park_2024_ageism

5,957 responses from 331 respondents to 18 items.

About this table

Description18-item ageism scale (the paper's focal instrument), Korean clinical nurses, N=331
ReferencePark S, Lee H, Seo M, Kim HK, Shin E (2024). Effects of ageism on burnout among clinical nurses. PLOS ONE, 19(11), e0313043. https://doi.org/10.1371/journal.pone.0313043
DOI10.1371/journal.pone.0313043
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0313043.s001

Size and shape

Responses5,957
Respondents331
Items18
Response categories4
Responses per respondent17.997
Responses per item330.944
Density1.000
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleWorkplace
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)kor

Item text

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

InstrumentFraboni Scale of Ageism (FSA), Korean version - 18-item form administered by Park et al. (2024)
Mean words per item11.778
Mean characters per item63.944
Mean characters per response11
Flesch-Kincaid grade level6.147

Columns

cov_agecov_educationcov_marital_statuscov_sexiditemresp

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("park_2024_ageism")
# Python
pip install irw

import irw
df = irw.fetch("park_2024_ageism")

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