Generalized linear mixed model fit by maximum likelihood (Laplace
Approximation) [glmerMod]
Family: binomial ( logit )
Formula: DV ~ sc(FvO) * sc(EvC) + (1 | Code) + (0 + (sc(FvO) * sc(EvC)) |
Code) + (1 | Item)
Data: feminine
Control: glmerControl(optimizer = "bobyqa")
AIC BIC logLik deviance df.resid
879.3 943.6 -427.7 855.3 1558
...
Fixed effects:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -1.0566 1.1485 -0.92 0.35758
sc(FvO) 1.2453 0.3505 3.55 0.00038 ***
sc(EvC) -0.0915 0.3080 -0.30 0.76638
sc(FvO):sc(EvC) 0.0221 0.6321 0.04 0.97207
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Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
...