The Influence of Model Components and Misspecification Type on the Performance of the Comparative Fit Index (CFI) and the Root Mean Square Error of Approximation (RMSEA) in Structural Equation Modeling

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atmire.migration.oldid4825
dc.contributor.advisorChen, Gemai
dc.contributor.advisorShen, Hua
dc.contributor.authorMahler, Claudia
dc.contributor.committeememberSun, Bingrui (Cindy)
dc.contributor.committeememberYan, Ying
dc.date.accessioned2016-08-31T15:29:40Z
dc.date.available2016-08-31T15:29:40Z
dc.date.issued2016
dc.date.submitted2016en
dc.description.abstractThis thesis examined the performance of two popular fit indices used in structural equation modeling: the comparative fit index (CFI) and the root mean square error of approximation (RMSEA). Of interest were the indices’ sensitivities to different sources of misspecification as well as sensitivities to model components that may affect index behavior over and above misspecification. Index performances were evaluated in confirmatory factor analysis models involving one of three sources of misspecification: omitted error covariances, omitted cross-loadings, or an incorrectly modeled latent structure. In addition, model components—including model complexity, loading size, factor correlation size, and model balance—were manipulated to determine their effects on index behavior. It was revealed that CFI is more sensitive to latent misspecifications, while RMSEA is more sensitive to misspecifications due to omitted error covariances. Both indices are affected to some extent by model components, particularly model complexity and loading size.en_US
dc.identifier.citationMahler, C. (2016). The Influence of Model Components and Misspecification Type on the Performance of the Comparative Fit Index (CFI) and the Root Mean Square Error of Approximation (RMSEA) in Structural Equation Modeling (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/28214en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/28214
dc.identifier.urihttp://hdl.handle.net/11023/3240
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectStatistics
dc.subject.classificationStatisticsen_US
dc.subject.classificationstructural equation modelingen_US
dc.titleThe Influence of Model Components and Misspecification Type on the Performance of the Comparative Fit Index (CFI) and the Root Mean Square Error of Approximation (RMSEA) in Structural Equation Modeling
dc.typemaster thesis
thesis.degree.disciplineMathematics and Statistics
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
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