400 responses from 40 respondents to 10 items.
| Description | BLUE-Q Section 1 (Pedagogical Usability); blended learning course evaluation; 40 interprofessional clinicians (Canada); 1-5 Likert; 10 items |
|---|---|
| Reference | Arora, 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. |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/ZZPUWB |
| Responses | 400 |
|---|---|
| Respondents | 40 |
| Items | 10 |
| Response categories | 4 |
| Responses per respondent | 10 |
| Responses per item | 40 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Program-based, Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Blended Learning Usability Evaluation-Questionnaire (BLUE-Q) |
|---|---|
| Mean words per item | 16.800 |
| Mean characters per item | 105.400 |
| Mean characters per response | 8.500 |
| Flesch-Kincaid grade level | 9.504 |
cov_gendercov_roleiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("arora2025_blueq_pedagogical")
# Python
pip install irw
import irw
df = irw.fetch("arora2025_blueq_pedagogical")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |