Preacher & Hayes (2004) Bootstrap Method
The bootstrapping method provides some advantages to the Sobel’s test, primarily an increase in power. The Preacher and Hayes Bootstrapping method is a non-parametric test (See Non-parametric statistics for a discussion on why non parametric tests have more power). As such, the bootstrap method does not violate assumptions of normality and is therefore recommended for small sample sizes. Bootstrapping involves repeatedly randomly sampling observations with replacement from the data set to compute the desired statistic in each resample. Over hundreds, or thousands, of bootstrap resamples provide an approximation of the sampling distribution of the statistic of interest. Hayes offers a macro
Read more about this topic: Mediation (statistics)
Famous quotes containing the words preacher, hayes and/or method:
“A successful woman preacher was once asked “what special obstacles have you met as a woman in the ministry?” “Not one,” she answered, “except the lack of a minister’s wife.””
—Anna Garlin Spencer (1851–1931)
“The good die young—but not always. The wicked prevail—but not consistently. I am confused by life, and I feel safe within the confines of the theatre.”
—Helen Hayes (1900–1993)
“Government by average opinion is merely a circuitous method of going to the devil; those who profess to lead but in fact slavishly follow this average opinion are simply the fastest runners and the loudest squeakers of the herd which is rushing blindly down to its destruction.”
—Thomas Henry Huxley (1825–95)