Journal article
Authors list: Leitgoeb, Heinz; Seddig, Daniel; Asparouhov, Tihomir; Behr, Dorothee; Davidov, Eldad; De Roover, Kim; Jak, Suzanne; Meitinger, Katharina; Menold, Natalja; Muthen, Bengt; Rudnev, Maksim; Schmidt, Peter; van de Schoot, Rens
Publication year: 2023
Journal: Social Science Research
Volume number: 110
ISSN: 0049-089X
eISSN: 1096-0317
Open access status: Green
DOI Link: https://doi.org/10.1016/j.ssresearch.2022.102805
Publisher: Elsevier
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 contri-bution of survey methodological research to the construction of invariant measurement in-struments 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.
Citation Styles
Harvard Citation style: Leitgoeb, H., Seddig, D., Asparouhov, T., Behr, D., Davidov, E., De Roover, K., et al. (2023) Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives, Social Science Research, 110, Article 102805. https://doi.org/10.1016/j.ssresearch.2022.102805
APA Citation style: Leitgoeb, H., Seddig, D., Asparouhov, T., Behr, D., Davidov, E., De Roover, K., Jak, S., Meitinger, K., Menold, N., Muthen, B., Rudnev, M., Schmidt, P., & van de Schoot, R. (2023). Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives. Social Science Research. 110, Article 102805. https://doi.org/10.1016/j.ssresearch.2022.102805
Keywords
Comparative research; CONFIRMATORY FACTOR-ANALYSIS; face-to-face; FACTORIAL INVARIANCE; FIT INDEXES; HUMAN-VALUES; Item bias; LATENT-VARIABLES; MEASUREMENT BIAS; MEASUREMENT EQUIVALENCE; MEASUREMENT INVARIANCE; Multiple group confirmatory factor analysis; Noninvariance detection; RESPONSE SHIFT; Scale construction; TESTING MEASUREMENT INVARIANCE
