| Data file |
Cases |
Variables |
|
bl_v2_1_ht
This file contains data at the school (Head Teacher) level and corresponds to the Head Teacher Interview instrument. It contains the treatment status variable, and two constructed indicators prefixed by n_ which are included to save data users time (but could be generated by data users if preferred).
Names of LGAs, schools, and Head Teachers have been removed in the anonymisation process.
|
330 |
511 |
|
bl_v2_1_ti
This file contains data at the teacher level and corresponds to the Teacher Interview instrument. It also contains sampling and treatment status variables, and one constructed indicator prefixed by n_ which is included to save data users time (but could be generated by data users if preferred).
Names of LGAs, schools, and teachers have been removed in the anonymisation process.
|
908 |
205 |
|
bl_v2_1_htt_all
As stated earlier in the 'Sampling-Weighting' section, further data-files have been compiled for analysis appending data for Head Teachers and teachers, using variables common to both the Head Teacher and Teacher Interview instruments. This data-file includes ALL Head Teachers and teachers.
The appropriate sampling variables are included, and the variable labels clearly indicate the question numbers from both the Head Teacher and Teacher Interview instruments. The variable names begin with the prefix 'htt' and follow the same numbering as the Head Teacher questionnaire. Please refer to bl_v2_1_ht and to bl_v2_1_ti for the corresponding Pre-question/Literal question/Post-question text.
Names of LGAs, schools, and teachers have been removed in the anonymisation process.
|
1238 |
411 |
|
bl_v2_1_htt_tch
As stated earlier in the 'Sampling-Weighting' section, further data-files have been compiled for analysis appending data for Head Teachers and teachers, using variables common to both the Head Teacher and Teacher Interview instruments. This data-file includes Head Teachers WHO TEACH (as indicated by the variable ht36) and teachers.
The appropriate sampling variables are included, and the variable labels clearly indicate the question numbers from both the Head Teacher and Teacher Interview instruments. The variable names begin with the prefix 'htt' and follow the same numbering as the Head Teacher questionnaire. Please refer to bl_v2_1_ht and to bl_v2_1_ti for the corresponding Pre-question/Literal question/Post-question text.
Names of LGAs, schools, and teachers have been removed in the anonymisation process.
|
1126 |
411 |
|
bl_v2_1_lo
This file contains data at the teacher lesson-observation level and corresponds to the Lesson Observation instrument. It also contains sampling and treatment status variables, and two constructed indicators prefixed by n_ which are included to save data users time (but could be generated by data users if preferred).
Names of LGAs, schools, and teachers have been removed in the anonymisation process.
|
1070 |
69 |
|
bl_v2_1_tdna
This file contains data at the teacher TDNA level. Since there is a requirement to keep item responses from the TDNA instrument confidential until the completion of the impact evaluation, only calculated teacher TDNA scores for Maths, English, Science and Measuring Pupil Progress (prefixed by n_) are included here. Please refer to a detailed explanation of these indicators in the Final Baseline Report (External Resources)
Names of LGAs, schools, and teachers have been removed in the anonymisation process.
|
1158 |
12 |
|
bl_v2_1_pt
This file contains data at the pupil level. Since there is a requirement to keep item responses from the Grade 2 Pupil Assessment instrument confidential until the completion of the impact evaluation, only calculated raw pupil scores and Rasch scaled scores for English literacy, numeracy and scientific literacy (prefixed by n_) are included here. Please refer to a detailed explanation of these indicators in the Final Baseline Report (External Resources).
The data also include basic variables on pupil background such as age, sex and language spoken at home, as well as household ownership of various assets (photos of these assets were shown to the pupils during the pupil assessment in order to gauge ownership). Based on these, an asset index was created using principal component analysis (PCA), the lowest 20% were categorised as “poor” and the top 20% as the “rich” quintile. Indicators for both the asset index and asset index quintiles are included in the data (prefixed by n_).
Names of LGAs, schools, and teachers have been removed in the anonymisation process.
|
2575 |
42 |
