<p>Mixed model of the likelihood of a DO response in different verb bias conditions.</p
<p>The fixed parameter values returned by the mixed-effect model and their significance.</p
<p>Frequency of responses to yes/no and encoding bias questions across experiments.</p
<p>The GSAMs fitted with different models according to the likelihood method.</p
Parameter estimates for mixed-effects models for eye-movements measures on the participle.</p
Results of mixed logistic models testing effect of gender ratio on likelihood of asking question.</p
Parameter estimates for mixed-effects models for eye-movements measures at the participle.</p
<p>Comparison of models to predict detection probability across trigger type and target variables.</...
Parameter estimates for mixed-effects models for eye-movements measures at the noun preceding the pa...
Probabilities of both maximum likelihood estimates for the mean use of the novel preposition variant...
Parameter estimates for mixed-effects models for eye-movements measures at the noun preceding the pa...
Model comparison between logistic regression and mixed effect logistic regression.</p
Model comparison between logistic regression and mixed effect Logistic regression.</p
<p>Mixed model analysis of the personality traits showing individual consistency.</p
Linear mixed model fit by maximum likelihood of the fixed and random effects of Model 4i.</p
Logistic mixed-effect models for single predictors (excluding function words).</p
<p>The fixed parameter values returned by the mixed-effect model and their significance.</p
<p>Frequency of responses to yes/no and encoding bias questions across experiments.</p
<p>The GSAMs fitted with different models according to the likelihood method.</p
Parameter estimates for mixed-effects models for eye-movements measures on the participle.</p
Results of mixed logistic models testing effect of gender ratio on likelihood of asking question.</p
Parameter estimates for mixed-effects models for eye-movements measures at the participle.</p
<p>Comparison of models to predict detection probability across trigger type and target variables.</...
Parameter estimates for mixed-effects models for eye-movements measures at the noun preceding the pa...
Probabilities of both maximum likelihood estimates for the mean use of the novel preposition variant...
Parameter estimates for mixed-effects models for eye-movements measures at the noun preceding the pa...
Model comparison between logistic regression and mixed effect logistic regression.</p
Model comparison between logistic regression and mixed effect Logistic regression.</p
<p>Mixed model analysis of the personality traits showing individual consistency.</p
Linear mixed model fit by maximum likelihood of the fixed and random effects of Model 4i.</p
Logistic mixed-effect models for single predictors (excluding function words).</p
<p>The fixed parameter values returned by the mixed-effect model and their significance.</p
<p>Frequency of responses to yes/no and encoding bias questions across experiments.</p
<p>The GSAMs fitted with different models according to the likelihood method.</p