balsakhi: The Balsakhi Remedial Tutoring data
In vikjam/pwrcalc: An R power package familiar to Stata users
Description
Usage
Format
Source
Description
An example RCT dataset
Usage
1
Format
A data frame with 10,198 rows and 76 variables:
- studentid
Student ID
- std
Grade
- schoolid
School ID
- div
Division code
- gender
String variable for gender
- age
Age
- researchgroup
Supervising group for evaluation
- sessiond
School session (morning or afternoon)
- std3tc
Treatment school for grade 3
- std4tc
Treatment school for grade 4 CAL program
- caltc
CALTC
- precheated
Cheated on pre-test
- prehelped
Helped on pre-test
- prelater
Took the pre-test at a later date
- pre_tot
Absolute total score on pre-test
- prepapersubtotal
Total points possible on pre-test
- pretakehome
Test was administered at home
- standardtemp
- midcheated
Cheated on mid-test
- midhelped
Helped on mid-test
- midlater
Took the mid-test at a later date
- mid_tot
Absolute total score on mid-test
- midpapersubtotal
Total points possible on mid-test
- midtakehome
Test was administered at home
- postcheated
Cheated on post-test
- posthelped
Helped on post-test
- postlater
Took the post-test at a later date
- post_tot
Absolute total score on post-test
- postpapersubtotal
Total points possible on post-test
- posttakehome
Test was administered at home
- attritprepost
Attrition from pre to post
- attritpremid
Attrition from pre to mid
- attritmidpost
Attrition from mid to post
- pre_verb
Absolute verbal score on pre-test
- pre_math
Absolute math score on pre-test
- mid_verb
Absolute verbal score on mid-test
- mid_math
Absolute math score on mid-test
- post_verb
Absolute verbal score on post-test
- post_math
Absolute math score on post-test
- bal
Dummy for balsakhi treatment
- male
Male
- rank
rank of (pre_tot) by schoolid std
- bot20
In bottom 20 in school-grade on pre-test
- third
Third in pre_tot distribution
- divid
Unique for school, grade
- numstud
Number of students in school-grade
- thirdinschool
Third in pre_tot in school, std
- bigschool
School-grade bigger than 50 students
- numthird
Num of Stud in third in school
- pre_mathnorm
Normalized math score on pre-test
- mid_mathnorm
Normalized math score on mid-test
- post_mathnorm
Normalized math score on post-test
- pre_verbnorm
Normalized verbal score on pre-test
- mid_verbnorm
Normalized verbal score on mid-test
- post_verbnorm
Normalized verbal score on post-test
- pre_totnorm
Normalized total score on pre-test
- mid_totnorm
Normalized total score on mid-test
- post_totnorm
Normalized total score on post-test
- premath1std
Passed standard 1 math competencies in pre-test
- premath2std
Passed standard 2 math competencies in pre-test
- premath3std
Passed standard 3 math competencies in pre-test
- preverb1std
Passed standard 1 verbal competencies in pre-test
- preverb2std
Passed standard 2 verbal competencies in pre-test
- preverb3std
Passed standard 3 verbal competencies in pre-test
- midmath1std
Passed standard 1 math competencies in mid-test
- midmath2std
Passed standard 2 math competencies in mid-test
- midmath3std
Passed standard 3 math competencies in mid-test
- midverb1std
Passed standard 1 verbal competencies in mid-test
- midverb2std
Passed standard 2 verbal competencies in mid-test
- midverb3std
Passed standard 3 verbal competencies in mid-test
- postmath1std
Passed standard 1 math competencies in post-test
- postmath2std
Passed standard 2 math competencies in post-test
- postmath3std
Passed standard 3 math competencies in post-test
- postverb1std
Passed standard 1 verbal competencies in post-test
- postverb2std
Passed standard 2 verbal competencies in post-test
- postverb3std
Passed standard 3 verbal competencies in post-test
Source
https://www.povertyactionlab.org/evaluation/balsakhi-remedial-tutoring-vadodara-and-mumbai-india
vikjam/pwrcalc documentation built on May 5, 2019, 5:55 p.m.
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Description Usage Format Source
Description
An example RCT dataset
Usage
1 |
Format
A data frame with 10,198 rows and 76 variables:
- studentid
Student ID
- std
Grade
- schoolid
School ID
- div
Division code
- gender
String variable for gender
- age
Age
- researchgroup
Supervising group for evaluation
- sessiond
School session (morning or afternoon)
- std3tc
Treatment school for grade 3
- std4tc
Treatment school for grade 4 CAL program
- caltc
CALTC
- precheated
Cheated on pre-test
- prehelped
Helped on pre-test
- prelater
Took the pre-test at a later date
- pre_tot
Absolute total score on pre-test
- prepapersubtotal
Total points possible on pre-test
- pretakehome
Test was administered at home
- standardtemp
- midcheated
Cheated on mid-test
- midhelped
Helped on mid-test
- midlater
Took the mid-test at a later date
- mid_tot
Absolute total score on mid-test
- midpapersubtotal
Total points possible on mid-test
- midtakehome
Test was administered at home
- postcheated
Cheated on post-test
- posthelped
Helped on post-test
- postlater
Took the post-test at a later date
- post_tot
Absolute total score on post-test
- postpapersubtotal
Total points possible on post-test
- posttakehome
Test was administered at home
- attritprepost
Attrition from pre to post
- attritpremid
Attrition from pre to mid
- attritmidpost
Attrition from mid to post
- pre_verb
Absolute verbal score on pre-test
- pre_math
Absolute math score on pre-test
- mid_verb
Absolute verbal score on mid-test
- mid_math
Absolute math score on mid-test
- post_verb
Absolute verbal score on post-test
- post_math
Absolute math score on post-test
- bal
Dummy for balsakhi treatment
- male
Male
- rank
rank of (pre_tot) by schoolid std
- bot20
In bottom 20 in school-grade on pre-test
- third
Third in pre_tot distribution
- divid
Unique for school, grade
- numstud
Number of students in school-grade
- thirdinschool
Third in pre_tot in school, std
- bigschool
School-grade bigger than 50 students
- numthird
Num of Stud in third in school
- pre_mathnorm
Normalized math score on pre-test
- mid_mathnorm
Normalized math score on mid-test
- post_mathnorm
Normalized math score on post-test
- pre_verbnorm
Normalized verbal score on pre-test
- mid_verbnorm
Normalized verbal score on mid-test
- post_verbnorm
Normalized verbal score on post-test
- pre_totnorm
Normalized total score on pre-test
- mid_totnorm
Normalized total score on mid-test
- post_totnorm
Normalized total score on post-test
- premath1std
Passed standard 1 math competencies in pre-test
- premath2std
Passed standard 2 math competencies in pre-test
- premath3std
Passed standard 3 math competencies in pre-test
- preverb1std
Passed standard 1 verbal competencies in pre-test
- preverb2std
Passed standard 2 verbal competencies in pre-test
- preverb3std
Passed standard 3 verbal competencies in pre-test
- midmath1std
Passed standard 1 math competencies in mid-test
- midmath2std
Passed standard 2 math competencies in mid-test
- midmath3std
Passed standard 3 math competencies in mid-test
- midverb1std
Passed standard 1 verbal competencies in mid-test
- midverb2std
Passed standard 2 verbal competencies in mid-test
- midverb3std
Passed standard 3 verbal competencies in mid-test
- postmath1std
Passed standard 1 math competencies in post-test
- postmath2std
Passed standard 2 math competencies in post-test
- postmath3std
Passed standard 3 math competencies in post-test
- postverb1std
Passed standard 1 verbal competencies in post-test
- postverb2std
Passed standard 2 verbal competencies in post-test
- postverb3std
Passed standard 3 verbal competencies in post-test
Source
https://www.povertyactionlab.org/evaluation/balsakhi-remedial-tutoring-vadodara-and-mumbai-india
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