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)
“I am not naturally ... “A bag of wind”; yet ... I mean deliberately and decidedly “to cut” in future all my old ideas on this head. I don’t think modesty “pays.” It is a good quality in a family, it is a domestic virtue, it makes a home happy after you have got a home, but it is not potent in getting homes. It is not a money-maker, neither is it lucky in gaining a reputation. I am of the impression that gaseous bodies do better.”
—Rutherford Birchard Hayes (1822–1893)
“It is to be lamented that the principle of national has had very little nourishment in our country, and, instead, has given place to sectional or state partialities. What more promising method for remedying this defect than by uniting American women of every state and every section in a common effort for our whole country.”
—Catherine E. Beecher (1800–1878)