360emergencymed_azami_2024

16,225 responses from 295 respondents to 55 items.

About this table

DescriptionClinical Performance (360-degree Evaluation Instrument)
ReferenceAzami, G., Aazami, S., Ebrahimy, B., & Emami, P. (2024). Development and psychometric evaluation of a 360-degree evaluation instrument to assess medical students’ performance in clinical settings at the emergency medicine department in Iran: a methodological study. Journal of Educational Evaluation for Health Professions, 21(1), 7-0.
DOI10.3352/jeehp.2024.21.7
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VU213G

Size and shape

Responses16,225
Respondents295
Items55
Response categories4
Responses per respondent55
Responses per item295
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
construct typeBehavioral
measurement toolObservational rating
item formatLikert Scale/selected response
primary language(s)fas
construct nameClinical Performance (360-degree Evaluation Instrument)

Item text

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

InstrumentClinical Performance (360-degree Evaluation Instrument)
Mean words per item16.782
Mean characters per item112.655
Mean characters per response16.250
Flesch-Kincaid grade level12.294

Columns

iditemresp

Get the data

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("360emergencymed_azami_2024")
# Python
pip install git+https://github.com/itemresponsewarehouse/Python-pkg.git

import irw
df = irw.fetch("360emergencymed_azami_2024")

Browse or download it directly on Redivis, or take the Croissant description of this table for use with Hugging Face, Kaggle or OpenML.

Version and provenance

IRW versionv332
Redivis datasetitem_response_warehouse_2 v13.0
Redivis dataset DOI10.57761/q8hk-wa64
Manifest pin for this IRW versionv12.0
Metadata sourceirw_meta v19.3