gilbert_meta_55

26,445 responses from 1,763 respondents to 15 items.

About this table

DescriptionAcademic achievement in an RCT
ReferenceWang, L. C., Vlassopoulos, M., Islam, A., & Hassan, H. (2024). Delivering remote learning using a low-tech solution: Evidence from a randomized controlled trial in Bangladesh. Journal of Political Economy Microeconomics, 2(3), 562-601. Wang, Liang Choon; Vlassopoulos, Michael; Islam, Asad; Hassan, Hashibul, 2024, "Replication Data for: "Delivering Remote Learning Using a Low-tech Solution: Evidence from a Randomized Controlled Trial in Bangladesh"", https://doi.org/10.7910/DVN/GB61G4, Harvard Dataverse, V1, UNF:6:5atNk5pGBx6Kp0cFm40ZlQ== [fileUNF]
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/GB61G4

Size and shape

Responses26,445
Respondents1,763
Items15
Response categories2
Responses per respondent15
Responses per item1,763
Density1
LongitudinalFALSE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Child (6-12y)
sampleProgram-based, Targeted/specific
construct typeCognitive/educational
measurement toolTest
item formatLikert Scale/selected response
primary language(s)ben
construct nameLearning outcomes

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentEndline learning assessment test (Bangla literacy, English literacy, and numeracy)
Mean words per item43.133
Mean characters per item212.533
Mean characters per response2
Flesch-Kincaid grade level4.739

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, il_hte_55.R. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
cluster_idIRW standard The group a focal unit is nested in — classroom, teacher, school.VILLAGE_ID
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).not traced
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.not traced
std_baselineIRW standard A standardised pre-treatment score, usually the trial's baseline measure.made in the build script
treatIRW standard Treatment group assignment in experimental studies.any_treat
Respondent covariates
cov_ageCovariate child_age
cov_father_edCovariate father_edu_years
cov_incomeCovariate family_income
cov_maleCovariate child_gen
cov_mother_edCovariate mother_edu_years

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_55")
# Python
pip install irw

import irw
df = irw.fetch("gilbert_meta_55")

How to cite

@misc{https://doi.org/10.7910/dvn/gb61g4,
  doi = {10.7910/DVN/GB61G4},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/GB61G4},
  author = {Wang, Liang Choon and Vlassopoulos, Michael and Islam, Asad and Hassan, Hashibul},
  keywords = {Social Sciences, School closures, Remote education, Interactive Voice Response (IVR), Covid-19, Randomized Controlled Trial, Bangladesh},
  title = {Replication Data for: "Delivering Remote Learning Using a Low-tech Solution: Evidence from a Randomized Controlled Trial in Bangladesh"},
  publisher = {Harvard Dataverse},
  year = {2024}
}

Version and provenance

IRW versionv569
Redivis datasetitem_response_warehouse v71.0
Redivis dataset DOI10.57761/f5n4-k797
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v43.0