arora2025_blueq_asynchronous

280 responses from 40 respondents to 7 items.

One of 3 tables from the same source; this one is the asynchronous table. The others are listed under Related tables.

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

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, arora2025_blueq.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
Respondent covariates
cov_genderCovariate made in the build script
cov_roleCovariate 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("arora2025_blueq_asynchronous")
# Python
pip install irw

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

How to cite

@misc{https://doi.org/10.7910/dvn/zzpuwb,
  doi = {10.7910/DVN/ZZPUWB},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/ZZPUWB},
  author = {Arora, Anish Kumar and Myers, Jeff and Apramian, Tavis and {Kulamakan Kulasegaram} and Bainbridge, Daryl and {Hsien Seow}},
  keywords = {Medicine, Health and Life Sciences},
  title = {Reliability and construct validation of the Blended Learning Usability Evaluation–Questionnaire with interprofessional clinicians in Canada: a methodological study},
  publisher = {Harvard Dataverse},
  year = {2025}
}

Version and provenance

IRW versionv569
Redivis datasetitem_response_warehouse_2 v33.0
Redivis dataset DOI10.57761/6m04-m698
Manifest pin for this IRW versionv33.0
Metadata sourceirw_meta v43.0