3,762 responses from 328 respondents to 12 items.
| Description | Acculturation-measures survey block S101 (unlabeled construct), N=329 |
|---|---|
| Reference | Idemudia, E. S., et al. (2025). Cross-cultural validation of acculturation measures: Expanding the East Asian acculturation framework for global applicability. PLOS ONE. |
| DOI | 10.1371/journal.pone.0310351 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0310351 |
| Responses | 3,762 |
|---|---|
| Respondents | 328 |
| Items | 12 |
| Response categories | 7 |
| Responses per respondent | 11.470 |
| Responses per item | 313.500 |
| Density | 0.956 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("idemudia_2025_s101")
# Python
pip install irw
import irw
df = irw.fetch("idemudia_2025_s101")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |