> model <- glmer(cat_SNB_new ~ 0 + Condition_SNB * nativelang_SNB - 1+ (1 | subject_SNB), + data = s_complete, family = binomial) Warning message: In checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, : Model failed to converge with max|grad| = 0.00334429 (tol = 0.002, component 1) why it did not work? please fix this

# Modeling - Mixed Effects

In this section we will try to predict whether a participant was classified as a native speaker of Dutch or English.

## Predicting Participant Native Language

> model <- glmer(cat_SNB_new ~ 0 + Condition_SNB * nativelang_SNB - 1+ (1 | subject_SNB), 
+                data = s_complete, family = binomial)

> summary(model)

> anova(model)

> model_interactions <- glmer(cat_SNB_new ~ 0 + Condition_SNB * nativelang_SNB + (1 | subject_SNB), 
+                data = s_complete, family = binomial)

> summary(model_interactions)

> anova(model_interactions)

## Model Fitting Diagnostics

> x <- cbind(s_complete$cat_SNB_new, s_complete$subject_SNB)

> x <- cbind(s_complete$cat_SNB_new, s_complete$subject_SNB)