Two-Way Analysis of Variance / SpringerBriefs in Statistics (PDF)
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In statistics, analysis of variance (ANOVA) is a collection of statistical models used to distinguish between an observed variance in a particular variable and its component parts. In its simplest form, ANOVA provides a statistical test of whether or not the means of several groups are all equal, and therefore generalizes a test between these groups. One test often used by statisticians and researchers in their work is the Two-Way ANOVA, which determines the differences--and possible interactions--when variables are presented from the perspective of two or more categories. When a Two-Way ANOVA is implemented, it enables one to compare and contrast variables resulting from independent or joint actions. This brief provides guidance on how R can be used to facilitate Two-Way ANOVA for data analysis and graphical presentation. Along with instruction on the use of R and R syntax associated with Two-Way ANOVA, this brief will also reinforce the use of descriptive statistics and graphical figures to complement outcomes from parametric Two-Way ANOVA.
Senior Research Associate and Associate Professor
Nova Southeastern University Office of Institutional Effectiveness
Fort Lauderdale, FL 33314 tommac@nova.edu
- Autor: Thomas W. MacFarland
- 2011, 2012, 150 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 1461421349
- ISBN-13: 9781461421344
- Erscheinungsdatum: 10.12.2011
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- Größe: 0.74 MB
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