Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives
- PMID: 36796989
- DOI: 10.1016/j.ssresearch.2022.102805
Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives
Abstract
This review summarizes the current state of the art of statistical and (survey) methodological research on measurement (non)invariance, which is considered a core challenge for the comparative social sciences. After outlining the historical roots, conceptual details, and standard procedures for measurement invariance testing, the paper focuses in particular on the statistical developments that have been achieved in the last 10 years. These include Bayesian approximate measurement invariance, the alignment method, measurement invariance testing within the multilevel modeling framework, mixture multigroup factor analysis, the measurement invariance explorer, and the response shift-true change decomposition approach. Furthermore, the contribution of survey methodological research to the construction of invariant measurement instruments is explicitly addressed and highlighted, including the issues of design decisions, pretesting, scale adoption, and translation. The paper ends with an outlook on future research perspectives.
Keywords: Comparative research; Item bias; Measurement invariance; Multiple group confirmatory factor analysis; Noninvariance detection; Scale construction.
Copyright © 2022 Elsevier Inc. All rights reserved.
Similar articles
-
Bayesian Multilevel MIMIC Modeling for Studying Measurement Invariance in Cross-group Comparisons.Med Care. 2017 Apr;55(4):e25-e35. doi: 10.1097/MLR.0000000000000164. Med Care. 2017. PMID: 25170773
-
Comparing results of an exact vs. an approximate (Bayesian) measurement invariance test: a cross-country illustration with a scale to measure 19 human values.Front Psychol. 2014 Sep 8;5:982. doi: 10.3389/fpsyg.2014.00982. eCollection 2014. Front Psychol. 2014. PMID: 25249996 Free PMC article.
-
The maximum likelihood alignment approach to testing for approximate measurement invariance: A paradigmatic cross-cultural application.Psicothema. 2017 Nov;29(4):539-551. doi: 10.7334/psicothema2017.178. Psicothema. 2017. PMID: 29048316
-
Methodological and statistical advances in the consideration of cultural diversity in assessment: A critical review of group classification and measurement invariance testing.Psychol Assess. 2019 Dec;31(12):1481-1496. doi: 10.1037/pas0000731. Psychol Assess. 2019. PMID: 31763873 Review.
-
An essay on measurement and factorial invariance.Med Care. 2006 Nov;44(11 Suppl 3):S69-77. doi: 10.1097/01.mlr.0000245438.73837.89. Med Care. 2006. PMID: 17060838 Review.
Cited by
-
Development and validation of the Environmental Confinement Stressors Scale (ECSS-20).Front Psychol. 2024 Jul 15;15:1386235. doi: 10.3389/fpsyg.2024.1386235. eCollection 2024. Front Psychol. 2024. PMID: 39077211 Free PMC article.
-
Protocol for a systematic review evaluating psychometric properties and gender-related measurement (non)invariance of self-report assessment tools for autism in adults.Syst Rev. 2024 Jul 19;13(1):188. doi: 10.1186/s13643-024-02604-2. Syst Rev. 2024. PMID: 39030636 Free PMC article.
-
Measurement invariance of Attention Deficit/Hyperactivity Disorder symptom criteria as rated by parents and teachers in children and adolescents: A systematic review.PLoS One. 2024 Feb 23;19(2):e0293677. doi: 10.1371/journal.pone.0293677. eCollection 2024. PLoS One. 2024. PMID: 38394179 Free PMC article.
-
Integration of migrant and refugee data in health information systems in Europe: advancing evidence, policy and practice.Lancet Reg Health Eur. 2023 Oct 27;34:100744. doi: 10.1016/j.lanepe.2023.100744. eCollection 2023 Nov. Lancet Reg Health Eur. 2023. PMID: 37927430 Free PMC article. Review.
-
WISC-V Measurement Invariance According to Sex and Age: Advancing the Understanding of Intergroup Differences in Cognitive Performance.J Intell. 2023 Sep 6;11(9):180. doi: 10.3390/jintelligence11090180. J Intell. 2023. PMID: 37754908 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources