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Analysis of Variance (ANOVA) and Covariance (ANCOVA)

Karen A. Randolph and Laura L. Myers

in Basic Statistics in Multivariate Analysis

Published in print:
2013
Published Online:
May 2013
ISBN:
9780199764044
eISBN:
9780199332533
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199764044.003.0006
Subject:
Social Work, Research and Evaluation

Chapter 6 provides a description of one-way and two-way Analysis of Variance (ANOVA) and Analysis of Covariance (ANCOVA) statistical procedures. The chapter includes a presentation on the basic ... More


Doing your Statistics in R: Getting Started

Andrew P. Beckerman and Owen L. Petchey

in Getting Started with R: An introduction for biologists

Published in print:
2012
Published Online:
December 2013
ISBN:
9780199601615
eISBN:
9780191774539
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199601615.003.0005
Subject:
Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies

This chapter presents a workflow for implementing and interpreting t-tests, chi-square tests, and general linear models. It begins by looking at how to implement a chi-square contingency table ... More


Multivariate Analysis of Covariance

Patrick Dattalo

in Analysis of Multiple Dependent Variables

Published in print:
2013
Published Online:
May 2013
ISBN:
9780199773596
eISBN:
9780199332564
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199773596.003.0003
Subject:
Social Work, Research and Evaluation

Analysis of covariance (ANCOVA) assesses group differences on a dependent variable (DV) after the effects of one or more covariates are statistically removed. By utilizing the relationship between ... More


Analysis of Covariance: ANCOVA

Andy Hector

in The New Statistics with R: An Introduction for Biologists

Published in print:
2015
Published Online:
March 2015
ISBN:
9780198729051
eISBN:
9780191795855
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198729051.003.0007
Subject:
Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Ecology

ANCOVA of designed experiments combines one categorical and one continuous explanatory variable. Panel plots are usually the best way to graphically display ANCOVA designs with a separate linear ... More


Advancing Your Statistics in R

Andrew P. Beckerman, Dylan Z. Childs, and Owen L. Petchey

in Getting Started with R: An Introduction for Biologists

Published in print:
2017
Published Online:
March 2017
ISBN:
9780198787839
eISBN:
9780191829659
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198787839.003.0006
Subject:
Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies

Taking off from the previous chapter, and following the same workflow, we show you how to make R perform two slightly more complex statistical tests, including the two-way ANOVA and analysis of ... More


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