lev_ari_2021_ders

8,385 responses from 233 respondents to 36 items.

One of 3 tables from the same source; this one is the ders table. The others are listed under Related tables.

About this table

DescriptionDifficulties in Emotion Regulation Scale (DERS), 36 items on a 1-5 scale, Israeli community sample. 8,385 responses from 233 respondents on 36 items.
ReferenceLev-Ari L, Zohar AH, Bachner-Melman R (2021). Eating for numbing: a community-based study of trauma exposure, emotion dysregulation, dissociation, body dissatisfaction and eating disorder symptoms. PeerJ, 9, e11899. https://doi.org/10.7717/peerj.11899
DOI10.7717/peerj.11899
LicenceCC BY 4.0
Source datahttps://europepmc.org/article/PMC/PMC8349516

Size and shape

Responses8,385
Respondents233
Items36
Response categories5
Responses per respondent35.987
Responses per item232.917
Density1.000
LongitudinalTRUE

Classification

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

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, lev_ari_2021_eating.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
waveIRW standard Longitudinal wave indicator.made in the build script
Respondent covariates
cov_birth_yearCovariate birth
cov_education_yearsCovariate education
cov_family_statusCovariate family
cov_genderCovariate sex
cov_n_childrenCovariate child
cov_religionCovariate religion

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("lev_ari_2021_ders")
# Python
pip install irw

import irw
df = irw.fetch("lev_ari_2021_ders")

How to cite

@article{Lev_ari_2021, title={Eating for numbing: a community-based study of trauma exposure, emotion dysregulation, dissociation, body dissatisfaction and eating disorder symptoms}, volume={9}, ISSN={2167-8359}, url={http://dx.doi.org/10.7717/peerj.11899}, DOI={10.7717/peerj.11899}, journal={PeerJ}, publisher={PeerJ}, author={Lev-ari, Lilac and Zohar, Ada H. and Bachner-Melman, Rachel}, year={2021}, month=Aug, pages={e11899} }

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse_6 v5.11
Redivis dataset DOI10.57761/qahq-j855
Manifest pin for this IRW versionv5.11
Metadata sourceirw_meta v43.0