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)
“Both of us felt more anxiety about the South—about the colored people especially—than about anything else sinister in the result. My hope of a sound currency will somehow be realized; civil service reform will be delayed; but the great injury is in the South. There the Amendments will be nullified, disorder will continue, prosperity to both whites and colored people will be pushed off for years.”
—Rutherford Birchard Hayes (1822–1893)
“... [a] girl one day flared out and told the principal “the only mission opening before a girl in his school was to marry one of those candidates [for the ministry].” He said he didn’t know but it was. And when at last that same girl announced her desire and intention to go to college it was received with about the same incredulity and dismay as if a brass button on one of those candidate’s coats had propounded a new method for squaring the circle or trisecting the arc.”
—Anna Julia Cooper (1859–1964)