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.