Mediation analysis with categorical independent variables Online publication date: Wed, 27-Aug-2014
by Hyoung-Kil Kang; Eunsoon Lee
International Journal of Experimental Design and Process Optimisation (IJEDPO), Vol. 3, No. 2, 2012
Abstract: The primary goal of mediation analysis is to explicate the mechanism that underlies an observed relationship between an independent variable and a dependent variable by including a third explanatory variable, known as a mediator variable. While the concept of mediation is theoretically appealing, our literature study indicates that there has not been a comprehensive research work on how a categorical variable is assessed in the statistical mediation analysis of time and perceived quality of life. The main objective of this paper is two-fold. First, this paper develops conceptual justifications of employing psychological variables to represent unique constructs with as little conceptual overlap as possible in the mediation analysis to prevent multicollinearity issues. Second, a modified approach is then proposed to estimate relative direct and indirect effects as well as relative total effects between a categorical independent variable and a dependent variable. A numerical example is provided to facilitate the proposed approach.
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