gilbert_meta_37

17,619 responses from 839 respondents to 21 items.

About this table

DescriptionHealth knowledge in an RCT
ReferenceCarpena, F. (2024). Entertainment-Education for Better Health: Insights from a Field Experiment in India. The Journal of Development Studies, 60(5), 745-762. Carpena, Fenella, 2024, "Replication Data for: Entertainment-Education for Better Health: Insights from a Field Experiment in India", https://doi.org/10.7910/DVN/EJ03JR, Harvard Dataverse, V1, UNF:6:pX0ZhtBxkRpvQC6AOfVg4g== [fileUNF]
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/EJ03JR

Size and shape

Responses17,619
Respondents839
Items21
Response categories2
Responses per respondent21
Responses per item839
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleGeneral/non-specific
construct typeCognitive/educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameHealth Knowledge Survey (Entertainment-Education RCT)

Item text

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

InstrumentHealth knowledge in an RCT
Mean words per item10.952
Mean characters per item60
Mean characters per response22.286
Flesch-Kincaid grade level3.971

Columns

block_idcov_agecov_completed_elementarycov_completed_secondarycov_femalecov_hh_incomecov_hh_sizecov_hinducov_marriediditemrespstd_baselinetreat

Get the data

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

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gilbert_meta_37")
# Python
pip install irw

import irw
df = irw.fetch("gilbert_meta_37")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0