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    Home / Central Data Catalog / NGA_2017_TDPITCIE-EL_V01_M
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Teacher Development Programme In-Service Training Impact Evaluation 2017

Nigeria, 2017
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Reference ID
NGA_2017_TDPITCIE-EL_v01_M
Producer(s)
Oxford Policy Management Ltd
Metadata
DDI/XML JSON
Created on
Mar 29, 2019
Last modified
Mar 29, 2019
Page views
48037
  • Study Description
  • Data Dictionary
  • Get Microdata
  • Data files
  • el_v2_1_school
  • el_v2_1_teacher
  • el_v2_1_pupil
  • el_v2_1_lesson
  • el_v2_1_roster
  • el_v2_1_attendance

Data file: el_v2_1_teacher

This file contains data at the teacher level and corresponds to the TDP IE endline teacher interview (TI) and teacher development needs assessment (TDNA) instruments. It also contains some variables required for weighting the data. Refer to the Weighting sub-section in the Sampling section of this documentation for a description of the weighting procedure and refer to the technical document 'Quantitative Analysis: Samples, Weights and Survey Settings' provided under Related Materials for details over which weight variables, sample identification variables and survey settings to use for each level/type of analysis.

Some variables from the questionnaire have been excluded from this dataset for confidentiality and other purposes. See 'List of Variables Excluded from Endline Survey Datasets' in Technical documents for a list of these variables and reasons why they were excluded.

The dataset includes a record for every teacher that was interviewed at baseline (and who was supposed to be interviewed at endline) and the outcome of the interview at endline as well as the reason why a teacher was not interviewed (no longer employed at school, not available on the day of the survey, etc.). The teachers are assigned an ID from 2 to 4, and they can be matched to the teacher IDs in the baseline datasets (using the school_id and teacher_id variables).

The dataset also includes the TDNA data for all teachers and head teachers who were successfully administered the TDNA at endline. All head teachers have a teacher_id=1. Data from the first and second versions of the TDNA instrument are both included in the dataset (refer to the Description of Scope sub-section under the Scope section in this documentation for more details on why a second version of the TDNA was developed and administered in the last weeks of fieldwork). The variable 't_type' in the dataset identifies which observations correspond to the first version and which correspond to the second version. Note that the TDNA variables in the dataset are not the answers that the teachers provided but rather they are the points that they got for each answer that was assessed by the data collection team during the marking stage (refer to the 'Teacher Development Needs Assessment Mark Scheme' and 'Teacher Development Needs Assessment Mark Scheme - Altered Version' provided under Questionnaires for an explanation of the marking scheme). Also included are some constructed indicators for teacher TDNA scores (prefixed by n_).

Names of districts, schools, teachers and pupils have been removed in the anonymisation process.

Cases: 1232
Variables: 904

Variables

n_sci_level
Science score bands for TDNA based on mean (%)
n_progress_tdna
Raw Progress TDNA score out of max 25 (questions tw38-tw43)
n_lf_tdna_progress
Logframe indicator: mean TDNA Progress (%)= (n_progress_tdna*100/25)
n_progress_level
Progress score bands for TDNA based on mean (%)
Total: 904
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