Experimental Design

Procedures for the Behavioral Sciences
Fourth Edition
Experimental Design
June 2012 | 1072 pages | Sage US
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Description

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.

Contents

Chapter 1. Research Strategies and the Control of Nuisance Variables

Chapter 1. Research Strategies and the Control of Nuisance Variables

Chapter 2. Experimental Designs: an Overview

Chapter 2. Experimental Designs: an Overview

Chapter 3. Fundamental Assumptions in Analysis of Variance

Chapter 3. Fundamental Assumptions in Analysis of Variance

Chapter 4. Completely Randomized Design

Chapter 4. Completely Randomized Design

Chapter 5. Multiple Comparison Tests

Chapter 5. Multiple Comparison Tests

Chapter 6. Trend Analysis

Chapter 6. Trend Analysis

Chapter 7. General Linear Model Approach to ANOVA

Chapter 7. General Linear Model Approach to ANOVA

Chapter 8. Randomized Block Designs

Chapter 8. Randomized Block Designs

Chapter 9. Completely Randomized Factorial Design with Two Treatments

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 10. Completely Randomized Factorial Design with Three or More Treatments and Randomized Block Factorial Design

Chapter 11. Hierarchical Designs

Chapter 11. Hierarchical Designs

Chapter 12. Split-Plot Factorial Design: Design with Group-Treatment Confounding

Chapter 12. Split-Plot Factorial Design: Design with Group-Treatment Confounding

Chapter 13. Analysis of Covariance

Chapter 13. Analysis of Covariance

Chapter 14. Latin Square and Related Designs

Chapter 14. Latin Square and Related Designs

Chapter 15. Confounded Factorial Designs: Designs with Group-Interaction Confounding

Chapter 15. Confounded Factorial Designs: Designs with Group-Interaction Confounding

Chapter 16. Fractional Factorial Designs: Designs with Treatment-Interaction Confounding

Chapter 16. Fractional Factorial Designs: Designs with Treatment-Interaction Confounding

Additional materials

Description

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.

Contents

Chapter 1. Research Strategies and the Control of Nuisance Variables

Chapter 1. Research Strategies and the Control of Nuisance Variables

Chapter 2. Experimental Designs: an Overview

Chapter 2. Experimental Designs: an Overview

Chapter 3. Fundamental Assumptions in Analysis of Variance

Chapter 3. Fundamental Assumptions in Analysis of Variance

Chapter 4. Completely Randomized Design

Chapter 4. Completely Randomized Design

Chapter 5. Multiple Comparison Tests

Chapter 5. Multiple Comparison Tests

Chapter 6. Trend Analysis

Chapter 6. Trend Analysis

Chapter 7. General Linear Model Approach to ANOVA

Chapter 7. General Linear Model Approach to ANOVA

Chapter 8. Randomized Block Designs

Chapter 8. Randomized Block Designs

Chapter 9. Completely Randomized Factorial Design with Two Treatments

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 10. Completely Randomized Factorial Design with Three or More Treatments and Randomized Block Factorial Design

Chapter 11. Hierarchical Designs

Chapter 11. Hierarchical Designs

Chapter 12. Split-Plot Factorial Design: Design with Group-Treatment Confounding

Chapter 12. Split-Plot Factorial Design: Design with Group-Treatment Confounding

Chapter 13. Analysis of Covariance

Chapter 13. Analysis of Covariance

Chapter 14. Latin Square and Related Designs

Chapter 14. Latin Square and Related Designs

Chapter 15. Confounded Factorial Designs: Designs with Group-Interaction Confounding

Chapter 15. Confounded Factorial Designs: Designs with Group-Interaction Confounding

Chapter 16. Fractional Factorial Designs: Designs with Treatment-Interaction Confounding

Chapter 16. Fractional Factorial Designs: Designs with Treatment-Interaction Confounding

Additional materials

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Experimental Design

Procedures for the Behavioral Sciences


June 2012 | 1072 pages | Sage US

Format Published Date ISBN Price

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.


Table Of Contents:

  • 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

Recent Product Reviews:

“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

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