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    Home / Central Data Catalog / SIEF / IND_2015-2017_NEITMGPS-IE_V01_M / variable [F7]
sief

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
DOI
https://doi.org/10.48529/htgg-wb36
Producer(s)
Andrew Faker, Neil Buddy Shah, Ronald Abraham, Sangeeta Dey, Sangeeta Goyal, Lant Prichett
Collection(s)
The Strategic Impact Evaluation Fund (SIEF) Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 18, 2023
Last modified
Jul 18, 2023
Page views
33172
Downloads
4472
  • Study Description
  • Data Description
  • Documentation
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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

What topics were covered in this class? (Topic 2) (topicsCovered2)

Data file: ddistirendlineclassroomobs.dta

Overview

Valid: 337
Invalid: 8175
Minimum: 102
Maximum: 119
Type: Discrete
Decimal: 0
Start: 58
End: 60
Width: 3
Range: 102 - 119
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 1 0
0%
102 2 29
8.6%
103 3 16
4.7%
104 4 65
19.3%
105 5 25
7.4%
106 6 32
9.5%
107 7 8
2.4%
108 8 0
0%
109 9 32
9.5%
110 10 14
4.2%
111 11 18
5.3%
112 12 13
3.9%
113 13 23
6.8%
114 14 0
0%
115 15 7
2.1%
116 16 15
4.5%
117 17 3
0.9%
118 18 10
3%
119 19 27
8%
120 20 0
0%
Sysmiss 21 0
Sysmiss 22 0
Sysmiss 8175
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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