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Random Factors in ANOVA
- Sally Jackson - University of Illinois at Urbana Champaign, USA, University of Nebraska, Lincoln, USA, Michigan State Unversity, Oklahoma University, USA, University of Arizona, USA
- Dale E. Brashers - The Ohio State University, Columbus, OH, USA
Volume:
98
December 1993 | 80 pages | SAGE Publications, Inc
"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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Fixed and Random Factors
Designs With Random Factors
Statistical Analysis
Statistical Assumptions
Interpretation
Statistical Power
Computer-Assisted Analysis of Designs With Random Factors
Conclusion
