Australasian Marketing Journal (AMJ)· 2017Q1
The Analysis of Mechanisms and Their Contingencies: PROCESS versus Structural Equation Modeling
- 1,493citations
- Q1SCImago
- 2017year
Short summary
For observed variable models, the PROCESS macro and structural equation modeling (SEM) yield largely identical results when analyzing mediation and conditional process analysis.
AI-generated from the title and abstract; the full text is not read.
Key points
- PROCESS macro and SEM produce largely identical results for observed variable mediation and conditional process analysis.
- The choice between PROCESS and SEM is inconsequential for observed variable models.
- The paper addresses frequently asked questions regarding the differences between PROCESS and SEM.
- Considerations for choosing between PROCESS and SEM are discussed.
AI-generated from the title and abstract; the full text is not read.
Abstract
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.
The authors' abstract, as published at the source. Australasian Marketing Journal (AMJ), 2017 · DOI ↗
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Field: Social Psychology
Social PsychologyPsychology