Application of Structural Equation Modeling in Hypothesis Testing

Mburu, H. K. (2014). Application of structural equation modeling in hypothesis testing. International Journal of Business and Public Management, 3(1).

18 Pages Posted: 17 Mar 2015

See all articles by Henry Mburu

Henry Mburu

THE CATHOLIC UNIVERSITY OF EASTERN AFRICA

Date Written: October 1, 2014

Abstract

This is a methodological paper illustrating the use of structural equation modeling (SEM) technique in hypothesis testing. The illustration involves a job analysis assignment in human resource management. Hypotheses are set and tested. Empirical findings are used to make inferences in support of hypotheses or otherwise. Using a private dataset collected from bus drivers for a job analysis project, the paper has three stages. First, the data are subjected to exploratory factor analysis (EFA) to identify a reasonable number of constructs to include in the model. Reliability of the constructs is tested. Second, the constructs are named, and used to specify a measurement model using confirmatory factor analysis (CFA). The third stage uses structural equation modelling (SEM) to test the hypotheses and to re-specify the model before determining the final results.

Keywords: Exploratory factor analysis, Structural equation modeling, hypothesis testing

JEL Classification: M00

Suggested Citation

Mburu, Henry, Application of Structural Equation Modeling in Hypothesis Testing (October 1, 2014). Mburu, H. K. (2014). Application of structural equation modeling in hypothesis testing. International Journal of Business and Public Management, 3(1)., Available at SSRN: https://ssrn.com/abstract=2578464

Henry Mburu (Contact Author)

THE CATHOLIC UNIVERSITY OF EASTERN AFRICA ( email )

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