Power Analysis for Experimental Research: A

Power analysis is an essential tool for determining whether a statistically significant result can be expected in a scientific experiment prior to the experiment being performed. This comprehensive, accessible book provides practicing researchers with step-by-step instructions for conducting power/sample size analyses, assuming only basic prior knowledge of summary statistics and normal distribution. It contains a unified approach to statistical power analysis, with numerous easy-to-use tables that make further calculations or statistical expertise unnecessary.

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.

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Power Analysis for Experimental Research: A Practical Guide for the Biological, Medical and Social Sciences

Summary

Table of Contents

Supplemental Materials