Random Factors in ANOVA

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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

Series:
Quantitative Applications in the Social Sciences

Other Titles in:
Quantitative/Statistical Research (General)

February 1994 | 80 pages | SAGE Publications, Inc

Description
Contents

When using the analysis of variance (ANOVA) in an experimental design, how can the researcher determine whether to treat a factor as fixed or random? This book provides the reader with the criteria to make the distinction between fixed and random levels among factors, an important decision that directly reflects the purpose of the research. In addition to exploring the varied roles random factors can play in social research, the authors provide a discussion of the statistical analyses required with random factors and give an overview of computer-assisted analysis of random factor designs using SAS and SPSSX.

Fixed and Random Factors

Designs With Random Factors

Statistical Analysis

Statistical Assumptions

Interpretation

Statistical Power

Computer-Assisted Analysis of Designs With Random Factors

Conclusion

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