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:
“You might say that Lyndon Johnson is a cross between a Baptist preacher and a cowboy.”
—Lyndon Baines Johnson (1908–1973)
“Among the interesting thing in camp are the boys. You recollect the boy in Captain McIlrath’s company; we have another like unto him in Captain Woodward’s. He ran away from Norwalk to Camp Dennison; went into the Fifth, then into the Guthries, and as we passed their camp, he was pleased with us, and now is “a boy of the Twenty-third.” He drills, plays officer, soldier, or errand boy, and is a curiosity in camp.”
—Rutherford Birchard Hayes (1822–1893)
“Protestantism has the method of Jesus with His secret too much left out of mind; Catholicism has His secret with His method too much left out of mind; neither has His unerring balance, His intuition, His sweet reasonableness. But both have hold of a great truth, and get from it a great power.”
—Matthew Arnold (1822–1888)