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  3. Hierarchical and Mixed Effects Models in R

Exercise

Building the school model

You will now built a model to examine what factors predict a student's gain in math knowledge. As described in the video, you will build a model to see:

  1. Does the sex of a student impact their knowledge gain?
  2. Does the teacher's training impact the gain and does the teacher's math knowledge impact the gain?

As part of this model, you will also account for other possible predictors including:

  • Does a student's math knowledge in kindergarten impact their gain?
  • Does a school's socio-economic status impact student gains?

Instructions

100 XP
  • Using the student_data, build a model and save the output as lmer_classroom
  • Have mathgain predicted by mathknow, mathprep, sex, mathkind and ses as fixed-effects
  • Include classid as a random-effect.
  • Print the model's output.