Analysis of categorical data in presence of latent random effects using Structural Equation Modeling: an application
Date
2017
Authors
Keli, Robert
Mwambi, Henry
Okango, Elphas
Journal Title
Journal ISSN
Volume Title
Publisher
Strathmore University
Abstract
In 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).
Description
Paper presented at the 4th Strathmore International Mathematics Conference (SIMC 2017), 19 - 23 June 2017, Strathmore University, Nairobi, Kenya.
Keywords
Structural Equation Modeling, Categorical variable, HIV/AIDS, Random Effect