Abstract
Conventional statistical significance tests do not inform the researcher regarding the likelihood that results will replicate. One strategy for evaluating result replicability is to employ a "bootstrap" re sampling of a study's data so that the stability of results across numerous configurations of the subjects can be explored. This article illustrates the use of the bootstrap in a canonical correlation analysis.
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