Year: 2014
Type: preprint
Abstract: Traditional analysis of variance (ANOVA) software allows researchers to test for the significance of main effects in the presence of interactions without exposure to the details of how the software encodes main effects and interactions to make these tests possible. Now that increasing numbers of researchers are using more general regression software, including mixed-effects models, to supplant the traditional uses of ANOVA software, conducting such tests generally requires greater knowledge of how to parameterize one's statistical models appropriately. Here I present information on how to conduct such tests using R, including relevant background information and worked examples.
Source: arXiv (Cornell University)
Author: Levy, Roger
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2182772004