I've just been running my first ever regression and I'm using R for an
lmer.
I've created two models, a null one (part ~ 1 + (1 | id) + (1 | word)) and
another with a predictor I want to test (part ~ 1 + conf + (1 | id) + (1 |
word)). I've compared them both and the model with a predictor is
significantly better, but I can't see from the data which direction the
prediction goes (i.e. are conf and part inversely correlated or not). Could
somebody tell me where I can find this information? Here's my data, thanks
in advance:
Null Model:
Generalized linear mixed model fit using Laplace
Formula: part ~ 1 + (1 | id) + (1 | word)
Data: align
Family: binomial(logit link)
AIC BIC logLik deviance
537.9 551 -265.9 531.9
Random effects:
Groups Name Variance Std.Dev.
word (Intercept) 2.309122 1.51958
id (Intercept) 0.055252 0.23506
number of obs: 601, groups: word, 32; id, 20
Estimated scale (compare to 1 ) 0.8671394
Fixed effects:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -1.8920 0.3072 -6.158 7.37e-10 ***
---
Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1
Model with predictors:
Generalized linear mixed model fit using Laplace
Formula: part ~ 1 + conf + (1 | id) + (1 | word)
Data: align
Family: binomial(logit link)
AIC BIC logLik deviance
490.1 507.7 -241.1 482.1
Random effects:
Groups Name Variance Std.Dev.
word (Intercept) 2.977549 1.72556
id (Intercept) 0.097771 0.31268
number of obs: 601, groups: word, 32; id, 20
Estimated scale (compare to 1 ) 0.9142627
Fixed effects:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -3.1001 0.4014 -7.724 1.13e-14 ***
conf 1.7941 0.2734 6.563 5.29e-11 ***
---
Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1
Correlation of Fixed Effects:
(Intr)
conf -0.505
ANOVA:
Data: align
Models:
align.nul: part ~ 1 + (1 | id) + (1 | word)
align.conf: part ~ 1 + conf + (1 | id) + (1 | word)
Df AIC BIC logLik Chisq Chi Df Pr(>Chisq)
align.nul 3 537.85 551.05 -265.93
align.conf 4 490.14 507.73 -241.07 49.713 1 1.780e-12 ***
---
Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1
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