gilbert_meta_9

48,210 responses from 1,646 respondents to 19 items.

About this table

DescriptionScale related to intimate partner violence
ReferenceHidrobo, M., Peterman, A., & Heise, L. (2016). The effect of cash, vouchers, and food transfers on intimate partner violence: evidence from a randomized experiment in Northern Ecuador. American Economic Journal: Applied Economics, 8(3), 284-303. Hidrobo, Melissa, Peterman, Amber, and Heise, Lori. Replication data for: The Effect of Cash, Vouchers, and Food Transfers on Intimate Partner Violence: Evidence from a Randomized Experiment in Northern Ecuador. Nashville, TN: American Economic Association [publisher], 2016. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113634V1
LicenceCC BY 4.0
Source datahttps://www.openicpsr.org/openicpsr/project/113634/version/V1/view

Size and shape

Responses48,210
Respondents1,646
Items19
Response categories2
Responses per respondent29.289
Responses per item2537.368
Density1.542
LongitudinalTRUE

Classification

age rangeMixed
child age (for child-focused studies)Adolescent (12-18y)
sampleTargeted/specific
construct typeAffective/mental health, Behavioral
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)spa
construct nameIntimate Partner Violence Scale

Columns

cluster_idcov_agecov_femaleiditemresptreatwave

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_9")
# Python
pip install irw

import irw
df = irw.fetch("gilbert_meta_9")

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