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    Home / Central Data Catalog / SIEF / GHA_2015_QPIE-BL_V01_M / variable [F2]
sief

Quality for Preschool Impact Evaluation 2015, Baseline Survey

Ghana, 2015
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Reference ID
GHA_2015_QPIE-BL_v01_M
DOI
https://doi.org/10.48529/yhxz-b019
Producer(s)
Sharon Wolf, John Lawrence Aber, Jere Behrman
Collection(s)
The Strategic Impact Evaluation Fund (SIEF) Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 26, 2019
Last modified
Mar 26, 2019
Page views
78692
Downloads
8188
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  • Data files
  • De-identified_Caregiver
  • De-identified_Head_Teacher_Survey
  • De-identified_IDELA
  • De-identified_KG_Teacher_Survey
  • De-identified_Proprietor_Survey

E10.16. Other (Please specify) (e10_16)

Data file: De-identified_Head_Teacher_Survey

Overview

Valid: 60
Invalid: 0
Type: Discrete
Start: 1695
End: 1780
Width: 86
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
-888 1
1.7%
00 1
1.7%
1 7
11.7%
1 bundle Roofing sheets 1
1.7%
1 computer, 1fan 1
1.7%
1 each 1
1.7%
1 polytank 1
1.7%
1. 1 2. 8 3. KG, Primary & JHS 1
1.7%
1. 20 2. 50 pieces 1
1.7%
10 boxes 1
1.7%
10 sets in bags 1
1.7%
10 sheets 1
1.7%
100 1
1.7%
100 spoons, 100 plates, 25 cups, 4 postal colours, manila cards 20, 100 paint brushes 1
1.7%
11 catons 1
1.7%
2 3
5%
20 1
1.7%
24 laptops 1
1.7%
25 1
1.7%
3 4
6.7%
30 1
1.7%
30 boxes 1
1.7%
31 1
1.7%
4 3
5%
4 dustbins, 4 water containers 1
1.7%
40 1
1.7%
400 1
1.7%
41 1
1.7%
5 1
1.7%
5 sacks 1
1.7%
50 1
1.7%
50 story books 40 and science material 10 1
1.7%
50 & 100 1
1.7%
50 pieces 1
1.7%
6 2
3.3%
6 Paint and 2 curtains 1
1.7%
60 pieces of roofing sheets and 4 pack of toilet roll 1
1.7%
Beverage was prepared for every student & Indomie cooked for them 1
1.7%
Computers worth 20000 ghost cedis 1
1.7%
Four class rooms 1
1.7%
One pack of roofing sheets and burglar proofs for all back windows. 1
1.7%
Play slide 1
1.7%
Rice,and some drinks 1
1.7%
School bus 1
1.7%
Story books 1
1.7%
Toys but don't know the quantity 1
1.7%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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