chuemchit_2024_partner_violence

2,025 responses from 405 respondents to 5 items.

About this table

DescriptionPartner violence by type (economic/cyber/psychological/physical/sexual), 5 items, binary, N=405
ReferenceChuemchit, M., et al. (2024). Discrimination and violence against women migrant workers in Thailand during the COVID-19 pandemic: A mixed-methods study. PLOS ONE.
DOI10.1371/journal.pone.0300388
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0300388

Size and shape

Responses2,025
Respondents405
Items5
Response categories2
Responses per respondent5
Responses per item405
Density1
LongitudinalFALSE

Classification

measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng, khm, lao, bur

Item text

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

InstrumentSurvey with Women Migrant Workers (Chuemchit et al. 2024; UN Women and College of Public Health Sciences, Chulalongkorn University) - partner violence module
Mean words per item1
Mean characters per item2
Mean characters per response2.500
Flesch-Kincaid grade level-3.400

Columns

iditemresp

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("chuemchit_2024_partner_violence")
# Python
pip install irw

import irw
df = irw.fetch("chuemchit_2024_partner_violence")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0