Summary
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 with Random Factors
Fixed with Random Factors
In the analysis of variance, a distinction is made between fixed and random factors. This distinction turns on the nature of the factor's levels. A fixed factor is one whose levels are chosen to represent the precise contrast (or set of contrasts) of interest in the research. Theoretically ...