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ERIC Number: ED540817
Record Type: Non-Journal
Publication Date: 2011-Feb-2
Pages: 12
Abstractor: As Provided
Reference Count: 10
Using the Descriptive Bootstrap to Evaluate Result Replicability (Because Statistical Significance Doesn't)
Spinella, Sarah
Online Submission, Paper presented at the Annual Meeting of the Southwest Educational Research Association (San Antonio, TX, Feb 2-5, 2011)
As result replicability is essential to science and difficult to achieve through external replicability, the present paper notes the insufficiency of null hypothesis statistical significance testing (NHSST) and explains the bootstrap as a plausible alternative, with a heuristic example to illustrate the bootstrap method. The bootstrap relies on resampling with replacement from the original sample to generate a sampling distribution of bootstrap samples. An estimated standard error can be derived from the bootstrap sampling distribution to determine the replicability of statistical results in the original sample. (Contains 1 figure and 1 table.)
Publication Type: Reports - Evaluative; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A