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Article: Testing measurement invariance of second-order factor models
Title | Testing measurement invariance of second-order factor models |
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Authors | |
Issue Date | 2005 |
Citation | Structural Equation Modeling, 2005, v. 12, n. 3, p. 471-492 How to Cite? |
Abstract | We illustrate testing measurement invariance in a second-order factor model using a quality of life dataset (n = 924). Measurement invariance was tested across 2 groups at a set of hierarchically structured levels: (a) configural invariance, (b) first-order factor loadings, (c) second-order factor loadings, (d) intercepts of measured variables, (e) intercepts of first-order factors, (f) disturbances of first-order factors, and (g) residual variances of observed variables. Given that measurement invariance at the factor loading and intercept levels was achieved, the latent factor mean difference on the higher order factor between the groups was also estimated. The analyses were performed on the mean and covariance structures within the framework of the confirmatory factor analysis using the LISREL 8.51 program. Implications of second-order factor models and measurement invariance in psychological research were discussed. Copyright © 2005, Lawrence Erlbaum Associates, Inc. |
Persistent Identifier | http://hdl.handle.net/10722/202204 |
ISSN | 2023 Impact Factor: 2.5 2023 SCImago Journal Rankings: 3.647 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Chen, Fangfang | - |
dc.contributor.author | Sousa, Karen H. | - |
dc.contributor.author | West, Stephen G. | - |
dc.date.accessioned | 2014-08-22T02:57:48Z | - |
dc.date.available | 2014-08-22T02:57:48Z | - |
dc.date.issued | 2005 | - |
dc.identifier.citation | Structural Equation Modeling, 2005, v. 12, n. 3, p. 471-492 | - |
dc.identifier.issn | 1070-5511 | - |
dc.identifier.uri | http://hdl.handle.net/10722/202204 | - |
dc.description.abstract | We illustrate testing measurement invariance in a second-order factor model using a quality of life dataset (n = 924). Measurement invariance was tested across 2 groups at a set of hierarchically structured levels: (a) configural invariance, (b) first-order factor loadings, (c) second-order factor loadings, (d) intercepts of measured variables, (e) intercepts of first-order factors, (f) disturbances of first-order factors, and (g) residual variances of observed variables. Given that measurement invariance at the factor loading and intercept levels was achieved, the latent factor mean difference on the higher order factor between the groups was also estimated. The analyses were performed on the mean and covariance structures within the framework of the confirmatory factor analysis using the LISREL 8.51 program. Implications of second-order factor models and measurement invariance in psychological research were discussed. Copyright © 2005, Lawrence Erlbaum Associates, Inc. | - |
dc.language | eng | - |
dc.relation.ispartof | Structural Equation Modeling | - |
dc.title | Testing measurement invariance of second-order factor models | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1207/s15328007sem1203_7 | - |
dc.identifier.scopus | eid_2-s2.0-24944491841 | - |
dc.identifier.volume | 12 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | 471 | - |
dc.identifier.epage | 492 | - |
dc.identifier.isi | WOS:000230289700007 | - |
dc.identifier.issnl | 1070-5511 | - |