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- W308125891 abstract "Statistical significance is often inappropriately equated with evaluating result importance and evaluating result replicability even though these are three somewhat different issues. The prudent researcher must separately assess each of these elements of the triumvirate by using different methods. This paper focuses on two types of empirical methods for estimating research result repliembility: double.cross-validation, and bootstrap procedures. A commonly available statistical computer package, the Statistical Package for the Social Sciences (SPSS-X), is used to carry out the steps required for the double cross-validation procedure, and a recently developed microcomputer program package (developed by C. E. Lunneborg, 1987) is implemented to demonstrate the bootstrap logic. Both methods are applied to a heuristic data set of observed values of three independent variables and one dependent variable for a sample of 25 subjects. It is concluded that although each procedure has some shortcomings, the advantages of using either far outweigh the disadvantages. There are 5 tables of analysis data and a 19-item list of ref=rences. (SLD) ***********************************0**,******************************** Reproductions supplied by EDRS are the best that can be made from the original document. ***********************************************************************" @default.
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- W308125891 date "1992-04-01" @default.
- W308125891 modified "2023-09-27" @default.
- W308125891 title "Estimating Result Replicability Using Double Cross-Validation and Bootstrap Methods." @default.
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