li_2024_sad

32,228 responses from 1,151 respondents to 28 items.

One of 4 tables from the same source; this one is the sad table. The others are listed under Related tables.

About this table

Description28-item Social Avoidance and Distress scale (binary 0/1), same sample as li_2024_fa
ReferenceLi et al. (2024). Does how individuals handle social situations exacerbate the relationship between physique anxiety and food addiction? PeerJ.
DOI10.7717/peerj.17910
LicenceCC BY 4.0
Source datahttps://europepmc.org/article/PMC/PMC11332389

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses32,228
Respondents1,151
Items28
Response categories2
Responses per respondent28
Responses per item1,151
Density1
LongitudinalFALSE

Classification

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

Codebook

This codebook is reconstructed by the IRW from the IRW data standard. 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).not traced
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
Respondent covariates
cov_ageCovariate not traced
cov_bed_timeCovariate not traced
cov_educationCovariate not traced
cov_genderCovariate not traced
cov_heightCovariate not traced
cov_home_locationCovariate not traced
cov_smoking_per_dayCovariate not traced
cov_weightCovariate not traced

What item codes and covariate values stand for is in the source’s codebook, peerj-12-17910-s002.docx.

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("li_2024_sad")
# Python
pip install irw

import irw
df = irw.fetch("li_2024_sad")

How to cite

@article{Li_2024, title={Does how individuals handle social situations exacerbate the relationship between physique anxiety and food addiction? The role of emotional expressive suppression and social avoidance and distress}, volume={12}, ISSN={2167-8359}, url={http://dx.doi.org/10.7717/peerj.17910}, DOI={10.7717/peerj.17910}, journal={PeerJ}, publisher={PeerJ}, author={Li, Yan and Fan, Yuxia and Lin, Jing and Shi, Shaobo}, year={2024}, month=Aug, pages={e17910} }

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v39.0