Welcome to the UPF Digital Repository

Testing structural equation models or detection of misspecifications?

Show simple item record

dc.contributor.author Saris, Willem E.
dc.contributor.author Satorra, Albert
dc.contributor.author van der Veld, William M.
dc.date.accessioned 2021-01-18T08:55:21Z
dc.date.available 2021-01-18T08:55:21Z
dc.date.issued 2009
dc.identifier.citation Saris WE, Satorra A, Van Der Veld WM. Testing structural equation models or detection of misspecifications? Struct Equ Modeling. 2009 Oct 12;16(4):561-82. DOI: 10.1080/10705510903203433
dc.identifier.issn 1070-5511
dc.identifier.uri http://hdl.handle.net/10230/46205
dc.description.abstract Assessing the correctness of a structural equation model is essential to avoid drawing incorrect conclusions from empirical research. In the past, the chi-square test was recommended for assessing the correctness of the model but this test has been criticized because of its sensitivity to sample size. As a reaction, an abundance of fit indexes have been developed. The result of these developments is that structural equation modeling packages are now producing a large list of fit measures. One would think that this progression has led to a clear understanding of evaluating models with respect to model misspecifications. In this article we question the validity of approaches for model evaluation based on overall goodness-of-fit indexes. The argument against such usage is that they do not provide an adequate indication of the “size” of the model's misspecification. That is, they vary dramatically with the values of incidental parameters that are unrelated with the misspecification in the model. This is illustrated using simple but fundamental models. As an alternative method of model evaluation, we suggest using the expected parameter change in combination with the modification index (MI) and the power of the MI test.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Taylor & Francis
dc.relation.ispartof Structural equation modeling: a multidisciplinary journal. 2009 Oct 12;16(4):561-82
dc.rights © This is an Accepted Manuscript of an article published by Taylor & Francis in Struct Equ Modeling on 2009 Oct 12, available online: http://www.tandfonline.com/10.1080/10705510903203433
dc.title Testing structural equation models or detection of misspecifications?
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1080/10705510903203433
dc.subject.keyword Structural equation models (SEM)
dc.subject.keyword Likelihood ratio test (LRT)
dc.subject.keyword Chi-square goodness-of-fit test
dc.subject.keyword Power
dc.subject.keyword Sensitivity analysis
dc.subject.keyword Goodness-of-fit indices
dc.subject.keyword Expected parameter changes (EPC)
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion

This item appears in the following Collection(s)

Show simple item record

Search DSpace

Advanced Search


My Account


Compliant to Partaking