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)
“Left Washington, September 6, on a tour through Ohio, Kentucky, Tennessee, Georgia, and Virginia.... Absent nineteen days. Received every where heartily. The country is again one and united! I am very happy to be able to feel that the course taken has turned out so well.”
—Rutherford Birchard Hayes (1822–1893)
“Relying on any one disciplinary approach—time-out, negotiation, tough love, the star system—puts the parenting team at risk. Why? Because children adapt to any method very quickly; today’s effective technique becomes tomorrow’s worn dance.”
—Ron Taffel (20th century)