Power Analysis: 206 Edition (Statistical Associates Blue Book Series 23)
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Power Analysis: 206 Edition (Statistical Associates Blue Book Series 23)
POWER ANALYSIS 2016 EDITION
Overview
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:
Over twice as long as the 2012 edition (71 pages) New coverage of power analysis in SAS and Stata New coverage of six power analysis package available free on the web Existing coverage of SPSS and G*Power is updated and expanded Discussion of controversy surrounding post-hoc power analysis Appendix on precision analysis
Below is the unformatted table of contents.
POWER ANALYSIS Table of Contents
Introduction4 Data Used in this Volume6 Part 1: Overview of Basic Concepts7 Purpose7 Factors affecting power10 Desired power level10 Desired significance level10 Desired effect size12 Variance or variation of the dependent variable14 Sample size15 Random sampling15 Summary16 Post hoc power estimation16 Use of confidence intervals instead of post-hoc power analysis17 Acceptable use of post-hoc power analysis17 Part 2: Software Applications18 SPSS18 Power analysis for t-tests19 Power analysis for multiple regression24 Stata27 Power analysis for t tests with Stata31 Power analysis for multiple regression with Stata37 SAS40 Power analysis for t tests with SAS40 Power analysis for multiple regression with SAS44 G*Power46 Overview46 Power analysis for t tests with G*Power48 Power analysis for multiple regression with G*Power53 Other Software Applications for Power Analysis57 PS57 Russ Lenth's Java Applets for Power Analysis and Sample Size59 DSS Researcher's Toolkit61 Raosoft Sample Size Calculator62 Daniel Soper's Statistical Calculator63 Optimal Design65 Other Options66 Appendix: Precision Analysis67 Bibliography70 Pagecount:71