Key points are not available for this paper at this time.
Three of the various criticisms of conventional uses of statistical significance testing are elaborated. Three alternatives for augmenting statistical significance tests in interpreting results are then elaborated. These include emphasizing effect sizes, evaluating statistical significance tests in a sample size context, and evaluating result replicability. Ways of estimating result replicability from data in hand include crossvalidation, jackknife, and bootstrap logics. The bootstrap is explored in some detail.
Bruce Thompson (1993) studied this question.