Methods of Randomization in Experimental Design

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Overview

In Methods of Randomization in Experimental Design, author Valentim R. Alferes presents the main procedures of random assignment and local control in between-subjects experimental designs and the counterbalancing schemes in within-subjects or cross-over experimental designs. Alferes uses a pedagogical strategy that allows the reader to implement all randomization methods by relying on the materials given in the appendices and using common features included in most word processor software.

A companion website at www.sagepub.com/alferes provides downloadable IBM SPSS and R versions of SCRAED, a package that performs simple and complex random assignment in experimental design, including the 18 randomization methods presented in Chapters 2 and 3.

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Editorial Reviews

Richard Berk
“This book does an excellent job covering the key issues.”
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Product Details

Meet the Author

Valentim R. Alferes is Professor of Psychology at the University of Coim­bra, Portugal, where he has been teaching courses in social psychology and research methods in psychology at the undergraduate and graduate levels for over 20 years. His main scientific interests and publications are in the domains of sexuality, close relationships, dyadic data analysis, and experi­mental design. He has delivered lectures and conducted workshops on methodological and statistical topics at several Portuguese universities and has also maintained an SPSS Syntax Files website since 2002. He earned a PhD in social psychology from the University of Coimbra in 1995.

http://www.fpce.uc.pt/niips/

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Table of Contents

Chapter 1. Randomized Experiments
1.1 Nature and Structure of Randomized Experiments
1.2 Experimental Design and Validity of Scientific Inferences
1.3 Randomized Experiments and Methods of Randomization
1.4 Terminological and Notational Issues
Chapter 2. Between-Subjects Designs Randomization
2.1 Randomization and Local Control
2.2 Completely Randomized Designs
2.3 Restrictedly Randomized Designs: Blocking
2.4 Restrictedly Randomized Designs: Stratifying
2.5 Sequential Assignment and Adaptive Randomization Methods
Chapter 3. Within-Subjects Designs Randomization
3.1 Basic Assumptions and Specific Threats to Validity
3.2 Treatment Design and Methods of Randomization
3.3 Random Counterbalancing
3.4 Positional Counterbalancing
3.5 Nonrestricted Sequential Counterbalancing
3.6 Restricted Sequential Counterbalancing
3.7 Factorial Designs
Chapter 4. Validity Issues, Analysis Guidelines, and Reporting Standards
4.1 Planning and Monitoring Randomized Experiments
4.2 Analyzing Randomized Experiments
4.3 Reporting Randomized Experiments
Appendix 1. Random Numbers
Appendix 2. Permutations, Arrangements, and Combinations
Appendix 3. Latin Squares
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