It is apparent that a model with only cue still has an acceptable fit (e.g., its cross-validated R 2 is 0.75) which reflects its large effect size (2.02); adding random effects moderately improves the fit; adding all the predictors provides an additional small improvement in fit, which is highly significant.
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