Modelling Double-Moderated-Mediation & Confounder Effects Using Bayesian Statistics

Chrysochoidis, Georgios, Tummers, Lars and Van de Schoot, Rens (2014) Modelling Double-Moderated-Mediation & Confounder Effects Using Bayesian Statistics. In: Academy of Marketing 2014. UNSPECIFIED, Bournemouth.

Full text not available from this repository.

Abstract

This study provides an example on how to conceptualize and estimate models when double moderated mediation with nominal and continuous (Likert type) variables need to be simultaneously accounted for, and also how to appease reservations given the biases due to the implicit sequential ignorability assumption (endogeneity) regularly overseen in marketing research. We explain the issues and apply the proposed solution using empirical data. The benefits for research are considerable as this approach is superior to other approaches (e.g. splitting the sample by the binary moderator and estimating a moderated mediation model) while also accounting for accounted confounders.

Item Type:	Book Section
Faculty \ School:	Faculty of Social Sciences > Norwich Business School
Depositing User:	Pure Connector
Date Deposited:	10 Jul 2014 13:40
Last Modified:	05 Aug 2021 23:37
URI:	https://ueaeprints.uea.ac.uk/id/eprint/49487
DOI:

Actions (login required)

View Item