The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Multiple-Group Factor Analysis Alignment
Abstract
This article presents a new method for multiple-group confirmatory factor analysis (CFA), referred to as the alignment method. The alignment method can be used to estimate group-specific factor means and variances without requiring exact measurement invariance. A strength of the method is the ability to conveniently estimate models for many groups. The method is a valuable alternative to the currently used multiple-group CFA methods for studying measurement invariance that require multiple manual model adjustments guided by modification indexes. Multiple-group CFA is not practical with many groups due to poor model fit of the scalar model and too many large modification indexes. In contrast, the alignment method is based on the configural model and essentially automates and greatly simplifies measurement invariance analysis. The method also provides a detailed account of parameter invariance for every model parameter in every group.
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When there could be many (sub-)factors in a dimension, prior research suggested relaxing the measurement part of the model using CFA.
“When there could be many (sub-)factors in a dimension, prior research suggested relaxing the measurement part of the model using CFA (Asparouhov & Muthén, 2014;Bandalos & Finney, 2018).”
From Design and validation of the AI literacy questionnaire: The affective, behavioural, cognitive and ethical approach (2024) · cites this paper as Asparouhov & Muthén, 2014
Citations
Cites
Bayesian structural equation modeling: A more flexible representation of substantive theory
Muthén, B., & Asparouhov, T. (2012) · Psychological Methods · doi:10.1037/a0026802 · Cited by 1,562
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Research works printed but not linked: 6
- 10.1080/10705510903008204 · DOI
- Beierlein C., 2012, Survey Research Methods, 6, 25
- 10.1086/518532 · DOI
- 10.1007/978-1-4419-0742-4 · DOI · Paper page
- 10.1007/s11336-003-1136-B · DOI
- Millsap R. E., 2011, Statistical approaches to measurement invariance
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Developing and validating a service robot integration willingness scale
Lu, L., Cai, R., & Gursoy, D. (2019) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2019.01.005 · Cited by 1,013
Swami, V., & Barron, D. (2019) · Body Image · doi:10.1016/j.bodyim.2018.08.014 · Cited by 454
Ng, D. T. K., Wu, W., Leung, J. K. L., Chiu, T. K. F., & Chu, S. K. W. (2024) · British Journal of Educational Technology · doi:10.1111/bjet.13411 · Cited by 390
Sischka, P. E., Costa, A. P., Steffgen, G., & Schmidt, A. F. (2020) · Journal of Affective Disorders Reports · doi:10.1016/j.jadr.2020.100020 · Cited by 245
The development of compulsive internet use and mental health: A four-year study of adolescence
Ciarrochi, J., Parker, P., Sahdra, B., Marshall, S., Jackson, C., Gloster, A. T., & Heaven, P. (2016) · Developmental Psychology · doi:10.1037/dev0000070 · Cited by 160
Jin, R., Wu, R., Xia, Y., & Zhao, M. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1177415 · Cited by 33
The influence of culture on wise reasoning in the context of self-friend conflict and its mechanism
WEI, X., & WANG, F. (2021) · Acta Psychologica Sinica · doi:10.3724/sp.j.1041.2021.01244 · Cited by 11
Malafanti, A., Yotsidi, V., Sideridis, G., Giannouli, E., Galanaki, E. P., & Malogiannis, I. (2024) · Acta Psychologica · doi:10.1016/j.actpsy.2024.104181 · Cited by 9
Metadata
- Authors
- Asparouhov, T., & Muthén, B.
- Affiliations
- Muthén & Muthén (United States) (US)
- Corresponding author
- Muthén, Bengt
- Venue
- Structural Equation Modeling: A Multidisciplinary Journal
- Publisher
- Informa UK Limited
- Published
- 2014-07-16
- Volume
- 21
- Issue
- 4
- Pages
- 495-508
- ISSN
- 1070-5511 (ISSN-L)
- 1532-8007
- OpenAlex
- W2165202100
- Cited by
- 836
- References
- 1
- Citations by year
- 2026: 104 · 2025: 103 · 2024: 79 · 2023: 101 · 2022: 88 · 2021: 101 · 2020: 63 · 2019: 57 · 2018: 42 · 2017: 38 · 2016: 23 · 2015: 25 · 2014: 8
- FWCI
- 36.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Structural Equation Modeling A Multidisciplinary Journal (publishedVersion)
- Funders
- Division of Mathematical Sciences
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Education › Educational Assessment and Pedagogy
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- alignment method, multiple-group confirmatory factor analysis, measurement invariance, parameter invariance, scalar model
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