Design Sensitivity: Statistical Power for Experimental Research / Edition 1

by Mark W. Lipsey

Overview

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.

Product Details

ISBN-13:	9780803930636
Publisher:	SAGE Publications
Publication date:	12/01/1989
Series:	Applied Social Research Methods
Edition description:	New Edition
Pages:	208
Product dimensions:	5.50(w) x 8.50(h) x 0.48(d)

About the Author

Mark W. Lipsey is the Director of the Center for Evaluation Research and Methodology, and a Senior Research Associate, at the Vanderbilt Institute for Public Policy Studies (Ph.D. in Psychology from The Johns Hopkins University in 1972). His professional interests are in the areas of public policy, program evaluation research, social intervention, field research methodology, and research synthesis (meta-analysis). The topics of his recent research have been risk and intervention for juvenile delinquency and substance use, early childhood education programs, and issues of methodological quality in program evaluation research. Professor Lipsey serves on the editorial boards of Evaluation and Program Planning, Psychological Bulletin, the Journal of Experimental Criminology, and the American Journal of Community Psychology, and boards or committees of, among others, the National Research Council, the Department of Education What Works Clearinghouse, Campbell Collaboration, and Blueprints for Violence Prevention. He is a recipient of the American Evaluation Association’s Paul Lazarsfeld Award, the Society of Prevention Research’s Nan Tobler Award, a Fellow of the American Psychological Society, and co-author of the program evaluation textbook, Evaluation: A Systematic Approach and the meta-analysis primer, Practical Meta-Analysis.

Table of Contents

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

Editorial Reviews

"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‘

"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