matosaslopez_2024_questionnaire_quality

6,669 responses from 2,223 respondents to 3 items.

About this table

DescriptionThree items rating the questionnaire itself (ambiguity, clarity, precision), 1-5. 6,669 responses from 2,223 respondents on 3 items.
ReferenceMatosas-Lopez, L. (2024). Dataset on the evaluation of teaching efficiency comparing Likert-type questionnaires vs BARS [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15151243
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/15151243

Size and shape

Responses6,669
Respondents2,223
Items3
Response categories5
Responses per respondent3
Responses per item2,223
Density1
LongitudinalFALSE

Classification

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

Columns

cov_agecov_gendercov_questionnaire_typecov_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_2024_questionnaire_quality")
# Python
pip install irw

import irw
df = irw.fetch("matosaslopez_2024_questionnaire_quality")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_4 v7.0
Redivis dataset DOI10.57761/cpj5-vm97
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0