PROCESS is an easy to use add-on for SPSS and SAS for statistical mediation, moderation, and conditional process analysis. The use of PROCESS is described and documented in Introduction to Mediation, Moderation, and Conditional Process Analysis, published by The Guilford Press.
PROCESS uses an ordinary least squares or logistic regression-based path analytic framework 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, conditional indirect effects in moderated mediation models with a single or multiple mediators and moderators, and indirect effects of interactions in mediated moderation models also with a single or multiple mediators. Bootstrap and Monte Carlo confidence intervals are implemented for inference about indirect effects, including various measures of effect size. PROCESS can estimate moderated mediation models with multiple mediators, multiple moderators of individual paths, interactive effects of moderators on individual paths, and models with dichotomous outcomes.
PROCESS was written by Andrew F. Hayes. The current release is version 2.16
Facebook users can stay appraised of latest developments in PROCESS by liking here. Tweeters about PROCESS can use the hashtag #processmacro. Email should be directed to afhayes@processmacro.org.
PROCESS uses an ordinary least squares or logistic regression-based path analytic framework 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, conditional indirect effects in moderated mediation models with a single or multiple mediators and moderators, and indirect effects of interactions in mediated moderation models also with a single or multiple mediators. Bootstrap and Monte Carlo confidence intervals are implemented for inference about indirect effects, including various measures of effect size. PROCESS can estimate moderated mediation models with multiple mediators, multiple moderators of individual paths, interactive effects of moderators on individual paths, and models with dichotomous outcomes.
PROCESS was written by Andrew F. Hayes. The current release is version 2.16
Facebook users can stay appraised of latest developments in PROCESS by liking here. Tweeters about PROCESS can use the hashtag #processmacro. Email should be directed to afhayes@processmacro.org.