gori_2020_pss10

10,978 responses from 1,099 respondents to 10 items.

One of 4 tables from the same source; this one measures Perceived Stress Scale-10 (PSS-10), Italian version. The others are listed under Related tables.

About this table

DescriptionItalian Perceived Stress Scale-10 (PSS-10), 10 items, 0-4, 1,099 Italian adults during the COVID-19 emergency (2020); cov_age, cov_gender.
ReferenceGori, A., Topino, E., & Di Fabio, A. (2020). The protective role of life satisfaction, coping strategies and defense mechanisms on perceived stress due to COVID-19 emergency: A chained mediation model. PLOS ONE, 15(11), e0242402.
DOI10.1371/journal.pone.0242402
LicenceCC BY 4.0
Source datahttps://figshare.com/articles/dataset/13133180

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

Responses10,978
Respondents1,099
Items10
Response categories5
Responses per respondent9.989
Responses per item1097.800
Density0.999
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleGeneral/non-specific, Internet-based
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ita
construct namePerceived Stress Scale-10 (PSS-10), Italian version

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, gori_2020_covid_stress.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
Respondent covariates
cov_ageCovariate Age
cov_genderCovariate Gender

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("gori_2020_pss10")
# Python
pip install irw

import irw
df = irw.fetch("gori_2020_pss10")

How to cite

@article{Gori_2020, title={The protective role of life satisfaction, coping strategies and defense mechanisms on perceived stress due to COVID-19 emergency: A chained mediation model}, volume={15}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0242402}, DOI={10.1371/journal.pone.0242402}, number={11}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Gori, Alessio and Topino, Eleonora and Di Fabio, Annamaria}, editor={Manuti, Amelia}, year={2020}, month=Nov, pages={e0242402} }

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_6 v5.11
Redivis dataset DOI10.57761/qahq-j855
Manifest pin for this IRW versionv5.11
Metadata sourceirw_meta v44.0