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Design Sensitivity
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Design Sensitivity
Statistical Power for Experimental Research



February 1990 | 208 pages | SAGE Publications, Inc
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. Through careful explanations and selection of examples, Lipsey examines the concept of design sensitivity and explains statistical power and the elements that determine it.
 
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
£45.99