gilbert_meta_94

18,186 responses from 378 respondents to 17 items.

About this table

DescriptionCollection of poverty indicators
ReferenceEvans, W. N., Kolka, S., Sullivan, J. X., & Turner, P. S. (2025). Fighting poverty one family at a time: Experimental evidence from an intervention with holistic, individualized, wraparound services. American Economic Journal: Economic Policy, 17(1), 311-361. Evans, William, Kolka, Shawna, Sullivan, James, and Turner, Patrick. Data and Code for: Fighting Poverty One Family at a Time: Experimental Evidence from an Intervention with Holistic, Individualized, Wrap-Around Services. Nashville, TN: American Economic Association [publisher], 2025. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-01-07. https://doi.org/10.3886/E193743V1
DOI10.1257/pol.20200716
LicenceCC BY 4.0
Source datahttps://www.openicpsr.org/openicpsr/project/193743/version/V1/view

Size and shape

Responses18,186
Respondents378
Items17
Response categories2
Responses per respondent48.111
Responses per item1069.765
Density2.830
LongitudinalTRUE

Classification

construct nameCollection of poverty indicators

Item text

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

InstrumentCollection of poverty indicators
Mean words per item4.118
Mean characters per item26.882
Flesch-Kincaid grade level6.889

Columns

cov_femalecov_hhsizecov_marriediditemrresptreatwave

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_94")
# Python
pip install irw

import irw
df = irw.fetch("gilbert_meta_94")

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