arora2025_blueq_asynchronous

280 responses from 40 respondents to 7 items.

About this table

DescriptionBLUE-Q Section 3 (Asynchronous Learning Environment); blended learning course evaluation; 40 interprofessional clinicians (Canada); 1-5 Likert; 7 items
ReferenceArora, A. K., Myers, J., Apramian, T., Kulasegaram, K., Bainbridge, D., & Seow, H. (2025). Reliability and construct validation of the Blended Learning Usability Evaluation–Questionnaire with interprofessional clinicians in Canada: a methodological study.
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/ZZPUWB

Size and shape

Responses280
Respondents40
Items7
Response categories4
Responses per respondent7
Responses per item40
Density1
LongitudinalFALSE

Classification

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

Columns

cov_gendercov_roleiditemresp

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("arora2025_blueq_asynchronous")
# Python
pip install irw

import irw
df = irw.fetch("arora2025_blueq_asynchronous")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_2 v19.0
Redivis dataset DOI10.57761/qtx5-4m80
Manifest pin for this IRW versionv19.0
Metadata sourceirw_meta v23.0