When sample size is recalculated using unblinded interim data, use of the usual t-test at the end of a study may lead to an elevated type I error rate. This paper describes a numerical quadrature investigation to calculate the true probability of rejection as a function of the time of the recalculat
Testing type II error rates in biological anthropology
โ Scribed by Byers, Steven N.
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 64 KB
- Volume
- 111
- Category
- Article
- ISSN
- 0002-9483
No coin nor oath required. For personal study only.
โฆ Synopsis
This paper presents a look at the underused procedure of testing for Type II errors when ''negative'' results are encountered during research. It recommends setting a statistical alternative hypothesis based on anthropologically derived information and calculating the probability of committing this type of error. In this manner, the process is similar to that used for testing Type I errors, which is clarified by examples from the literature. It is hoped that researchers will use the information presented here as a means of attaching levels of probability to acceptance of null hypotheses.
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