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:
“Now folks, I hereby declare the first church of Tombstone, which ain’t got no name yet or no preacher either, officially dedicated. Now I don’t pretend to be no preacher, but I’ve read the Good Book from cover to cover and back again, and I nary found one word agin dancin’. So we’ll commence by havin’ a dad blasted good dance.”
—Samuel G. Engel (1904–1984)
“While I believe that with a fair election in the South, our electoral vote would reach two hundred, and that we should have a large popular majority, I am yet anxious, as you are, that in the canvassing of results there should be no taint of dishonesty.”
—Rutherford Birchard Hayes (1822–1893)
“No method nor discipline can supersede the necessity of being forever on the alert. What is a course of history or philosophy, or poetry, no matter how well selected, or the best society, or the most admirable routine of life, compared with the discipline of looking always at what is to be seen? Will you be a reader, a student merely, or a seer? Read your fate, see what is before you, and walk on into futurity.”
—Henry David Thoreau (1817–1862)