Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
PROCESS macro is a regression modeling tool developed by Andrew F. Hayes, available for SPSS, SAS, and R. It is widely used in the social, business, and health sciences for mediation, moderation, moderated mediation, and conditional process analysis. The website also publishes information about PROCESS-related courses, such as the 2026 “Statistical Mediation Analysis” and “Statistical Moderation Analysis” courses taught by Hayes himself.
In terms of course focus, it is highly centered on statistical methods training, especially single and multiple mediation, parallel and serial mediation, two-way and three-way interactions, simple slopes, regions of significance, and conditional indirect effects. As for delivery format, the text explicitly mentions both online and in-person courses, and private delivery for teams of more than 10 people is available, but it does not specify whether sessions are live, recorded, or one-on-one. Certification or certificates are not disclosed. The teaching language is also not stated in the text. The instructor profile is strong: both the core tool and the courses revolve around Hayes himself and his textbook, Introduction to Mediation, Moderation, and Conditional Process Analysis.
Pricing information is incomplete. The text only notes that tuition for the 2026 in-person course in Calgary includes a one-day trip to Banff; specific pricing must be checked with or requested from the Canadian Centre for Research Analysis and Methods. In terms of support, the FAQ provides detailed explanations on installation, citation, model selection, and limitations of use. However, the author explicitly does not handle individual download issues, SPSS installation problems, or similar technical matters, so users need to rely on local technical support or IBM support.
Its strengths are a clear methodological focus, support for SPSS, SAS, and R, and the backing of an authoritative textbook plus extensive FAQ materials, making it suitable for serious research training. PROCESS also emphasizes command syntax, which helps improve research transparency and reproducibility. Its drawbacks are that the full documentation mainly depends on the book appendices, and the website does not provide a complete electronic manual; the graphical menu features are limited; and it does not support certain advanced needs such as multilevel models, latent variable models, or sampling weights.
It is suitable for PhD students, thesis and dissertation writers, researchers, and data analysts who need to conduct mediation or moderation analysis. It is less suitable for learners who simply want a quick no-code beginner experience. Access from China is not discussed in the text, and payment methods are not disclosed. Possible alternatives include Mplus, R lavaan, MLMED, or mediation/moderation and structural equation modeling courses offered by universities or institutions in China.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on processmacro.org official site.
processmacro.org is an United States Education provider. TG4G tracks its product information, an overall rating of 8.0/10, and a China-accessibility score of China direct-connect friendly. Click "Visit Official Site" to reach processmacro.org directly.