Design Sensitivity

SAGE PUBLICATIONS INCISBN: 9780803930636

Statistical Power for Experimental Research

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By Mark W. Lipsey
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SAGE PUBLICATIONS INC
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Format:
PAPERBACK
Pages:
208

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Description

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.

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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