Testing structural equation models or detection of misspecifications?
Mostra el registre complet Registre parcial de l'ítem
- 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.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.en
- dc.format.mimetype application/pdf
- 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.doi http://dx.doi.org/10.1080/10705510903203433
- dc.identifier.issn 1070-5511
- dc.identifier.uri http://hdl.handle.net/10230/46205
- 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.rights.accessRights info:eu-repo/semantics/openAccess
- dc.subject.keyword Structural equation models (SEM)en
- dc.subject.keyword Likelihood ratio test (LRT)en
- dc.subject.keyword Chi-square goodness-of-fit testen
- dc.subject.keyword Poweren
- dc.subject.keyword Sensitivity analysisen
- dc.subject.keyword Goodness-of-fit indicesen
- dc.subject.keyword Expected parameter changes (EPC)en
- dc.title Testing structural equation models or detection of misspecifications?en
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/acceptedVersion