14,359 responses from 1,436 respondents to 10 items.
| Description | Student evaluation of blended-learning teaching on a 10-item behaviourally-anchored rating scale (BARS), 1-5; LMS-centred behavioural anchors (Behav Sci 2022, Appendix A). 14,359 responses from 1,436 students on 10 items. |
|---|---|
| Reference | Matosas-Lopez, L. (2022). Datasets on student evaluations of a BARS questionnaire designed for blended-learning and face-to-face teaching [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15160903 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/15160903 |
| Responses | 14,359 |
|---|---|
| Respondents | 1,436 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 9.999 |
| Responses per item | 1435.900 |
| Density | 1.000 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, Program-based |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
cov_agecov_degreecov_genderiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("matosaslopez_2022_bars_teaching_blended")
# Python
pip install irw
import irw
df = irw.fetch("matosaslopez_2022_bars_teaching_blended")
@misc{https://doi.org/10.5281/zenodo.15160903,
doi = {10.5281/ZENODO.15160903},
url = {https://zenodo.org/doi/10.5281/zenodo.15160903},
author = {Matosas-López, Luis},
keywords = {Teaching effectiveness, blended learning, validity, reliability, behavioral episodes, behavioral examples, behavioral scales, BARS},
language = {es},
title = {Dataset on student evaluations of a BARS questionnaire designed for blended learning teaching modalities},
publisher = {Zenodo},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v470 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v4.0 |
| Redivis dataset DOI | 10.57761/4e8w-c240 |
| Manifest pin for this IRW version | v4.0 |
| Metadata source | irw_meta v29.0 |