Bootstrapped Mediation (Preacher & Hayes)
HR & WorkReliability: statistical method4 sample items
About this scale
A non-parametric bootstrapping method for testing indirect effects in mediation models. Generates a confidence interval for the indirect effect a*b without assuming normal distribution. PROCESS macro by Hayes is the standard implementation.
Sample item(s)
“Specify mediation model: X → M → Y”
“Bootstrap 5,000+ samples”
“Indirect effect = mean of a*b across resamples”
“95% CI excluding zero supports mediation”
Reliability
Reported internal consistency: statistical method. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
PROCESS macro available at processmacro.org.
Source & citation
Preacher, K. J., & Hayes, A. F. (2008): Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, Vol. 40, No. 3, pp. 879–891.
Source. Scale details are summarised from the publication cited above. Always consult the original source for the full item set, scoring, and permission to use.
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