Using PROCESS Macro
(3) Simple Mediation
process vars=donate winner votes/y=votes/x=donate/m=winner/model=4
/total=1/effsize=1/boot=10000.
•Estimates the total and direct effect of donate on votes, as well as the
indirect effect of donate on votes through winner.
•Generates a bias-corrected 95% bootstrap confidence interval for the
indirect effect using 10,000 bootstrap samples.
•Produces point estimates and bias-corrected 95% bootstrap confi-
dence interval estimates of various indices of effect size for the indirect
effect.
(4) Parallel Multiple Mediation
process vars=know educ attn elab sex age/y=know/x=educ/m=attn elab/model=4/
/contrast=1/normal=1/conf=90/save=1.
•Estimates the direct effect of educ on know, as well as the total and
specific indirect effects of educ on know through attn and elab, with
attn and elab functioning as parallel mediators.
•sex and age are included in the model as covariates.
•Produces the Sobel test for the specific indirect effects.
•Generates 90% bias-corrected bootstrap confidence intervals for the
indirect effects using 1,000 bootstrap samples.
Hayes, Andrew F. (2013-04-22). Introduction to Mediation, Moderation, and Conditional Process Analysis: Methodology in the Social Sciences (Page 423). Guilford Press. Kindle Edition.