nguyen_2026_barthel

3,940 responses from 394 respondents to 10 items.

Size and shape

Responses3,940
Respondents394
Items10
Response categories4
Responses per respondent10
Responses per item394
Density1
LongitudinalFALSE

Columns

iditemresp

Get the data

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("nguyen_2026_barthel")
# Python
pip install git+https://github.com/itemresponsewarehouse/Python-pkg.git

import irw
df = irw.fetch("nguyen_2026_barthel")

Browse or download it directly on Redivis, or take the Croissant description of this table for use with Hugging Face, Kaggle or OpenML.

Version and provenance

IRW versionv332
Redivis datasetitem_response_warehouse_4 v5.0
Redivis dataset DOI10.57761/qy4c-9887
Manifest pin for this IRW versionv4.0
Metadata sourceirw_meta v19.3