baquerotomas_2026_emas

6,792 responses from 566 respondents to 12 items.

One of 7 tables from the same source; this one is the emas table. The others are listed under Related tables.

About this table

DescriptionEndler Multidimensional Anxiety Scales items, 1-7. 566 respondents x 12 items = 6792 responses.
ReferenceBaquero-Tomas, M. (2026). Dificultades en regulacion emocional, ansiedad y depresion en estudiantes universitarios espanoles [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/MXYEMC
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/MXYEMC

Size and shape

Responses6,792
Respondents566
Items12
Response categories7
Responses per respondent12
Responses per item566
Density1
LongitudinalFALSE

Classification

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

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, baquerotomas_2026_emotion_regulation.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("baquerotomas_2026_emas")
# Python (needs a free Redivis account)
pip install irw

import irw
df = irw.fetch("baquerotomas_2026_emas")

How to cite

@misc{https://doi.org/10.7910/dvn/mxyemc,
  doi = {10.7910/DVN/MXYEMC},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/MXYEMC},
  author = {Baquero-Tomás, Marina},
  keywords = {Social Sciences},
  title = {Dificultades en regulación emocional, ansiedad y depresión en estudiantes universitarios españoles: el papel del apoyo social y del sentido en la vida.},
  publisher = {Harvard Dataverse},
  year = {2026}
}

Version and provenance

IRW versionv540
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v37.0