bialowolski_2024_financial_literacy

79,002 responses from 4,389 respondents to 18 items.

About this table

Description18-item financial-literacy test scored right/wrong, Polish adults. 4389 respondents x 18 items = 79002 responses.
ReferenceBialowolski, P. (2024). Financial literacy in a gendered language context [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/MTQGSF
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/MTQGSF

Size and shape

Responses79,002
Respondents4,389
Items18
Response categories2
Responses per respondent18
Responses per item4,389
Density1
LongitudinalFALSE

Classification

measurement toolTest
item formatLikert Scale/selected response
primary language(s)pol

Item text

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

InstrumentFinancial literacy test questions (feminized, masculinized and gender-neutral versions)
Mean words per item114.778
Mean characters per item616.500
Mean characters per response19.500
Flesch-Kincaid grade level4.174

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, bialowolski_2024_financial_literacy.py. 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
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_age_groupCovariate made in the build script
cov_educationCovariate made in the build script
cov_employmentCovariate made in the build script
cov_fieldCovariate made in the build script
cov_hhsizeCovariate made in the build script
cov_incomeCovariate made in the build script
cov_maleCovariate made in the build script
cov_marital_statusCovariate made in the build script
cov_residenceCovariate made in the build script

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("bialowolski_2024_financial_literacy")
# Python
pip install irw

import irw
df = irw.fetch("bialowolski_2024_financial_literacy")

How to cite

@misc{https://doi.org/10.7910/dvn/mtqgsf,
  doi = {10.7910/DVN/MTQGSF},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/MTQGSF},
  author = {Bialowolski, Piotr},
  keywords = {Social Sciences},
  title = {Financial literacy in a gendered language context},
  publisher = {Harvard Dataverse},
  year = {2024}
}

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v40.0