Experimental Design
Procedures for the Behavioral Sciences
Fourth Edition
If you’re in the Americas, please visit our Sage College Publishing website to purchase or sample this book:
Go to College Publishing WebsiteDescription
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
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
Reviews
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:
Generally, a very well written and understandable book. However, with it's depth and thoroughness it is more suited for academics and possibly doctoral students with an interest in methods than M.Sc. student. Unfortunately, for them it will likely not fit their level and their expectancies (e.g., they prefer to not have formulas or calculations).
Dr Sebastian Jentschke, Department of Psychosocial Science , Bergen University
I draw on this text as a key teaching resource, and reference for my students, because of the very thorough review of the variety of quantitative designs, and the best overview (in Chapter 1) that I've been able to find on the elements of a quantitative research study.
Dr Tami Moore, School Of Educational Studies, Oklahoma State University
One of the best in experimental design, but may be it's complicated for undergards
Mr Mahmoud Ismael, Faculty of Pharmacy, Assiut University
I think I hadn't properly realised the scope and depth of the book which was far more specialist than I require. I could not use this with my undergraduates and realise I need a more introductory text on the subject.
Dr Abbe Brady, School of Sport & Leisure, Gloucestershire Univ.
Still not decided.
Dr Bal Barot, Science, Lake Michigan Clg-Napier Ave