**CODEBOOK** **observation_df_nov21.csv** *school*: School id *t1teatcher*: Teacher id *obs_id*: Observation id *observer*: Observer id *obs1* to *obs7*: Dummy variables for observers *lssn*: Unit and lesson type *connct*, *prctc*, *applt*: Dummy variables for lesson type *mmg_4_pct* to *synht_4*: Quality of delivery indicators scored from 0 to 1 *z_climate*: Standardized teacher-level students' perception of the learning environment *mmg* to *sy*: Quality of delivery indicators in original metric (1 to 5) *teach_mmg_p*: Teacher average imputed growth-minded messages. *teach_mmg_act*: Teacher average growth-minded messages (no imputation). *teach_synth*: Teacher average overall quality of delivery (no imputation). *teach_fp_p*: Teacher average imputed process feedback. *teach_fp_act*: Teacher average process feedback (no imputation). *teach_saa_p*: Teacher average imputed engagement in activities. *teach_saa_act*: Teacher average engagement in activities (no imputation). *teach_sct_p*: Teacher average imputed engagement in conceptual thinking. *teach_sct_act*: Teacher average engagement in conceptual thinking (no imputation). *idx*: For Year 1 teachers, this is their average overall quality score. For Years 2-4 teachers, this is their average across overall quality and teaching practices. That is, idx is an index that only includes non-missing data for each teacher. *idx2*: Average across overall quality (non-missing) and imputed teaching practices. **Student outcomes datasets** *t1teatcher*: Teacher id *studyid*: Student id *item*: Item name *score*: Item response *time*: 0 = baseline, 1 = endline *idx2*: Quality of delivery index *dose_unit*: Number of units delivered by a teacher (0 to 5)