A Review of Statistical Power Analysis Software

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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[2]  John A. Wiens,et al.  Statistical Power Analysis and Community-Wide Patterns , 1985, The American Naturalist.

[3]  S Greenland,et al.  On sample-size and power calculations for studies using confidence intervals. , 1988, American journal of epidemiology.

[4]  Ralph G. O'Brien.  PowerPack (Version 2.22) , 1988 .

[5]  Tim Gerrodette,et al.  The Uses of Statistical Power in Conservation Biology: The Vaquita and Northern Spotted Owl , 1993 .

[6]  Drake R. Bradley,et al.  A simulation laboratory for statistics , 1992 .

[7]  Len Thomas,et al.  Retrospective Power Analysis , 1997 .

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[10]  Helena Chmura Kraemer,et al.  How many subjects , 1989 .

[11]  Drake R. Bradley,et al.  Statistical power in complex experimental designs , 1996 .

[12]  Richard Goldstein Vice President.  Power and Sample Size via MS/PC-DOS Computers , 1989 .

[13]  Mark W. Lipsey,et al.  Design Sensitivity: Statistical Power for Experimental Research. , 1989 .

[14]  Edgar Erdfelder,et al.  GPOWER: A general power analysis program , 1996 .

[15]  Peter G. Fairweather,et al.  Statistical Power and Design Requirements for Environmental Monitoring , 1991 .

[16]  C. Toft,et al.  Detecting Community-Wide Patterns: Estimating Power Strengthens Statistical Inference , 1983, The American Naturalist.

[17]  R. Peterman.  Statistical Power Analysis can Improve Fisheries Research and Management , 1990 .

[18]  Martin Courtney,et al.  Analysis [IT software] , 2009 .

[19]  Tim Gerrodette,et al.  Models for Power of Detecting Trends: A Reply to Link and Hatfield , 1991 .

[20]  Normand Péladeau,et al.  SIMSTAT: Bootstrap computer simulation and statistical program for IBM personal computers , 1993 .

[21]  Tim Gerrodette,et al.  A POWER ANALYSIS FOR DETECTING TRENDS , 1987 .

[22]  William A. Link,et al.  Power Calculations and Model Selection for Trend Analysis: A Comment , 1990 .

[23]  P. Lachenbruch.  Statistical Power Analysis for the Behavioral Sciences (2nd ed.) , 1989 .

[24]  Len Thomas,et al.  Monitoring Long‐Term Population Change: Why are there so Many Analysis Methods? , 1996 .