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:
“That poor little thing was a good woman, Judge. But she just sort of let life get the upper hand. She was born here and she wanted to be buried here. I promised her on her deathbed she’d have a funeral in a church with flowers. And the sun streamin’ through a pretty window on her coffin. And a hearse with plumes and some hacks. And a preacher to read the Bible. And folks there in church to pray for her soul.”
—Laurence Stallings (1804–1968)
“I do not think a revival of business will be greatly postponed by [Samuel J.] Tilden’s election. Business prosperity does not, in my judgment, depend on government so much as men commonly think.”
—Rutherford Birchard Hayes (1822–1893)
“A method of child-rearing is not—or should not be—a whim, a fashion or a shibboleth. It should derive from an understanding of the developing child, of his physical and mental equipment at any given stage, and, therefore, his readiness at any given stage to adapt, to learn, to regulate his behavior according to parental expectations.”
—Selma H. Fraiberg (20th century)