Multiplicity control in structural equation modeling

dc.contributor.authorCribbie, Robert
dc.date.accessioned2018-06-05T17:39:19Z
dc.date.available2018-06-05T17:39:19Z
dc.date.issued2007
dc.description.abstractResearchers conducting structural equation modeling analyses rarely, if ever, control for the inflated probability of Type I errors when evaluating the statistical significance of multiple parameters in a model. In this study, the Type I error control, power and true model rates of famsilywise and false discovery rate controlling procedures were compared with rates when no multiplicity control was imposed. The results indicate that Type I error rates become severely inflated with no multiplicity control, but also that familywise error controlling procedures were extremely conservative and had very little power for detecting true relations. False discovery rate controlling procedures provided a compromise between no multiplicity control and strict familywise error control and with large sample sizes provided a high probability of making correct inferences regarding all the parameters in the model.en_US
dc.description.sponsorshipSocial Sciences and Humanities Research Council
dc.identifier.citationCribbie, R. A. (2007). Multiplicity control in structural equation modeling. Structural Equation Modeling: An Interdisciplinary Journal, 14, 98-112. doi: 10.1080/10705510709336738
dc.identifier.urihttp://dx.doi.org/10.1080/10705510709336738en_US
dc.identifier.urihttp://hdl.handle.net/10315/34624
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.rights.articlehttps://www.tandfonline.com/doi/abs/10.1080/10705510709336738
dc.subjectstructural equation modelingen_US
dc.subjecttype I erroren_US
dc.subjectfalse discovery rateen_US
dc.titleMultiplicity control in structural equation modeling
dc.typeArticleen_US

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