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ERIC Number: ED306273
Record Type: Non-Journal
Publication Date: 1989-Mar
Pages: 29
Abstractor: N/A
ISBN: N/A
ISSN: N/A
EISSN: N/A
Available Date: N/A
The Effects of Bootstrapping Strategies on the Estimation of Variance Components.
Luecht, Richard M.; Smith, Phillip L.
Two bootstrapping or resampling strategies were investigated to determine their applicability to estimating standard errors and ensuing confidence intervals on variance components in two-factor random analysis of variance models. In light of prior negative findings regarding the application of bootstrapping to this particular problem, a recommendation of an "optimal" approach to resampling was sought. The study used Monte Carlo simulations to test the variance component estimation accuracy under simultaneous resampling of all effect factors in a random model versus resampling a single factor. Results indicate that single-factor was a preferable method of resampling and produced reasonable estimates of both standard errors and confidence intervals (parametric and non-parametric). Suggestions for the appropriate application of the technique to educational measurement are discussed. (Author/TJH)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A