albeitawi_2025_preceptor_needs

2,800 responses from 400 respondents to 7 items.

About this table

DescriptionPriority ratings (4-pt ordinal) of 7 clinical teaching-skill domains from 400 clinical educators across 6 Jordanian universities/hospitals, informing preceptor development program design.
ReferenceAlbeitawi et al. (2025). Assessment of clinical medical education needs inform design of a preceptor development program in Jordan. PLOS ONE.
DOI10.1371/journal.pone.0337101
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0337101

Size and shape

Responses2,800
Respondents400
Items7
Response categories4
Responses per respondent7
Responses per item400
Density1
LongitudinalFALSE

Classification

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

Item text

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

InstrumentTraining Need Assessment for Clinical Preceptors
Mean words per item3.571
Mean characters per item26.429
Mean characters per response13.500
Flesch-Kincaid grade level9.875

Columns

cov_gendercov_health_sectorcov_specialty_categorycov_universitycov_years_experienceiditemresp

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("albeitawi_2025_preceptor_needs")
# Python
pip install irw

import irw
df = irw.fetch("albeitawi_2025_preceptor_needs")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_4 v7.0
Redivis dataset DOI10.57761/cpj5-vm97
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0