grant_2018_ersq

1,538 responses from 36 respondents to 27 items.

About this table

DescriptionEmotion Regulation Skills Questionnaire (27 items), pre/post intervention (wave column)
ReferenceGrant M, Salsman NL, Berking M (2018). The assessment of successful emotion regulation skills use: Development and validation of an English version of the Emotion Regulation Skills Questionnaire. PLOS ONE, 13(10), e0205095. https://doi.org/10.1371/journal.pone.0205095
DOI10.1371/journal.pone.0205095
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0205095.s001

Size and shape

Responses1,538
Respondents36
Items27
Response categories5
Responses per respondent42.722
Responses per item56.963
Density1.582
LongitudinalTRUE

Classification

sampleClinical
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, grant_2018_ersq.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).UPID
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
waveIRW standard Longitudinal wave indicator.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 (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("grant_2018_ersq")
# Python
pip install irw

import irw
df = irw.fetch("grant_2018_ersq")

How to cite

@article{Grant_2018, title={The assessment of successful emotion regulation skills use: Development and validation of an English version of the Emotion Regulation Skills Questionnaire}, volume={13}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0205095}, DOI={10.1371/journal.pone.0205095}, number={10}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Grant, Michaela and Salsman, Nicholas L. and Berking, Matthias}, editor={Moitra, Ethan}, year={2018}, month=Oct, pages={e0205095} }

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse_3 v13.0
Redivis dataset DOI10.57761/gpg7-sg87
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v40.0