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    Home / Central Data Catalog / IND_2015-2017_NEITMGPS-IE_V01_M / variable [F1]
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Nonfinancial Extrinsic and Intrinsic Teacher Motivation in Government and Private Schools 2015-2017, Impact Evaluation Surveys

India, 2015 - 2017
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Reference ID
IND_2015-2017_NEITMGPS-IE_v01_M
Producer(s)
Andrew Faker, Neil Buddy Shah, Ronald Abraham, Sangeeta Dey, Sangeeta Goyal, Lant Prichett
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Oct 12, 2023
Last modified
Oct 12, 2023
Page views
8847
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561
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • bl_classroom_obs_all_data.dta
  • bl_flanders_all_data.dta
  • bl_schoolclusterdataset.dta
  • bl_student_testing_all_data.dta
  • bl_teacherdataset.dta
  • bl_teachermotivation_data.dta
  • ddistirendlineclassroomobs.dta
  • ddistirendlineclassroomscan.dta
  • ddistirendlinestudenttesting.dta
  • ddistirendlineteachermotivation.dta
  • ddistirmidlineclassroomobs.dta
  • ddistirmidlineclassroomscan.dta
  • ddistirmidlinefacilityassesment.dta
  • ddistirmidlineobservedattendance.dta
  • ddistirmidlinestudenttesting.dta.dta
  • ddistirmidlineteachermotivation.dta
  • ddistirschooltreatmentassignment.dta
  • ddistirstudentmapping.dta
  • ddistirteachermapping.dta

Number of students engaged in silent work during this observation (silentWork)

Data file: bl_classroom_obs_all_data.dta

Overview

Valid: 4752
Invalid: -
Minimum: 0
Maximum: 56
Type: Discrete
Decimal: 0
Start: 141
End: 142
Width: 2
Range: 0 - 56
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 2483
52.3%
1 304
6.4%
2 315
6.6%
3 196
4.1%
4 183
3.9%
5 205
4.3%
6 118
2.5%
7 96
2%
8 91
1.9%
9 60
1.3%
10 91
1.9%
11 50
1.1%
12 58
1.2%
13 45
0.9%
14 41
0.9%
15 67
1.4%
16 36
0.8%
17 24
0.5%
18 27
0.6%
19 28
0.6%
20 37
0.8%
21 22
0.5%
22 24
0.5%
23 22
0.5%
24 15
0.3%
25 22
0.5%
26 10
0.2%
27 8
0.2%
28 16
0.3%
29 3
0.1%
30 9
0.2%
31 4
0.1%
32 8
0.2%
33 6
0.1%
34 3
0.1%
35 4
0.1%
36 6
0.1%
37 2
0%
38 2
0%
40 3
0.1%
42 4
0.1%
51 1
0%
54 1
0%
56 2
0%
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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