Transcription of Repeated Measures and Nested Analysis of Variance
{{id}} {{{paragraph}}}
Example: tourism industry
Repeated Measures and Nested Analysis of Variance
Repeated Measures and Nested Analysis of Variance An Outline of the Sources of Variation, Degrees of Freedom, Expected Mean Squares, and F - Ratios For Several Fixed, Random, and Mixed Effects Models Notation The following pages outline the sources of variation, degrees of freedom, expected mean squares, and F - ratios for several different ANOVA designs under fixed, random, and mixed effects models. Note that the expected mean squares are comprised often of several sources of variation. The within cell, residual, or error variation in represented as 2e , and is the only expected mean square comprised of a single term. Under the fixed effects model, most of the expected mean squares consist of a sum of 2e and the Variance associated with that particular source of variation. However, under the random and the mixed effects models many of the expected mean squares consist of a sum of several terms.
because of the sampling variation associated with choosing a subset of factor levels. Therefore, one must contrive a combination of mean squares that will isolate the source
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
Related search queries
Bian Office for Faculty Excellence, Repeated Measures, Repeated Measures Analysis, REPEATED MEASURES ANOVA, Analysis, SAS Output for Repeated Measures, Factor Repeated Measure ANOVA, Use of Repeated Measures Analysis of, SPSS INSTRUCTION CHAPTER 9, SPSS INSTRUCTION – CHAPTER 9, REPEATED, Measures, Repeated Measures 1 Running head, Repeated Measures Design, Repeated Measures Analysis of Variance, REPEATED-MEASURES ANOVA REPEATED MEASURES ANOVA