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
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
