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:
“Why the jailer does not leave open his prison doors,—why the judge does not dismiss his case,—why the preacher does not dismiss his congregation! It is because they do not obey the hint God gives them, nor accept the pardon which he freely offers to all.”
—Henry David Thoreau (1817–1862)
“The flattering, if arbitrary, label, First Lady of the Theatre, takes its toll. The demands are great, not only in energy but eventually in dramatic focus. It is difficult, if not impossible, for a star to occupy an inch of space without bursting seams, cramping everyone else’s style and unbalancing a play. No matter how self-effacing a famous player may be, he makes an entrance as a casual neighbor and the audience interest shifts to the house next door.”
—Helen Hayes (1900–1993)
“Steady labor with the hands, which engrosses the attention also, is unquestionably the best method of removing palaver and sentimentality out of one’s style, both of speaking and writing.”
—Henry David Thoreau (1817–1862)