Two-Way Analysis of Variance
Statistical Tests and Graphics Using R
Seiten
2011
|
2012 ed.
Springer-Verlag New York Inc.
978-1-4614-2133-7 (ISBN)
Springer-Verlag New York Inc.
978-1-4614-2133-7 (ISBN)
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 graphicalfigures to complement outcomes from parametric Two-Way ANOVA.
Thomas W. MacFarland Senior Research Associate and Associate Professor Nova Southeastern University Office of Institutional Effectiveness Fort Lauderdale, FL 33314 tommac@nova.edu
1. Introduction.2. Data Import or Data Entry3. Data Organization4. Display the Code Book5. Conduct a Visual Data Check6. Descriptive Analysis of the Data.
| Reihe/Serie | SpringerBriefs in Statistics |
|---|---|
| Zusatzinfo | 2 Illustrations, color; 1 Illustrations, black and white; VII, 150 p. 3 illus., 2 illus. in color. |
| Verlagsort | New York, NY |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik |
| Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung | |
| Schlagworte | Analysis of Variance • Density Plot • Multiple Comparisons • R Functions • Statistics |
| ISBN-10 | 1-4614-2133-0 / 1461421330 |
| ISBN-13 | 978-1-4614-2133-7 / 9781461421337 |
| Zustand | Neuware |
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