Book contents
- Frontmatter
- Contents
- Introduction
- 1 The conceptual underpinnings of statistical power
- 2 Strategies for increasing statistical power
- 3 General guidelines for conducting a power analysis
- 4 The t-test for independent samples
- 5 The paired t-test
- 6 One-way between subjects analysis of variance
- 7 One-way between subjects analysis of covariance
- 8 One-way repeated measures analysis of variance
- 9 Interaction effects for factorial analysis of variance
- 10 Power analysis for more complex designs
- 11 Other power analytic issues and resources for addressing them
- Technical appendix
- Bibliography
- Index
11 - Other power analytic issues and resources for addressing them
Published online by Cambridge University Press: 28 August 2009
- Frontmatter
- Contents
- Introduction
- 1 The conceptual underpinnings of statistical power
- 2 Strategies for increasing statistical power
- 3 General guidelines for conducting a power analysis
- 4 The t-test for independent samples
- 5 The paired t-test
- 6 One-way between subjects analysis of variance
- 7 One-way between subjects analysis of covariance
- 8 One-way repeated measures analysis of variance
- 9 Interaction effects for factorial analysis of variance
- 10 Power analysis for more complex designs
- 11 Other power analytic issues and resources for addressing them
- Technical appendix
- Bibliography
- Index
Summary
While we have attempted to be as comprehensive in our treatment of power analytic concepts as possible in the space available to us, there are a number of issues that we have not been able to address. The purpose of this chapter, therefore, is to touch briefly on some of these issues and provide suggestions for what we consider to be the most useful resources available for investigators who (a) and themselves in need of conducting a more specialized power analysis than the tables in this book permit or (b) simply want to know more about the area.
Fortunately, there are a number of books, computer programs, and websites that can be quite helpful in these regards. While we do not aspire to be exhaustive in our treatment, we will mention those that we believe will be most likely to be of benefit or interest to the readers of this particular book.
Specialized books on power
Cohen, J. (1977). Statistical power for the behavioral sciences (2nd edn). New York: Academic Press. Reprinted by Laurence Erlbaum, Mahwah, NJ, 1988.
This is the best and most comprehensive text ever written on the topic. The book requires a bit more work than the present one on the part of the reader to use, but it is not exclusively geared toward experiments as ours is and covers a number of topics which we do not discuss including power/sample size tables for correlational procedures such as the Pearson r, multiple correlation, and χ2.
- Type
- Chapter
- Information
- Power Analysis for Experimental ResearchA Practical Guide for the Biological, Medical and Social Sciences, pp. 329 - 340Publisher: Cambridge University PressPrint publication year: 2002