idemudia_2025_s301

1,903 responses from 325 respondents to 6 items.

One of 7 tables from the same source; this one is the s301 table. The others are listed under Related tables.

About this table

DescriptionAcculturation-measures survey block S301 (unlabeled construct), N=329
ReferenceIdemudia, E. S., et al. (2025). Cross-cultural validation of acculturation measures: Expanding the East Asian acculturation framework for global applicability. PLOS ONE.
DOI10.1371/journal.pone.0310351
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0310351

Size and shape

Responses1,903
Respondents325
Items6
Response categories5
Responses per respondent5.855
Responses per item317.167
Density0.976
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, idemudia_2025_acculturation.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

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("idemudia_2025_s301")
# Python
pip install irw

import irw
df = irw.fetch("idemudia_2025_s301")

How to cite

@article{Idemudia_2025, title={Cross-cultural validation of acculturation measures: Expanding the East Asian acculturation framework for global applicability}, volume={20}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0310351}, DOI={10.1371/journal.pone.0310351}, number={3}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Idemudia, Erhabor Sunday and Karing, Constance and Ugwu, Lawrence Ejike}, editor={Harpaz, Gal}, year={2025}, month=Mar, pages={e0310351} }

Version and provenance

IRW versionv569
Redivis datasetitem_response_warehouse_3 v14.0
Redivis dataset DOI10.57761/rkkt-p907
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v43.0