[R-sig-ME] Replicating type III anova tests for glmer/GLMM

Fox, John jfox at mcmaster.ca
Tue Feb 23 14:30:28 CET 2016

Dear Francesco,

The Anova() function in the car package might do what you want. See ?Anova. "Effect coding" in R is implemented by contr.sum().

I hope this helps,

John Fox, Professor
McMaster University
Hamilton, Ontario
Canada L8S 4M4
web: socserv.mcmaster.ca/jfox

From: R-sig-mixed-models [r-sig-mixed-models-bounces at r-project.org] on behalf of Francesco Romano [francescobryanromano at gmail.com]
Sent: February 22, 2016 8:12 PM
To: r-sig-mixed-models at r-project.org
Subject: [R-sig-ME] Replicating type III anova tests for glmer/GLMM

Dear all,

I'm trying to report my analysis replicating the method in the following

Cai, Pickering, and Branigan (2012). Mapping concepts to syntax: Evidence
from structural priming in Mandarin Chinese. Journal of Memory and Language 66
(2012) 833–849. (looking at pg. 842, "Combined analysis of Experiments 1
and 2" section)

Filiaci, Sorace, and Carreiras (2013). Anaphoric biases of null and overt
subjects in Italian and Spanish: a cross-linguistic comparison. Language,
Cognition, and Neuroscience  DOI:10.1080/01690965.2013.801502  (looking at
pg.11, first two paragraphs)

This is because I have a glmer model with three fixed effects, two random
intercepts modeling a binary outcome, exactly as in the articles mentioned.

The difficulty I'm finding is with locating information on commands
generating coefficients, SE, z, and p values (e.g. maximum likelihood
(Laplace Approximation)) to report main effects and interactions with the
anova or afex:mixed commands, following application of effect coding. I
have looked in several places, including Ben Bolker's FAQ
http://glmm.wikidot.com/faq and past posts on the topic in this r-sig.
Although there appears to be a plethora of material for lmer, I can't seem
to locate anything in the right direction for glmer.

Many thanks for any help.

Frank Romano Ph.D.



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