Purpose
This paper aims to popularize the Bayesian methods among novice management researchers. The paper interprets the results of Bayesian method of confirmatory factor analysis (CFA), structural equation modelling (SEM), mediation and moderation analysis, with the intention that the novice researchers will apply this method in their research. The paper made an attempt in discussing various complex mathematical concepts such as Markov Chain Monte Carlo, Bayes factor, Bayesian information criterion and deviance information criterion (DIC), etc. in a lucid manner.
Design/methodology/approach
Data collected from 172 pharmaceutical sales representatives were used. The study will help the management researchers to perform Bayesian CFA, Bayesian SEM, Bayesian moderation analysis and Bayesian mediation analysis using SPSS AMOS software.
Findings
The interpretation of the results of Bayesian CFA, Bayesian SEM and Bayesian mediation analysis were discussed.
Practical implications
The management scholars are non-statisticians and are not much aware of the benefits offered by Bayesian methods. Hitherto, the management scholars use predominantly traditional SEM in validating their models empirically, and this study will give an exposure to “Bayesian statistics” that has practical advantages.
Originality/value
This is one paper, which discusses the following four concepts: Bayesian method of CFA, SEM, mediation and moderation analysis.
Everyday bodily movement is associated with creativity independently from active positive affect: a Bayesian mediation analysis approach
