MEDIATION IN CAUSAL LOG-LINEAR MODELS
DOI:
https://doi.org/10.20472/ES.2016.5.3.003Keywords:
Causal effects, Customer satisfaction, Interaction, Log-linear model, Mediation, Parallel mediatorsAbstract
The analysis of the causality is important in many fields of research. To obtain the causal effects in a causal log-linear model I propose a theory, using the odds ratio and the concepts proposed by Pearl, whenever possible. I start calculating the effects in a simple mediation model where I analyze a new interaction effect, which I call cell. After I calculate the effects in a mediation model with two parallel mediators. If they are correlated, Pearl's theory cannot be used and no alternative theory has been proposed so far. To resolve this issue I present a new concept of causality. The mediation models are essential in the marketing, then to it, for a more complex analysis, I apply my causal theory.
Data:
Received: 15 Jun 2016
Revised: 10 Aug 2016
Accepted: 6 Sep 2016
Published: 20 Sep 2016
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Copyright (c) 2016 Gloria Gheno (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.