KoreanNursing_Park_2017

37,000 responses from 740 respondents to 50 items.

About this table

Description50 case-based items for Korean Nursing Licensing Examination
ReferencePark, I. S., Suh, Y. O., Park, H. S., Kang, S. Y., Kim, K. S., Kim, G. H., ... & Kim, H. J. (2017). Item development process and analysis of 50 case-based items for implementation on the Korean Nursing Licensing Examination. Journal of Educational Evaluation for Health Professions, 14. In Sook Park; Yeon Ok Suh; Hae Sook Park; So Young Kang; Kwang Sung Kim; Gyung Hee Kim; Yeon-Hee Choi; Hyun- Ju Kim, 2017, "Item development process and analysis of 50 case-based items for implementation on the Korean Nursing Licensing Examination", https://doi.org/10.7910/DVN/ECDLXG, Harvard Dataverse, V1, UNF:6:shNzwVl94qevZqMWdC/njw== [fileUNF]
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/ECDLXG

Size and shape

Responses37,000
Respondents740
Items50
Response categories2
Responses per respondent50
Responses per item740
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleClinical
construct typeCognitive/educational
measurement toolTest
item formatLikert Scale/selected response
primary language(s)kor
construct nameClinical Problem-Solving Skills and Integrated Nursing Knowledge

Item text

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

InstrumentKorean Nursing Licensing Examination mock examination: 50 case-based items (Park et al., 2017)
Mean words per item1
Mean characters per item2
Mean characters per response8
Flesch-Kincaid grade level-3.400

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("KoreanNursing_Park_2017")
# Python
pip install irw

import irw
df = irw.fetch("KoreanNursing_Park_2017")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0