Evaluating the importance of individual parameters in structural equation modeling: The need for Type I error control

dc.contributor.authorCribbie, Robert
dc.date.accessioned2018-06-04T16:13:04Z
dc.date.available2018-06-04T16:13:04Z
dc.date.issued2000
dc.description.abstractThe use of structural equation modeling in personality research has been increasing steadily over the past few decades. In evaluating the adequacy of a particular model researchers are often interested in evaluating not only the overall fit of the model, but also which of the proposed parameters are significant. Researchers who apply unrestricted post hoc model modifications, or who evaluate the significance of individual parameters without adopting some form of type I error control, risk capitalizing on chance. A Monte Carlo study was used to demonstrate the e ffectiveness of simple Bonferroni-type procedures for controlling the rate of type I errors when multiple parameters are evaluated in the structural portion of a theoretical model. 7 2000 Elsevier Science Ltd. All rights reserved.en_US
dc.description.sponsorshipSocial Sciences and Humanities Research Council
dc.identifier.citationCribbie, R. A. (2000). Evaluating the importance of individual parameters in structural equation modeling: The need for Type I error control. Personality and Individual Differences, 29(3), 567-577. doi: 10.1016/S0191-8869(99)00219-6
dc.identifier.urihttps://doi.org/10.1016/S0191-8869(99)00219-6en_US
dc.identifier.urihttp://hdl.handle.net/10315/34609
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights.articlehttps://www.sciencedirect.com/science/article/pii/S0191886999002196
dc.subjectstructural equation modelingen_US
dc.subjecttype I erroren_US
dc.subjectmultiplicityen_US
dc.titleEvaluating the importance of individual parameters in structural equation modeling: The need for Type I error control
dc.typeArticleen_US

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