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Experimental Design

Experimental Design
Procedures for the Behavioral Sciences

Fourth Edition

June 2012 | 1 072 pages | SAGE Publications, Inc
This classic text, with a reputuation for accessibility and readability, has been revised and updated to make learning design concepts even easier. Roger E. Kirk shows how three simple experimental designs can be combined to form a variety of complex designs. He provides diagrams illustrating how subjects are assigned to treatments and treatment combinations. New terms are emphasized in boldface type, there are summaries of the advantages and disadvantages of each design, and real-life examples show how the designs are used.

Chapter 1. Research Strategies and the Control of Nuisance Variables
Chapter 2. Experimental Designs: an Overview
Chapter 3. Fundamental Assumptions in Analysis of Variance
Chapter 4. Completely Randomized Design
Chapter 5. Multiple Comparison Tests
Chapter 6. Trend Analysis
Chapter 7. General Linear Model Approach to ANOVA
Chapter 8. Randomized Block Designs
Chapter 9. Completely Randomized Factorial Design with Two Treatments
Chapter 10. Completely Randomized Factorial Design with Three or More Treatments and Randomized Block Factorial Design
Chapter 11. Hierarchical Designs
Chapter 12. Split-Plot Factorial Design: Design with Group-Treatment Confounding
Chapter 13. Analysis of Covariance
Chapter 14. Latin Square and Related Designs
Chapter 15. Confounded Factorial Designs: Designs with Group-Interaction Confounding
Chapter 16. Fractional Factorial Designs: Designs with Treatment-Interaction Confounding

“Kirk is an extraordinarily logical and precise writer. His prose is excellent. I really like the balance between the logic and issues of design and the assumptions and implications of violations in the analysis. The consistent explanation of the parameters of the model equation and the sample estimators of the parameters is so clear. The advantages and disadvantages sections are wonderful and the diagrams comparing partitioning of variances are elegant.”

Jim Dykes
The University of Texas at San Antonio

“This is the standard for texts in experimental design. It is truly an outstanding resource. The expansive coverage of the full range of designs and all their complexities make it extremely valuable. The extensive updating throughout this edition will be a great asset for instructors. The general conceptual approach taken in the building block approach to designs is very helpful to graduate students studying the concepts for the first or second time. I have always thought the examples in this book are clear and well developed, truly ideal. I appreciate the many new exercises for students in this new edition, as well.”

Dale R. Fuqua
Oklahoma State University

“The book is thorough in integrating important topical areas dealing with statistical power and effect size estimation within the chapters covering a particular design and analysis issue.”

William P. Neace
University of Hartford

“This is still the best available textbook on experimental research.”

Lihshing Leigh Wang
University of Cincinnati

“The combination of topic coverage and organization, depth of coverage, and clarity of writing are what keeps me using this text year after year."

James L. Wardrop
University of Illinois at Urbana-Champaign

“I like the examples given to solidify important points, and how in some spots the author clearly spells out concepts for the reader. I like how it would be easy to quickly grab this text and look up issues of determining effect size and acceptable levels without doing much digging, and how the advantages and disadvantages of certain designs are clearly identified. I also like that he includes references from the updated APA manual. It is nice to see that kind of consistency.”

Jessica M. Nicklin
University of Hartford

“Professor Kirk continues, with this Fourth Edition, to maintain his high standards of clarity and scholarship. Many important designs and analyses for behavioral researchers are succinctly and lucidly presented. It is written at such a level as to be beneficial for the graduate student and yet does not sacrifice conceptual/technical issues (esp. by explicating and utilizing the GLM approach). This makes this edition not only a very good textbook but also an exceptional reference book.”

Charles A. Dill
Hofstra Universiy

“Kirk has very useful chapters for addressing complicated designs. Addressing confounded and fractional designs can seem a bit arcane to students, but knowing how to use them can help researchers to either avoid them or recognize situations in which they are used.”

Amy Lynne Shelton
The Johns Hopkins University

“The materials are logically and well organized. The layout of these materials is from lower level to higher level; and from basic conceptual interpretation to complicated computational procedures and experimental designs.”

Dabae Lee
Indiana University

“I would really like to see students think of this book the way I do—like an old friend that I would NEVER be without.”

Valerie L. Shalin
Wright State University
Key features

New to the Fourth Edition

  • Includes recommendations on how to report statistical results from the Publication Manual of the American Psychological Association
  • Reorganizes the sequence of chapters so that topics that are likely to be covered in a one-semester course appear in the first half of the book
  • Provides expanded coverage of key areas including exploratory data analysis, measures of practical significance, determination of sample size and power, and one degree-of-freedom measures
  • Describes the latest advances in multiple comparisons along with recommendations for the use of each procedure
  • Improves the procedures for testing the tenability of assumptions in analysis of variance, helping students get to grips with these procedures
  • Demonstrates the flexibility of the cell means model for analyzing data with missing observations and missing cells

Key Features

  • Provides thorough coverage of all the experimental designs that are used in the behavioral and social sciences, making this a must-have, one-stop reference book
  • Includes up-to-date coverage of 16 multiple comparison procedures together with recommendations for the use of each procedure
  • Provides easy to follow computational examples for each experimental design, helping students understand how to analyze the different designs
  • Offers extensive discussion of effect size, sample size determination, and computation of power, making these difficult topics accessible to students
  • Describes and compares the merits of the different models—classical experimental design model, regression model, and cell means model—helping students select the best approach for analyzing data

Sample Materials & Chapters


ch 1 & 2

ch 4

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