For the first half of class today, we have covered topics such as:

1. Fixed effects and random effects
2. Interpretation of outputs in Mplus and R
3. Different types of centering predictors in multilevel models
4. Calculating difference in variance (i.e., Pseudo-R2) and the nuances of these approaches

Please share a piece of knowledge you found interesting or surprising from today's class!