurement invariance
Patient-reported outcomes
Validity
Journal
Health and quality of life outcomes
ISSN: 1477-7525
Titre abrégé: Health Qual Life Outcomes
Pays: England
ID NLM: 101153626
Informations de publication
Date de publication:
10 Nov 2023
10 Nov 2023
Historique:
received:
03
02
2023
accepted:
03
11
2023
medline:
13
11
2023
pubmed:
11
11
2023
entrez:
11
11
2023
Statut:
epublish
Résumé
Self-report instruments are used to evaluate the effect of interventions. However, individuals adapt to adversity. This could result in individuals reporting higher levels of well-being than one would expect. It is possible to test for the influence of adapted preferences on instrument responses using measurement invariance testing. This study conducts such a test with the Wellbeing Related option-Freedom (WeRFree) and ICECAP-A instruments. A multi-group confirmatory factor analysis was conducted to iteratively test four increasingly stringent types of measurement invariance: (1) configural invariance, (2) metric invariance, (3) scalar invariance, and (4) residual invariance. Data from the Multi Instrument Comparison study were divided into subsamples that reflect groups of participants that differ by age, gender, education, or health condition. Measurement invariance was assessed with (changes in) the Comparative Fit Index (CFI), Root Mean Square Error of Approximation (RMSEA), and Root Mean Square Residual (SRMR) fit indices. For the WeRFree instrument, full measurement invariance could be established in the gender and education subsamples. Scalar invariance, but not residual invariance, was established in the health condition and age group subsamples. For the ICECAP-A, full measurement invariance could be established in the gender, education, and age group subsamples. Scalar invariance could be established in the health group subsample. This study tests the measurement invariance properties of the WeRFree and ICECAP-A instruments. The results indicate that these instruments were scalar invariant in all subsamples, which means that group means can be compared across different subpopulations. We suggest that measurement invariance of capability instruments should routinely be tested with a reference group that does not experience a disadvantage to study whether responses could be affected by adapted preferences.
Sections du résumé
BACKGROUND
BACKGROUND
Self-report instruments are used to evaluate the effect of interventions. However, individuals adapt to adversity. This could result in individuals reporting higher levels of well-being than one would expect. It is possible to test for the influence of adapted preferences on instrument responses using measurement invariance testing. This study conducts such a test with the Wellbeing Related option-Freedom (WeRFree) and ICECAP-A instruments.
METHODS
METHODS
A multi-group confirmatory factor analysis was conducted to iteratively test four increasingly stringent types of measurement invariance: (1) configural invariance, (2) metric invariance, (3) scalar invariance, and (4) residual invariance. Data from the Multi Instrument Comparison study were divided into subsamples that reflect groups of participants that differ by age, gender, education, or health condition. Measurement invariance was assessed with (changes in) the Comparative Fit Index (CFI), Root Mean Square Error of Approximation (RMSEA), and Root Mean Square Residual (SRMR) fit indices.
RESULTS
RESULTS
For the WeRFree instrument, full measurement invariance could be established in the gender and education subsamples. Scalar invariance, but not residual invariance, was established in the health condition and age group subsamples. For the ICECAP-A, full measurement invariance could be established in the gender, education, and age group subsamples. Scalar invariance could be established in the health group subsample.
CONCLUSIONS
CONCLUSIONS
This study tests the measurement invariance properties of the WeRFree and ICECAP-A instruments. The results indicate that these instruments were scalar invariant in all subsamples, which means that group means can be compared across different subpopulations. We suggest that measurement invariance of capability instruments should routinely be tested with a reference group that does not experience a disadvantage to study whether responses could be affected by adapted preferences.
Identifiants
pubmed: 37950250
doi: 10.1186/s12955-023-02208-9
pii: 10.1186/s12955-023-02208-9
pmc: PMC10636898
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
121Informations de copyright
© 2023. The Author(s).
Références
Value Health. 2020 Apr;23(4):515-526
pubmed: 32327169
Qual Life Res. 2020 Jun;29(6):1433-1464
pubmed: 31875309
Qual Life Res. 2022 Mar;31(3):889-901
pubmed: 34327634
Qual Life Res. 2012 Dec;21(10):1745-53
pubmed: 22193882
Qual Life Res. 2006 Apr;15(3):331-48
pubmed: 16547771
Soc Indic Res. 2017;133(1):345-371
pubmed: 28769147
Value Health. 2004 Sep-Oct;7 Suppl 1:S4-8
pubmed: 15367236
Dev Rev. 2016 Sep;41:71-90
pubmed: 27942093
J Health Econ. 2000 May;19(3):403-20
pubmed: 10977197
Qual Life Res. 2022 Mar;31(3):903-915
pubmed: 34370186
Health Psychol. 2005 Jul;24(4S):S57-62
pubmed: 16045420
Value Health. 2022 Sep;25(9):1566-1574
pubmed: 35487819
Patient. 2018 Oct;11(5):539-546
pubmed: 29744765
Med Care. 2006 Nov;44(11 Suppl 3):S69-77
pubmed: 17060838
Value Health. 2011 Sep-Oct;14(6):872-83
pubmed: 21914509
Qual Life Res. 2012 Feb;21(1):167-76
pubmed: 21598064
Health Econ. 2015 Mar;24(3):258-69
pubmed: 24254584
Psychol Methods. 2017 Sep;22(3):486-506
pubmed: 27213981
Qual Life Res. 2018 May;27(5):1133-1146
pubmed: 29210014
Value Health. 2016 Dec;19(8):1063-1067
pubmed: 27987634
Soc Sci Med. 2017 Feb;174:96-103
pubmed: 28013110
BMC Public Health. 2021 Feb 15;21(1):353
pubmed: 33588799
Qual Life Res. 2006 Nov;15(9):1533-50
pubmed: 17031503
Front Oncol. 2019 Aug 20;9:783
pubmed: 31482068
Soc Sci Med. 2017 Oct;190:247-255
pubmed: 28881208
Qual Life Res. 2013 Feb;22(1):1-11
pubmed: 22383104
Psychol Methods. 2004 Dec;9(4):466-91
pubmed: 15598100
Soc Sci Med. 2015 Aug;139:71-9
pubmed: 26164118
Psychol Methods. 2012 Sep;17(3):354-73
pubmed: 22799625
Health Econ. 2017 Mar;26(3):387-394
pubmed: 26756822