File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Testing measurement invariance of second-order factor models

TitleTesting measurement invariance of second-order factor models
Authors
Issue Date2005
Citation
Structural Equation Modeling, 2005, v. 12, n. 3, p. 471-492 How to Cite?
AbstractWe 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 Identifierhttp://hdl.handle.net/10722/202204
ISSN
2015 Impact Factor: 3.225
2015 SCImago Journal Rankings: 2.324
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, Fangfang-
dc.contributor.authorSousa, Karen H.-
dc.contributor.authorWest, Stephen G.-
dc.date.accessioned2014-08-22T02:57:48Z-
dc.date.available2014-08-22T02:57:48Z-
dc.date.issued2005-
dc.identifier.citationStructural Equation Modeling, 2005, v. 12, n. 3, p. 471-492-
dc.identifier.issn1070-5511-
dc.identifier.urihttp://hdl.handle.net/10722/202204-
dc.description.abstractWe 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.languageeng-
dc.relation.ispartofStructural Equation Modeling-
dc.titleTesting measurement invariance of second-order factor models-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1207/s15328007sem1203_7-
dc.identifier.scopuseid_2-s2.0-24944491841-
dc.identifier.volume12-
dc.identifier.issue3-
dc.identifier.spage471-
dc.identifier.epage492-
dc.identifier.isiWOS:000230289700007-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats