POWER ANALYSIS 2016 EDITION
An introductory graduate-level introduction and tutorial on power analysis in social science and in general research.
Why we think it's important: While significance is widely taught, power analysis is not, though equally important.
New in the 2016 edition:
The full content is now available from Statistical Associates Publishers. Click here.
Below is the unformatted table of contents.
POWER ANALYSIS Table of Contents Introduction 4 Data Used in this Volume 6 Part 1: Overview of Basic Concepts 7 Purpose 7 Factors affecting power 10 Desired power level 10 Desired significance level 10 Desired effect size 12 Variance or variation of the dependent variable 14 Sample size 15 Random sampling 15 Summary 16 Post hoc power estimation 16 Use of confidence intervals instead of post-hoc power analysis 17 Acceptable use of post-hoc power analysis 17 Part 2: Software Applications 18 SPSS 18 Power analysis for t-tests 19 Power analysis for multiple regression 24 Stata 27 Power analysis for t tests with Stata 31 Power analysis for multiple regression with Stata 37 SAS 40 Power analysis for t tests with SAS 40 Power analysis for multiple regression with SAS 44 G*Power 46 Overview 46 Power analysis for t tests with G*Power 48 Power analysis for multiple regression with G*Power 53 Other Software Applications for Power Analysis 57 PS 57 Russ Lenth's Java Applets for Power Analysis and Sample Size 59 DSS Researcher's Toolkit 61 Raosoft Sample Size Calculator 62 Daniel Soper's Statistical Calculator 63 Optimal Design 65 Other Options 66 Appendix: Precision Analysis 67 Bibliography 70 Pagecount: 71