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Introduction to Power Analysis
Two-Group Studies
- E. C. Hedberg - Abt Associates Inc., USA
Volume:
176
December 2017 | 160 pages | SAGE Publications, Inc
Introduction to Power Analysis: Two-Group Studies provides readers with the background, examples, and explanation they need to read technical papers and materials that include complex power analyses. This clear and accessible guide explains the components of test statistics and their sampling distributions, and author Eric Hedberg walks the reader through the simple and complex considerations of this research question. Filled with graphics and examples, the reader is taken on a tour of power analyses from covariates to clusters, seeing how the complicated task of comparing two groups, and the power analysis, can be made easy.
Chapter 1: The what, why, and when of power analysis
Chapter 2: Statistical distributions
Chapter 3: General topics in hypothesis testing and power analysis when the population standard deviation is known: the case of two group means
Chapter 4: The difference between two groups in simple random samples where the population standard deviation must be estimated
Chapter 5: Using covariates when testing the difference in sample group means for balanced designs
Chapter 6: Multilevel Models I: Testing the difference in group means in two-level cluster randomized trials
Chapter 7: Multilevel Models II: Testing the difference in group means in two-level multisite randomized trials
Chapter 8: Reasonable assumptions
Chapter 9: Writing about power
Chapter 10: Conclusions, further reading, and regression
Sample Materials & Chapters
Chapter 3: General topics in hypothesis testing and power analysis when the popu
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