deilkas_2019_saq

16,174 responses from 288 respondents to 62 items.

One of 2 tables from the same source; this one measures Safety Attitudes Questionnaire (SAQ), nursing home version. The others are listed under Related tables.

About this table

DescriptionSafety Attitudes Questionnaire (nursing home version), 62 items, 1-5; N = 288 staff of 34 wards in five Norwegian nursing homes; cov_nursing_home, cov_ward, cov_position, cov_sex, cov_age_group, cov_experience_years, cov_experience_here_years, cov_shift, cov_position_pct, cov_permanent, cov_norwegian_native.
ReferenceDeilkås, E. C. T., Hofoss, D., Husebo, B. S., & Bondevik, G. T. (2019). Opportunities for improvement in nursing homes: Variance of six patient safety climate factor scores across nursing homes and wards -- Assessed by the Safety Attitudes Questionnaire. PLOS ONE, 14(6), e0218244. https://doi.org/10.1371/journal.pone.0218244
DOI10.1371/journal.pone.0218244
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0218244.s003

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

Responses16,174
Respondents288
Items62
Response categories5
Responses per respondent56.160
Responses per item260.871
Density0.906
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleWorkplace
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)nor
construct nameSafety Attitudes Questionnaire (SAQ), nursing home version

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentSafety Attitudes Questionnaire, nursing home version (62 items)
Mean words per item1
Mean characters per item2
Mean characters per response13.800
Flesch-Kincaid grade level-3.400

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, deilkas_2019_saq_nursing_homes.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_age_groupCovariate Alder
cov_experience_here_yearsCovariate Yrkeserfaringsykehjemmet
cov_experience_yearsCovariate Yrkeserfaringtotalt
cov_norwegian_nativeCovariate Norskmorsmål
cov_nursing_homeCovariate Nursinghome
cov_permanentCovariate Ansettelse
cov_positionCovariate Stilling
cov_position_pctCovariate Stillingsandel
cov_sexCovariate Kjønn
cov_shiftCovariate Vakter
cov_wardCovariate Department

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("deilkas_2019_saq")
# Python
pip install irw

import irw
df = irw.fetch("deilkas_2019_saq")

How to cite

@article{Deilk_s_2019, title={Opportunities for improvement in nursing homes: Variance of six patient safety climate factor scores across nursing homes and wards—Assessed by the Safety Attitudes Questionnaire}, volume={14}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0218244}, DOI={10.1371/journal.pone.0218244}, number={6}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Deilkås, Ellen Catharina Tveter and Hofoss, Dag and Husebo, Bettina S. and Bondevik, Gunnar Tschudi}, editor={Koniaris, Leonidas G}, year={2019}, month=June, pages={e0218244} }

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0