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

[Ben Bolker]

   And don't forget car::contr.Sum(), which is just the same as 
contr.sum from base R but provides saner contrast names ...


On 16-02-23 08:30 AM, Fox, John wrote:
> 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
>
> ----------------------------- 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 papers:
>
> 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.
>
> *LinkedIn*
> https://it.linkedin.com/pub/francesco-bryan-romano/33/1/162
>
> *Academia.edu* https://sheffield.academia.edu/FrancescoRomano
>
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