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Introduction to Power Analysis E. C. Hedberg

Introduction to Power Analysis By E. C. Hedberg

Introduction to Power Analysis by E. C. Hedberg

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Introduction to Power Analysis Summary

Introduction to Power Analysis: Two-Group Studies by E. C. Hedberg

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.

Introduction to Power Analysis Reviews

Introduction to Power Analysis provides detailed coverage of the topic in a succinct and concise way. Graduate students and others (including faculty who are also researchers) can benefit from this resource as it outlines the steps to conduct and evaluate power analysis to produce rigorous quantitative research in the social sciences, as well as why power analysis and effects are important to understand and apply in research.

-- Stephanie Jones

Although there are a number of software programs available for power analysis, this volume teaches the reader how to employ power analysis using a popular software program (R) that can also be used to perform the desired statistical analyses on the data.

-- Leslie Echols

About E. C. Hedberg

E. C. Hedberg is a Senior Associate at Abt Associates. Previously he was a Senior Research Scientist at NORC at the University of Chicago. He received his undergraduate degree in Sociology from the University of Minnesota and his PhD in Sociology from the University of Chicago. His work is primarily focused on estimating design parameters useful for power analysis, multilevel modeling, social capital theory, and evaluation research.

Table of Contents

Chapter 1: The what, why, and when of power analysis What is statistical power? Why should power be a consideration when planning studies? When should you perform a power analysis? Significance and Effect 8 What do you need to know to perform a power analysis? The structure of the volume Chapter 2: Statistical distributions Normally distributed random variables The x^2 distribution The t distribution The F distribution F to t Chapter 3: General topics in hypothesis testing and power analysis when the population standard deviation is known: the case of two group means The difference in means as a normally distributed random variable when the population standard deviation is known Hypothesis testing with the difference between two group means when the population standard deviation is known Power analysis for testing the difference between two group means when the population standard deviation is known Scale-free parameters Balance or unbalanced? Types of power analyses Power tables Chapter 4: The difference between two groups in simple random samples where the population standard deviation must be estimated Data generating process Testing the difference between group means with samples Power analysis for samples without covariates Chapter 5: Using covariates when testing the difference in sample group means for balanced designs Example analysis Tests employing a covariate (ANCOVA) with balanced samples Power analysis with a covariate correlated with the treatment indicator Power analysis with a covariate uncorrelated to the treatment indicator Chapter 6: Multilevel Models I: Testing the difference in group means in two-level cluster randomized trials Example data Understanding the single level test as an ANOVA The hierarchical mixed model for cluster randomized trials Power parameters for cluster randomized trials Example analysis of a cluster randomized trial Power analyses for cluster randomized trials Chapter 7: Multilevel Models II: Testing the difference in group means in two-level multisite randomized trials Power parameters for multisite randomized trials Example analysis of a multisite randomized trial Power analyses for multisite randomized trails Chapter 8: Reasonable assumptions Power analyses are arguments Strategies for using the literature to make reasonable assumptions Chapter 9: Writing about power What to include Examples Chapter 10: Conclusions, further reading, and regression The case study of comparing two groups Further reading Observational regression

Additional information

GOR013581354
9781506343129
1506343120
Introduction to Power Analysis: Two-Group Studies by E. C. Hedberg
E. C. Hedberg
Quantitative Applications in the Social Sciences
Used - Like New
Paperback
SAGE Publications Inc
2018-02-28
160
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
The book has been read, but looks new. The book cover has no visible wear, and the dust jacket is included if applicable. No missing or damaged pages, no tears, possible very minimal creasing, no underlining or highlighting of text, and no writing in the margins

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