Analysis of categorical data in presence of latent random effects using Structural Equation Modeling: an application

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dc.contributor.authorKeli, Robert
dc.contributor.authorMwambi, Henry
dc.contributor.authorOkango, Elphas
dc.date.accessioned2021-05-11T11:26:37Z
dc.date.available2021-05-11T11:26:37Z
dc.date.issued2017
dc.descriptionPaper presented at the 4th Strathmore International Mathematics Conference (SIMC 2017), 19 - 23 June 2017, Strathmore University, Nairobi, Kenya.en_US
dc.description.abstractIn most medical research, of interest is to establish the causal relationships that exist between variables which may be direct or indirect. This research intends to use structural equation modeling technique to analyze the effect of categorical latent variable(s) when assumed to follow a normal random effect model. The statistical inference is carried out under the Mplus statistical software and the developed models validated using empirical data from Kenya Aids Indicator Survey (2007).en_US
dc.identifier.urihttp://hdl.handle.net/11071/11815
dc.language.isoenen_US
dc.publisherStrathmore Universityen_US
dc.subjectStructural Equation Modelingen_US
dc.subjectCategorical variableen_US
dc.subjectHIV/AIDSen_US
dc.subjectRandom Effecten_US
dc.titleAnalysis of categorical data in presence of latent random effects using Structural Equation Modeling: an applicationen_US
dc.typeArticleen_US
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