The analysis of mechanisms and their contingencies: PROCESS versus structural equation modeling. Issue 1 (February 2017)

• Record Type: Journal Article
• Authors: Hayes, Andrew F.; Montoya, Amanda K.; Rockwood, Nicholas J.
• Is Part Of: Australasian marketing journal. Volume 25:Issue 1(2017)
• Page Start: 76
• Page End: 81
• Publication Date: 2017-02
• Subjects: Marketing -- Australasia -- Periodicals; Marketing -- Periodicals; 658.8480905
• DOI: 10.1016/j.ausmj.2017.02.001
• Languages: English
• ISSNs: 1441-3582

Abstract

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. Chinese Abstract: 营销、消费者和组织行为研究人员对研究这种影响经营的机制非常感兴趣，增强或抑制这种影响的条件通常依赖于统计调节和在一定条件下的处理分析（也叫做分析"适度调节"）。 模型评估通常采用普通最小乘法基于回归的路径分析（例如，在 SPSS 和 SAS 深受青睐的 PROCESS 宏中实现[Hayes, 2013 ]）或采用结构方程模型方案。 本文回答了一些有关 PROCESS 和结构方程模型之间区别的常见问题，并举例说明，对于观察的变量模型，选择使用哪种模型都无关紧要，因为其结果都大同小异。 本文结尾讨论了在 PROCESS 和结构方程模型之间进行选择时应考虑哪些因素。