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The Analysis of Mechanisms and Their Contingencies: PROCESS versus Structural Equation Modeling
1.4K
Citations
28
References
2017
Year
Behavioral Decision MakingConsumer StudyModel EstimationConsumer ResearchTheir ContingenciesSocial InfluenceOrganizational BehaviorCausal InferenceSocial SciencesManagementConsumer BehaviorProcess ResearchStructural Equation ModelingConsumer Decision MakingConditional Process AnalysisDesignMarketing TheoryMechanism AnalysisMarketingIndustrial DesignOrganizational StructureBusinessMarketing ManagementStructural ModelingProcess ModellingStatistical MediationMechanistic Theory
Marketing, consumer, and organizational behavior researchers interested in studying the mechanisms by which effects operate and the conditions that enhance or inhibit such effects often rely on statistical mediation and conditional process analysis (also known as the analysis of “moderated mediation”). Model estimation is typically undertaken with ordinary least squares regression-based path analysis, such as implemented in the popular PROCESS macro for SPSS and SAS ( Hayes, 2013 ), or using a structural equation modeling program. In this paper we answer a few frequently-asked questions about the difference between PROCESS and structural equation modeling and show by way of example that, for observed variable models, the choice of which to use is inconsequential, as the results are largely identical. We end by discussing considerations to ponder when making the choice between PROCESS and structural equation modeling.
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