Running Head: BOOTSTRAP FOR UNIVARIATE MULTIPLE REGRESSION The Beginner's Guide to the Bootstrap Method of Resampling

The bootstrap method of resampling can be useful in estimating the replicability of study results. The bootstrap procedure creates a mock population from a given sample of data from which multiple samples are then drawn. The method extends the usefulness of the jackknife procedure as it allows for computation of a given statistic across a maximal number of fluctuations in the original sample from which the bootstrap data are based. A sample set of data is used to demonstrate the bootstrap procedure for a univariate multiple regression analysis. (Contains 1 figure, 2 tables, and 16 references.) (Author/SLD) Reproductions supplied by EDRS are the best that can be made from the original document. BOOTSTRAP