Abstract
One possible reason for the continued neglect of statistical power analysis in research in the behavioral sciences is the inaccessibility of or difficulty with the standard material. A convenient, although not comprehensive, presentation of required sample sizes is provided here. Effect-size indexes and conventional values for these are given for operationally defined small, medium, and large effects. The sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests: (a) the difference between independent means, (b) the significance of a product-moment correlation, (c) the difference between independent rs, (d) the sign test, (e) the difference between independent proportions, (f) chi-square tests for goodness of fit and contingency tables, (g) one-way analysis of variance, and (h) the significance of a multiple or multiple partial correlation.
Keywords
Primer (cosmetics)PsychologyPower (physics)StatisticsMathematicsChemistryPhysics
Affiliated Institutions
Related Publications
A power primer.
One possible reason for the continued neglect of statistical power analysis in research in the behavioral sciences is the inaccessibility of or difficulty with the standard mate...
Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs
Effect sizes are the most important outcome of empirical studies. Most articles on effect sizes highlight their importance to communicate the practical significance of results. ...
Statistical Strategies for Small Sample Research
On the Performance of Multiple Imputation for Multivariate Data with Small Sample Size - John W Graham and Joseph L Schafer Maximizing Power in Randomized Designs When N is Smal...
The logistic analysis of epidemiologic prospective studies: Investigation by simulation
Abstract We performed a Monte Carlo computer simulation of the Walker‐Duncan logistic regression technique in a typical epidemiologic prospective setting and analysed the result...
Statistical Methods for Rates and Proportions
Preface.Preface to the Second Edition.Preface to the First Edition.1. An Introduction to Applied Probability.2. Statistical Inference for a Single Proportion.3. Assessing Signif...
Publication Info
- Year
- 1992
- Type
- article
- Volume
- 112
- Issue
- 1
- Pages
- 155-159
- Citations
- 40686
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
40686
OpenAlex
Cite This
Jacob Cohen
(1992).
A power primer..
Psychological Bulletin
, 112
(1)
, 155-159.
https://doi.org/10.1037/0033-2909.112.1.155
Identifiers
- DOI
- 10.1037/0033-2909.112.1.155