Andrew F. Hayes 🇨🇦
@afhayes.bsky.social
🇨🇦 Distinguished Research Professor at the University of Calgary. Creator of the PROCESS macro for SPSS, SAS, and R. Director of the Canadian Centre for Research Analysis and Methods. afhayes.com haskayne.ucalgary.ca/ccram/academy (he/him) 🇺🇦
Here is a full text link: rdcu.be/eNoe7
Errors-in-variables regression as a viable approach to mediation analysis with random error-tainted measurements: Estimation, effectiveness, and an easy-to-use implementation
rdcu.be
October 30, 2025 at 10:18 AM
Here is a full text link: rdcu.be/eNoe7
If its a methods book that would fit in their methodology in the social sciences series, don't sign anything until you talk to CDeborah Laughton at The Guilford Press. I've published two books with them. If you want to take this advice, let me know and I can put you in touch.
July 15, 2025 at 1:50 AM
If its a methods book that would fit in their methodology in the social sciences series, don't sign anything until you talk to CDeborah Laughton at The Guilford Press. I've published two books with them. If you want to take this advice, let me know and I can put you in touch.
Indeed. PROCESS for R, as of version 5, does this automatically by adding plot=1 to the PROCESS command.
May 21, 2025 at 1:06 PM
Indeed. PROCESS for R, as of version 5, does this automatically by adding plot=1 to the PROCESS command.
Or you can come take SEM here in July. haskayne.ucalgary.ca/ccram/academy It isn’t free, but you may find Calgary and Banff and interacting with other scientists face to face is a lot more interesting than staring at your computer screen.
May 14, 2025 at 1:29 PM
Or you can come take SEM here in July. haskayne.ucalgary.ca/ccram/academy It isn’t free, but you may find Calgary and Banff and interacting with other scientists face to face is a lot more interesting than staring at your computer screen.
Don’t forget that PROCESS can estimate counterfactually-defined effects allowing for treatment (X) by mediator (M) interaction, and check out the new option in v5 for adjusting for random measurement error in X, M, and controls.
haskayne.ucalgary.ca/sites/defaul...
www.afhayes.com/public/EIV_H...
haskayne.ucalgary.ca/sites/defaul...
www.afhayes.com/public/EIV_H...
March 15, 2025 at 5:20 AM
Don’t forget that PROCESS can estimate counterfactually-defined effects allowing for treatment (X) by mediator (M) interaction, and check out the new option in v5 for adjusting for random measurement error in X, M, and controls.
haskayne.ucalgary.ca/sites/defaul...
www.afhayes.com/public/EIV_H...
haskayne.ucalgary.ca/sites/defaul...
www.afhayes.com/public/EIV_H...