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Exploring the Replicability of a Study's Results [electronic resource] : Bootstrap Statistics for the Multivariate Case / Bruce Thompson.

Conventional statistical significance tests do not inform the researcher regarding the likelihood that results will replicate. One strategy for evaluating result replication is to use a "bootstrap" resampling of a study's data so that the stability of results across numerous configura...

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Bibliographic Details
Online Access: Full Text (via ERIC)
Main Author: Thompson, Bruce
Format: Electronic eBook
Language:English
Published: [Place of publication not identified] : Distributed by ERIC Clearinghouse, 1992.
Subjects:
Analysis of Covariance.
Analysis of Variance.
Correlation.
Discriminant Analysis.
Multivariate Analysis.
Regression (Statistics)
Research Methodology.
Sampling.
Statistical Significance.

MARC

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520 |a Conventional statistical significance tests do not inform the researcher regarding the likelihood that results will replicate. One strategy for evaluating result replication is to use a "bootstrap" resampling of a study's data so that the stability of results across numerous configurations of the subjects can be explored. This paper illustrates the use of the bootstrap in a canonical correlation analysis. Canonical correlation analysis is the most general case of classical general linear model analyses, subsuming other univariate and multivariate parametric method (e.g., t-tests, analysis of variance, analysis of covariance, regression, multivariate analysis of variance, and discriminant analysis) as special cases. A sample of 50 out of 301 subjects from a study by K. J. Holzinger and F. Swineford (1939) is used. Since bootstrap analyses capitalize during resampling on the commonalities inherent in a given sample, they yield somewhat inflated evaluations of replicability. However, inflated empirical evaluations of replicability are often superior to a mere presumption of replicability. Ten tables and one figure present details of the analysis. A 63-item list of references and an appendix listing the 50 analysis cases are included. (Author/SLD) 
650 0 7 |a Analysis of Covariance.  |2 ericd. 
650 0 7 |a Analysis of Variance.  |2 ericd. 
650 0 7 |a Correlation.  |2 ericd. 
650 0 7 |a Discriminant Analysis.  |2 ericd. 
650 1 7 |a Multivariate Analysis.  |2 ericd. 
650 0 7 |a Regression (Statistics)  |2 ericd. 
650 1 7 |a Research Methodology.  |2 ericd. 
650 0 7 |a Sampling.  |2 ericd. 
650 1 7 |a Statistical Significance.  |2 ericd. 
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