Nonfinancial Extrinsic and Intrinsic Teacher Motivation in Government and Private Schools 2015-2017, Impact Evaluation Surveys
India, 2015 - 2017
Get Microdata
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
Created on
Oct 12, 2023
Last modified
Oct 12, 2023
Page views
8915
Downloads
575
- 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
Day in current school (to be used only along with year) (teachingCurrentDay)
Data file: ddistirmidlineteachermotivation.dta
Overview
Valid:
1394
Invalid:
18
Minimum:
0
Maximum:
31
Type:
Discrete
Decimal:
0
Start:
28
End:
29
Width:
2
Range:
0 - 31
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 1173 |
84.1%
|
|
| 1 | 4 |
0.3%
|
|
| 2 | 9 |
0.6%
|
|
| 3 | 13 |
0.9%
|
|
| 4 | 6 |
0.4%
|
|
| 5 | 11 |
0.8%
|
|
| 6 | 4 |
0.3%
|
|
| 7 | 5 |
0.4%
|
|
| 8 | 4 |
0.3%
|
|
| 9 | 1 |
0.1%
|
|
| 10 | 17 |
1.2%
|
|
| 11 | 10 |
0.7%
|
|
| 12 | 15 |
1.1%
|
|
| 13 | 2 |
0.1%
|
|
| 14 | 4 |
0.3%
|
|
| 15 | 12 |
0.9%
|
|
| 16 | 6 |
0.4%
|
|
| 17 | 4 |
0.3%
|
|
| 18 | 3 |
0.2%
|
|
| 19 | 5 |
0.4%
|
|
| 20 | 14 |
1%
|
|
| 21 | 4 |
0.3%
|
|
| 22 | 5 |
0.4%
|
|
| 23 | 5 |
0.4%
|
|
| 24 | 14 |
1%
|
|
| 25 | 8 |
0.6%
|
|
| 26 | 7 |
0.5%
|
|
| 27 | 8 |
0.6%
|
|
| 28 | 13 |
0.9%
|
|
| 29 | 7 |
0.5%
|
|
| 31 | 1 |
0.1%
|
|
| Sysmiss | 18 |
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.