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    Home / Central Data Catalog / TZA_2014_EQUIPIE-BL_V03_M / variable [F8]
central

Education Quality Improvement Programme Impact Evaluation Baseline Survey 2014-2015

Tanzania, 2014 - 2015
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Reference ID
TZA_2014_EQUIPIE-BL_v03_M
Producer(s)
Oxford Policy Management Ltd
Metadata
DDI/XML JSON
Created on
Jul 07, 2015
Last modified
Mar 29, 2019
Page views
65083
Downloads
2144
  • Study Description
  • Data Dictionary
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  • Data files
  • bl_v2_2_lesson
  • bl_v2_2_school
  • bl_v2_2_teacher
  • bl_v2_3_pupil

s01 q00a: Teacher roster code (hc_teacherhc_id)

Data file: bl_v2_2_teacher

Overview

Valid: 1897
Invalid: 248
Minimum: -9
Maximum: 38
Type: Discrete
Decimal: 0
Start: 114
End: 115
Width: 2
Range: -9 - 38
Format: Numeric

Questions and instructions

Question pretext
Arrive at the school at 7.15am or earlier, this is at least 15 minutes before school parade starts. If you arrive after the school has already started, postpone this observation until the next day unless there are no teachers present when you arrive. As each staff member arrives, find out if he or she is a teacher. Record the name and arrival time of all the teachers in the table below (answer Q1 and Q2). Stop observing the arrival of teachers at 8.15am, this is 15 minutes after timetabled lessons start (or stop if all teachers are present).

Teacher roster code
Categories
Value Category Cases
-9 Missing 125
6.6%
1 197
10.4%
2 194
10.2%
3 195
10.3%
4 189
10%
5 181
9.5%
6 160
8.4%
7 133
7%
8 103
5.4%
9 78
4.1%
10 64
3.4%
11 53
2.8%
12 42
2.2%
13 31
1.6%
14 27
1.4%
15 20
1.1%
16 19
1%
17 12
0.6%
18 10
0.5%
19 9
0.5%
20 9
0.5%
21 8
0.4%
22 7
0.4%
23 5
0.3%
24 5
0.3%
25 5
0.3%
26 4
0.2%
27 3
0.2%
28 1
0.1%
30 1
0.1%
31 1
0.1%
32 1
0.1%
34 1
0.1%
35 1
0.1%
36 1
0.1%
37 1
0.1%
38 1
0.1%
Sysmiss 248
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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