tiemensma_2018_iesr

12,068 responses from 549 respondents to 22 items.

About this table

Description22-item Impact of Event Scale-Revised (IES-R) in a Latino/non-Latino measurement-invariance study
ReferenceTiemensma J, Depaoli S, Winter SD, Felt JM, Rus HM, Arroyo AC (2018). The performance of the IES-R for Latinos and non-Latinos: Assessing measurement invariance. PLOS ONE, 13(4), e0195229. https://doi.org/10.1371/journal.pone.0195229
DOI10.1371/journal.pone.0195229
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0195229.s001

Size and shape

Responses12,068
Respondents549
Items22
Response categories5
Responses per respondent21.982
Responses per item548.545
Density0.999
LongitudinalFALSE

Classification

sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng

Columns

cov_latinoiditemresp

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("tiemensma_2018_iesr")
# Python
pip install irw

import irw
df = irw.fetch("tiemensma_2018_iesr")

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