PROCESS is an observed variable OLS and logistic regression path analysis modeling tool. It is widely used through the social, business, and health sciences for estimating direct and indirect effects in single and multiple mediator models (parallel and serial) , two and three way interactions in moderation models along with simple slopes and regions of significance for probing interactions, and conditional indirect effects in moderated mediation models with a single or multiple mediators or moderators. The use of PROCESS is described and documented in Introduction to Mediation, Moderation, and Conditional Process Analysis, published by The Guilford Press. PROCESS was written by Andrew F. Hayes.
Follow on Bluesky for PROCESS-related updates and course information. @afhayes.bsky.social
Add a course on mediation, moderation, and conditional process analysis using PROCESS to your schedule. Offered online and on-demand, with no set times in which you need to be online. Class starts December 9, 2024, and ends on April 9, 2025. This class has already started but is accepting registrations until January 9, 2025. For more information and to enroll, click here. Contact ccram@ucalgary.ca to offer this course to your group of 15 or more at a discount.
Testimonials
"Thank you so much for developing the PROCESS macro. It has allowed me to do what would be a thousand times more difficult without it." - South Korea.
"The PROCESS macro is great. It makes it easier to commit to one structure for analyzing a hypothesized mediation model. And it provides a relatively simple way to analyze relatively complex models using bootstrapping CIs." - United States
"Thank you so much for PROCESS!!!" - Israel
"Thank you for providing this excellent software - it is immensely helpful in my research." - United States
"Thank you for creating and sharing the PROCESS macro! I find your book (Introduction to Mediation, Moderation, and Conditional Process Analysis) and papers about special PROCESS topics very helpful, clear, and easy to follow - a real pleasure to read and apply. I look forward to reading and learning more about this topic!" - United States
"Thank you for PROCESS. It allowed me to do things in my dissertation that would have been computationally very difficult for me otherwise." - United States
"Testing moderated mediation has never been so easy." - Malaysia
"It is a much easier alternative to doing this in Mplus" - United States
"Thanks for developing this very nice model for solving moderation. I was stuck with my PhD data before I stumbled on it." – Kenya
"Thanks for inspiring us all to think in terms of mediating and moderating effects but, more importantly, help unleash the power of computational power in a easy to use way. SPSS without process is hard to imagine. Thank you for all your efforts!" -The Netherlands
"Research with the PROCESS macro tool is fun." -- Kenya
PROCESS has solved most of my problems with mediation and moderation since I started carrying out research and analysing such data... It is a wonderful development in research" - Nigeria
"PROCESS is a must-have" - United States
"...descended from heaven....true stats miracle." - United States
"I love PROCESS!! Thank you so much for this amazing tool." - United States
"PROCESS is a very user-friendly and marvelous macro." -- Turkey
"PROCESS has been such a great addition to my research tool kit." -- Canada
"Thank you for PROCESS! It is the next best thing to apple pie." -- Israel
"The PROCESS macro is great. It makes it easier to commit to one structure for analyzing a hypothesized mediation model. And it provides a relatively simple way to analyze relatively complex models using bootstrapping CIs." - United States
"Thank you so much for PROCESS!!!" - Israel
"Thank you for providing this excellent software - it is immensely helpful in my research." - United States
"Thank you for creating and sharing the PROCESS macro! I find your book (Introduction to Mediation, Moderation, and Conditional Process Analysis) and papers about special PROCESS topics very helpful, clear, and easy to follow - a real pleasure to read and apply. I look forward to reading and learning more about this topic!" - United States
"Thank you for PROCESS. It allowed me to do things in my dissertation that would have been computationally very difficult for me otherwise." - United States
"Testing moderated mediation has never been so easy." - Malaysia
"It is a much easier alternative to doing this in Mplus" - United States
"Thanks for developing this very nice model for solving moderation. I was stuck with my PhD data before I stumbled on it." – Kenya
"Thanks for inspiring us all to think in terms of mediating and moderating effects but, more importantly, help unleash the power of computational power in a easy to use way. SPSS without process is hard to imagine. Thank you for all your efforts!" -The Netherlands
"Research with the PROCESS macro tool is fun." -- Kenya
PROCESS has solved most of my problems with mediation and moderation since I started carrying out research and analysing such data... It is a wonderful development in research" - Nigeria
"PROCESS is a must-have" - United States
"...descended from heaven....true stats miracle." - United States
"I love PROCESS!! Thank you so much for this amazing tool." - United States
"PROCESS is a very user-friendly and marvelous macro." -- Turkey
"PROCESS has been such a great addition to my research tool kit." -- Canada
"Thank you for PROCESS! It is the next best thing to apple pie." -- Israel