Significance tests have their place

Article Abstract:

Null-hypothesis significance tests (NHST) reveal the sufficiency of evidence needed to rely on the sign of the population effect. However, this can only occur when the two-valued logic is replaced with the three-alternative hypothesis tests. Confidence intervals, the proposed alternative to NHST, are fraught with the same flaws suffered by NHST. Unlike confidence intervals, NHST provide the probabilities of a Type III error and of replication.

Evaluation, Confidence intervals

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Significance testing in psychological research: some persisting issues

Article Abstract:

Significance testing in psychological research is allegedly flawed. First, significance tests are claimed to be fraught with Type I errors, or improper rejections of null hypotheses. However, rates have been discovered to be well estimated despite some deviations. Critics also pinpoint the high rate of Type II errors, or acceptances of false null hypotheses. Null hypotheses are, however, viewed as constructions rather than propositions.

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