Hi João,
That makes sense! I tried what Shadiya suggested but I just got 1 as the
degree of freedom for all of my factors.

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Without degrees of freedom, is there a way to compute effect size?
Thank you,
Simritpal
On Sep 22, 2016 9:30 AM, "João Veríssimo" <jl.veriss...@gmail.com> wrote:
> Hi Simritpal,
>
> The glmer output gives you Z-tests for each estimate. So far as I know,
> these are not associated with degrees of freedom.
>
> Best,
> João
>
> On Wed, 2016-09-21 at 00:51 -0400, Simritpal Malhi wrote:
> > Thanks again Dr. Kingston! Another question - how would you obtain or
> > calculate degrees of freedom for glmer as it is not provided in the
> > output?
> >
> >
> > On Sun, Sep 18, 2016 at 1:54 PM, John Kingston
> > <jkings...@linguist.umass.edu> wrote:
> > Dear Simirtpal,
> >
> > You need to use "glmer" not "lmer" to run such a model.
> >
> > Best,
> > John
> >
> >
> > On 2016-09-18 13:41, Simritpal Malhi wrote:
> > Hello,
> >
> > I am trying to run my error analysis using a logit
> > mixed model. I have
> > installed the lmer test package because I would like
> > to report
> > p-values. I have attached a sample of how my data file
> > is set-up.
> >
> > e$correct <- as.factor(e$correct)
> >
> > erranalysis=lmer(correct~task*concrete
> > +task*embodied+
> >
> > task*symbolic+(1|item)+(1|subject),data=e,
> >
> > family=binomial)
> >
> > I put the dependent variable as "correct" and I added
> > "family=binomial" to specify that the "correct"
> > dependent variable was
> > coded as 1 if the participant had an error and 0 if
> > the participant
> > was correct. However, I am getting the following error
> > message:
> >
> > Error in as(model, "merModLmerTest") : no method or
> >
> > default for coercing “glmerMod” to “merModLmerTes”
> >
> > In addition: Warning messages:
> >
> > 1: In lme4::lmer(formula = correct ~ task * concrete
> > +
> >
> > task * embodied + : calling lmer with 'family' is
> >
> > deprecated; please use glmer() instead
> >
> > 2: In checkConv(attr(opt, "derivs"), opt$par, ctrl =
> >
> > control$checkConv, : Model failed to converge with
> >
> > max|grad| = 0.00205133 (tol= 0.001, component 1)
> >
> > Any help would be appreciated. Thank you for your
> > time.
> >
> >
> >
> >
>
>