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Design Sensitivity
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Design Sensitivity
Statistical Power for Experimental Research


December 1989 | 208 pages | SAGE Publications, Inc

Whether in the laboratory or while doing fieldwork, all researchers face an important challenge - designing research that will have sufficient sensitivity to detect those effects it purports to investigate. Sample size, validity, and sensitivity, experimental error, subject variability and the type of statistical analysis all influence the sensitivity of a research design.

In this volume Lipsey examines the concept of design sensitivity and explains statistical power and the elements that determine it. Through careful explanations and selection of examples he explores a variety of topics: factors that degrade design sensitivity, effect size parameters and approaches to assessing it, how to estimate statistical power for various statistical tests, and the special problems statistical power poses for treatment effectiveness research. This book is a vital resource for evaluators, methodologists, statisticians, psychologists, public health professionals and educators.


 
PART ONE: STATISTICAL POWER IN TREATMENT EFFECTIVENESS RESEARCH
 
Treatment Effectiveness Research and Design Sensitivity
 
The Statistical Power Framework
 
Effect Size
The Problematic Parameter

 
 
How to Estimate Statistical Power
 
PART TWO: USEFUL APPROACHES AND TECHNIQUES
 
Dependent Measures
 
Design, Sample Size, and Alpha
 
The Independent Variable and the Role of Theory
 
Putting It All Together

"A very useful book to social science researchers and a valuable reference for practicing statisticians. I found many good suggestions in it. This book is a thought-provoking essay on statistical power analysis. It is worthwhile reading." 

Journal of the American Statistical Association`

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Paperback
ISBN: 9780803930636
$76.00