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

Columns

iditemrespwave

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("grant_2018_ersq")
# Python
pip install irw

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

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0