gilbert_meta_22

90,051 responses from 5,364 respondents to 16 items.

About this table

DescriptionAttitudes towards savings in an RCT
ReferenceBerry, J., Karlan, D., & Pradhan, M. (2018). The impact of financial education for youth in Ghana. World development, 102, 71-89. Berry, James; Karlan, Dean; Pradhan, Menno, 2020, "The Impact of Financial Education for Youth in Ghana", https://doi.org/10.7910/DVN/GDP2YP, Harvard Dataverse, V1
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/GDP2YP

Size and shape

Responses90,051
Respondents5,364
Items16
Response categories4
Responses per respondent16.788
Responses per item5628.188
Density1.049
LongitudinalTRUE

Classification

age rangeMixed
child age (for child-focused studies)Child (6-12y), Adolescent (12-18y)
sampleEducational
construct typeCognitive/educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameAttitudes towards savings

Item text

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

InstrumentAttitudes towards savings in an RCT
Mean words per item10.812
Mean characters per item54.938
Mean characters per response13.188
Flesch-Kincaid grade level5.474

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, il_hte_22.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.schid
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
treatIRW standard Treatment group assignment in experimental studies.samp
waveIRW standard Longitudinal wave indicator.not traced
Respondent covariates
cov_ageCovariate age
cov_maleCovariate gender

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_22")
# Python
pip install irw

import irw
df = irw.fetch("gilbert_meta_22")

How to cite

@misc{https://doi.org/10.7910/dvn/gdp2yp,
  doi = {10.7910/DVN/GDP2YP},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/GDP2YP},
  author = {Berry, James and Karlan, Dean and Pradhan, Menno},
  keywords = {Social Sciences, Financial literacy, Youth finance, Savings},
  title = {The Impact of Financial Education for Youth in Ghana},
  publisher = {Harvard Dataverse},
  year = {2020}
}

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