Perspectives On Statistical Significance Testing

Comments on the Statistical Significance Testing Articles

This review assumes a middle-of-the-road position regarding the controversy. The author expresses that significance tests have their place, but generally prefers confidence intervals. His remarks concentrate on ten errors of commission or omission that, in his opinion, weaken the arguments. These possible errors include using the jackknife and bootstrap procedures for replicability purposes, om...

Statistical Significance of a Correlation 1 Running Head: SIGNIFICANCE TESTING AND CORRELATIONS Testing the Statistical Significance of a Correlation

Statistical significance testing and clinical effectiveness studies.

Effectiveness studies, by definition, must reflect patient and treatment variables that exist in the real world of practice. This includes identifying the covariates that contribute to both positive and negative outcomes. The use of clinically significant change and reliable change indices is reviewed to demonstrate that patient changes can be made on the basis of normative comparisons, using o...

The Insignificance of Statistical Significance Testing

Despite their wide use in scientific journals such as The Journal of Wildlife Management, statistical hypothesis tests add very little value to the products of research. Indeed, they frequently confuse the interprettation of data. This paper describes how statistical hypothesis tests are often viewed, and then contrasts that interpretation with the correct one. I discuss the arbitrariness of P-...

Statistical significance and statistical power in hypothesis testing.

Experimental design requires estimation of the sample size required to produce a meaningful conclusion. Often, experimental results are performed with sample sizes which are inappropriate to adequately support the conclusions made. In this paper, two factors which are involved in sample size estimation are detailed--namely type I (alpha) and type II (beta) error. Type I error can be considered ...