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A Review of Statistical Power Analysis Software
Author(s) -
Len Thomas,
Charles J. Krebs
Publication year - 1997
Publication title -
the bulletin of the ecological society of america
Language(s) - English
Resource type - Journals
eISSN - 2327-6096
pISSN - 0012-9623
DOI - 10.2307/20168137
Subject(s) - computer science
Although ecologists have become increasingly sophisticated in applying tests for statistical significance, few are aware of the power of these tests. Statistical power is the probability of getting a statistically significant result given that there is a biologically real effect in the population being studied. If a particular test is not statistically significant, is it because there is no effect or because the study design makes it unlikely that a biologically real effect would be detected? Power analysis can distinguish between these alternatives, and is therefore a critical component of designing experiments and testing results (Toft and Shea 1983, Rotenberry and Weins 1985, Peterman 1990, Fairweather 1991, Taylor and Gerrodette 1993, Thomas and Juanes 1996).

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