lane_2020_pss

1,607 responses from 161 respondents to 10 items.

About this table

DescriptionPerceived Stress Scale (PSS-10), 10 items, 0-4. Final-year medical students, University College Dublin, Ireland (2017). N=161.
ReferenceLane A, McGrath J, Cleary E, Guerandel A, Malone KM (2020). Worried, weary and worn out: mixed-method study of stress and well-being in final-year medical students. BMJ Open, 10(12), e040245. https://doi.org/10.1136/bmjopen-2020-040245
DOI10.1136/bmjopen-2020-040245
LicenceCC0 1.0
Source datahttps://zenodo.org/records/4264764

Size and shape

Responses1,607
Respondents161
Items10
Response categories5
Responses per respondent9.981
Responses per item160.700
Density0.998
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct namePerceived stress (PSS-10)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, lane_2020_pss.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).Participant
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate Age
cov_batchCovariate Batch
cov_genderCovariate Gender
cov_graduate_entryCovariate GEM

What item codes and covariate values stand for is in the source’s codebook, content.

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("lane_2020_pss")
# Python
pip install irw

import irw
df = irw.fetch("lane_2020_pss")

How to cite

@article{Lane_2020, title={Worried, weary and worn out: mixed-method study of stress and well-being in final-year medical students}, volume={10}, ISSN={2044-6055}, url={http://dx.doi.org/10.1136/bmjopen-2020-040245}, DOI={10.1136/bmjopen-2020-040245}, number={12}, journal={BMJ Open}, publisher={BMJ}, author={Lane, Abbie and McGrath, Jack and Cleary, Eimear and Guerandel, Allys and Malone, Kevin M}, year={2020}, month=Dec, pages={e040245} }

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