matosaslopez_2022_bars_teaching_inperson

8,880 responses from 888 respondents to 10 items.

About this table

DescriptionStudent evaluation of face-to-face teaching on a 10-item behaviourally-anchored rating scale (BARS), 1-5; classroom behavioural anchors (the 2019 JUTLP instrument). 8,880 responses from 888 students on 10 items.
ReferenceMatosas-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.15151307
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/15151307

Size and shape

Responses8,880
Respondents888
Items10
Response categories5
Responses per respondent10
Responses per item888
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational, Program-based
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)spa

Columns

cov_agecov_gendercov_universityiditemresp

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("matosaslopez_2022_bars_teaching_inperson")
# Python
pip install irw

import irw
df = irw.fetch("matosaslopez_2022_bars_teaching_inperson")

How to cite

@misc{https://doi.org/10.5281/zenodo.15151307,
  doi = {10.5281/ZENODO.15151307},
  url = {https://zenodo.org/doi/10.5281/zenodo.15151307},
  author = {Matosas-López, Luis},
  keywords = {validity, behavioral episodes, teaching effectiveness, measurement programs, accreditation processes, university},
  language = {es},
  title = {Dataset on student evaluations of a BARS questionnaire designed for face-to-face teaching modalities},
  publisher = {Zenodo},
  year = {2023},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW versionv470
Redivis datasetitem_response_warehouse_6 v4.0
Redivis dataset DOI10.57761/4e8w-c240
Manifest pin for this IRW versionv4.0
Metadata sourceirw_meta v29.0