Cover: Introduction to Design and Analysis, 2nd Edition by Geoffrey Keppel, University of California, Berkeley; William H. Saufley, University of California, Berkeley; Howard Tokunaga, State University of California, San Jose

Introduction to Design and Analysis

Second Edition  ©1992 Geoffrey Keppel, University of California, Berkeley; William H. Saufley, University of California, Berkeley; Howard Tokunaga, State University of California, San Jose

Authors

  • Headshot of Geoffrey Keppel

    Geoffrey Keppel

    Geoffrey Keppel was Professor Emeritus of psychology at the University of California, Berkeley.  During his 47 years at UC Berkeley, Keppel served as dean of social sciences, chair of the Department of Psychology and director of the Institute of Human Learning. His accolades include a Distinguished Teaching Award in 1993 and, at the time of his retirement in 1994, the prestigious Berkeley Citation.
    Keppel’s research expanded the understanding of what causes humans to forget. Along with his mentors, UC Berkeley psychologist Leo Postman and Northwestern University psychologist Benton Underwood, Keppel demonstrated that forgetting is the result of interference from a variety of sources, including past memories, various aspects of the current memory, and new memories.
     


  • Headshot of William H. Saufley

    William H. Saufley


  • Headshot of Howard Tokunaga

    Howard Tokunaga

Table of Contents

I. Experimental Design and Preliminary Data Analysis
  1. Introduction to Experimental Design
  2. Preliminary Design Analysis
    
II. The Analysis of Single-Factor Experiments
  3. The Logic of Hypothesis Testing
  4. Calculating the F Ratio
  5. Evaluating the F Ratio
  6. Analytical Comparisons in the Single-Factor Design
  7. Estimating Population Means and Effect Size
  8. Errors of Hypothesis Testing and Statistical Power
  9. Introduction to the Analysis of Factorial Experiments
    
III. The Analysis of Factoral Designs
  10. Analytical Comparisons in the Factorial Design
    
IV. The Analysis of Within-Subject Designs
  11. The Single-Factor Within-Subjects Design
  12. The Mixed Within-Subjects Factorial Design
  13. The Two-Factor Within-Subjects Design
    
V. Additional Statistical Procedures
  14. Analysis of Categorical Data
  15. Correlation and Regression
  16. Additional Topics: Nonexperimental Research, Using the Computer, and Areas of Further Study
    
  Appendixes
  Glossary
  References
  Indexes
     

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Introduces undergraduates to the design and statistical analysis of common experiments. Concepts are explained with step-by-step descriptions, worked examples, and an extensive series of exercises. Written for students who meet the standard quantitative prerequisites for entry into most colleges and universities.

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