mexico_2023_quality_university

46,138 responses from 78,896 respondents to 9 items.

About this table

DescriptionUniversity Service Quality
ReferenceINEGI. Encuesta Nacional de Calidad e Impacto Gubernamental 2023. SNIEG. Información de Interés Nacional
LicencePermission via Email
Source datahttps://www.inegi.org.mx/programas/encig/2023/#microdatos

Size and shape

Responses46,138
Respondents78,896
Items9
Response categories7
Responses per respondent0.585
Responses per item5126.444
Density0.065
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleGeneral/non-specific
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)spa
construct nameUniversity Service Quality Evaluation

Columns

cov_agecov_educationcov_hhsizecov_sexiditemresp

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("mexico_2023_quality_university")
# Python
pip install irw

import irw
df = irw.fetch("mexico_2023_quality_university")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_2 v19.0
Redivis dataset DOI10.57761/qtx5-4m80
Manifest pin for this IRW versionv19.0
Metadata sourceirw_meta v23.0