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Experimental Design
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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

This classic book now improved is essential for a doctorate or master student who wants to carry out thorough investigations.

Dr Moises Betancort
Methodology, La Laguna University
October 10, 2013

Excellent! The bible of experimental research.

Dr Pavlos Vlachos
Deree College, American College of Greece
May 30, 2013

The book is very well written and very useful for practical applications. It is the only book I know of (and I have seen quite a few) that provides such a well-structured description of various experimental designs, and especially of the relations and similarities between them.
My only remark is that, personally, I would have liked to see a more explicit discussion of how to deal with repeated measures.

Mr Dennis Van Gerwen
Biomechanical Engineering, Delft University of Technology
April 19, 2013

The review exercises and summaries at the end of each chapter is very helpful. The book is, however, too advanced for the purposes of the course.

Dr Johanita Burger
Pharmacy, North-West University
March 10, 2013

Excellent book presenting fundamental statistical principals profoundly and in great detail.

Helps stundents to understand background and application of basic and advanced statistical methods.

Tends to be a bit lengthy sometimes - on the other hand this makes it easier to follow.

Dr Andreas Baierl
Department of Statistics and Operations Research, University of Vienna
February 14, 2013

This course is for students in a PsyD program. I think is more appropiate for students in a PhD program. But I will probably use some chapters to complement the course.

Dr Ernesto Rosario-Hernandez
Psychology , Ponce School of Medicine
January 7, 2013

This is the essential reading for all who deal with experimental designs. It is also helpful in statistical consulting.

Dr Marco Lehmann
Psychology , University of Hamburg
November 30, 2012

This book has relevant information for some of the students of my course.
But the content is too difficult for most of the students

Mrs CARMEN JACA
Industrial Management, University of Navarra
November 29, 2012

I have used this book as a graduate student doing experimental research. Now I am a Ph.D. student and I still recommend this book. It is a great resource. But I have to mention that the initial access to this book is quite hard, therefore I would not recommend it for undergraduate students; even graduate students might find it hard to read.

Mr Marc Walterbusch
Accounting and Information Systems, University of Osnabruck
October 9, 2012

The focus and the example of the book does not seem to fully address the existing topics of political science.

Mr HYEONHO HAHM
Political Science Dept, University of Michigan
September 28, 2012
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

toc

ch 1 & 2

ch 4


This title is also available on SAGE Research Methods, the ultimate digital methods library. If your library doesn’t have access, ask your librarian to start a trial.