malinowska_2021_saq_nurses

45,577 responses from 1,190 respondents to 41 items.

About this table

Description36-item Polish adaptation of the Safety Attitudes Questionnaire (SAQ, 1-6 Likert) plus 5 supervisor-focused parallel items, from a survey of nurses in 21 Polish hospitals
ReferenceMalinowska-Lipień I, Micek A, Gabryś T, Kózka M, Gajda K, Gniadek A, et al. (2021) Nurses and physicians attitudes towards factors related to hospitalized patient safety. PLoS ONE.
DOI10.1371/journal.pone.0260926
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0260926.s002

Size and shape

Responses45,577
Respondents1,190
Items41
Response categories6
Responses per respondent38.300
Responses per item1111.634
Density0.934
LongitudinalFALSE

Classification

sampleWorkplace
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)pol

Item text

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

InstrumentSafety Attitudes Questionnaire - Short Form, Polish version (SAQ-SF PL)
Mean words per item10.927
Mean characters per item67.512
Mean characters per response20.333
Flesch-Kincaid grade level9.758

Columns

iditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("malinowska_2021_saq_nurses")
# Python
pip install irw

import irw
df = irw.fetch("malinowska_2021_saq_nurses")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0