Hilton, Anthony and Armstrong, Richard A. (2007). Statnote 8: statistical power and sample size. Microbiologist, 2007 , pp. 38-40.
Abstract
Statistical software is now commonly available to calculate Power (P') and sample size (N) for most experimental designs. In many circumstances, however, sample size is constrained by lack of time, cost, and in research involving human subjects, the problems of recruiting suitable individuals. In addition, the calculation of N is often based on erroneous assumptions about variability and therefore such estimates are often inaccurate. At best, we would suggest that such calculations provide only a very rough guide of how to proceed in an experiment. Nevertheless, calculation of P' is very useful especially in experiments that have failed to detect a difference which the experimenter thought was present. We would recommend that P' should always be calculated in these circumstances to determine whether the experiment was actually too small to test null hypotheses adequately.
Divisions: | College of Health & Life Sciences > School of Biosciences College of Health & Life Sciences > Chronic and Communicable Conditions College of Health & Life Sciences College of Health & Life Sciences > School of Optometry > Optometry College of Health & Life Sciences > School of Optometry > Optometry & Vision Science Research Group (OVSRG) College of Health & Life Sciences > School of Optometry > Vision, Hearing and Language College of Health & Life Sciences > Clinical and Systems Neuroscience |
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Uncontrolled Keywords: | statistical software,power,sample size,experimental design |
Publication ISSN: | 1479-2699 |
Last Modified: | 29 Oct 2024 16:22 |
Date Deposited: | 19 Aug 2019 09:32 |
Full Text Link: | |
Related URLs: |
http://issuu.co ... s/micro_march07
(Publisher URL) |
PURE Output Type: | Article |
Published Date: | 2007-03 |
Authors: |
Hilton, Anthony
(
0000-0001-8025-5270)
Armstrong, Richard A. ( 0000-0002-5046-3199) |