hellstrom_2019_psqi

4,245 responses from 632 respondents to 14 items.

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

About this table

DescriptionPittsburgh Sleep Quality Index components (PSQI, 14 items), Swedish university students, N=632
ReferenceHellstrom A, Hagell P, Brostrom A, Ulander M, Luik AI, Espie CA, Arestedt K (2019). A classical test theory evaluation of the Sleep Condition Indicator accounting for the ordinal nature of item response data. PLOS ONE, 14(3), e0213533. https://doi.org/10.1371/journal.pone.0213533
DOI10.1371/journal.pone.0213533
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0213533.s001

Size and shape

Responses4,245
Respondents632
Items14
Response categories4
Responses per respondent6.717
Responses per item303.214
Density0.480
LongitudinalFALSE

Classification

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

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, hellstrom_2019_sleep_battery.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).ID
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate age
cov_programmeCovariate programme
cov_sexCovariate sex

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("hellstrom_2019_psqi")
# Python
pip install irw

import irw
df = irw.fetch("hellstrom_2019_psqi")

How to cite

@article{Hellstr_m_2019, title={A classical test theory evaluation of the Sleep Condition Indicator accounting for the ordinal nature of item response data}, volume={14}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0213533}, DOI={10.1371/journal.pone.0213533}, number={3}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Hellström, Amanda and Hagell, Peter and Broström, Anders and Ulander, Martin and Luik, Annemarie I. and Espie, Colin A. and Årestedt, Kristofer}, editor={Martínez Molina, Agustin}, year={2019}, month=Mar, pages={e0213533} }

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse_3 v13.0
Redivis dataset DOI10.57761/gpg7-sg87
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v43.0