Random Factors in ANOVA
eBook - PDF

Random Factors in ANOVA

  1. 75 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Random Factors in ANOVA

About this book

The authors clearly explicate random-effectss analysis of variance (ANOVA) through several well-chosen real-life examples. . . . this is a neat little book. . . --Dayanand N. Naik in Technometrics "The authors offer a motivating discussion of research circumstances for which random factors may be particularly suitable, and they define random factors more broadly and pragmatically than the traditional definition does on the basis of pure statistical sampling. . . . Random Factors in ANOVA will also probably be particularly useful to students who are not terribly quantitative in orientation, because much of it strives to explain intuitively and verbally the relevant issues." --Journal of Marketing Research When and why are random factors other than subjects used? How do you decide whether a factor is fixed or random? Through the use of examples from management, education, political science, and psychology, Jackson and Brashers show the reader how to determine if a factor is random or fixed and how to deal in an analysis of variance (ANOVA) with random factors. In addition, they explore ways to incorporate random factors into an experimental design with other factors and discuss ways to adapt SAS and SPSSX for analyzing designs with random factors.

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Yes, you can access Random Factors in ANOVA by Sally Jackson,Dale E. Brashers in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Contents
  3. Series Editor's Introduction
  4. Preface
  5. Chapter 1 - Fixed and Random Factors
  6. When Should a Factor be Considered Random?
  7. What Happens if Factors Are Misclassified as Fixed?
  8. Chapter 2 - Designs With Random Factors
  9. Nesting and Crossing
  10. Chapter 3 - Statistical Analysis
  11. Expected Mean Squares
  12. Computation of Variance Estimates
  13. Choice of Test Statistics
  14. Quasi F Tests
  15. Chapter 4 - Statistical Assumptions
  16. Chapter 5 - Interpretation
  17. Chapter 6 - Statistical Power
  18. Chapter 7 - Computer-Assisted Analysis of Designs With Random Factors
  19. SAS Procedures for Designs With Random Factors
  20. SPSSX Procedures for Designs With Random Factors
  21. Other Considerations: Simplified Analysis
  22. Computer-Assisted Power Analysis
  23. Chapter 8 - Conclusion
  24. Notes
  25. References
  26. About the Authors