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The present paper discusses criticisms of statistical significance testing from both historical and contemporary perspectives. Statistical significance testing is greatly influenced by sample size and often results in meaningless information being over-reported. Variance-accounted-for-effect sizes are presented as an alternative to statistical significance testing. A review of the "Journal of Clinical Psychology" (1993) reveals a continued reliance on statistical significance testing on the part of researchers. Finally, scatterplots and correlation coefficients are presented to illustrate the lack of linear relationship between sample size and effect size. Two figures are included. (Contains 24 references.) (Author)

Descriptors: Correlation, Effect Size, Research Methodology, Sample Size, Statistical Significance, Testing

Autor: McClain, Andrew L.

Fuente: https://eric.ed.gov/?q=a&ft=on&ff1=dtySince_1992&pg=9998&id=ED382639

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