akrawi_2025_sclc

1,677 responses from 129 respondents to 13 items.

About this table

Description13-item Student Satisfaction and Self-Confidence in Learning Scale (SCLC), Dutch version, 5-point Likert, from pharmacy technicians in simulation-based training
ReferenceAkrawi N, Rietdijk WJ, Koch BC, van Rosse F, van der Sijs H (2025) The validity and reliability of the Dutch version of the Student Satisfaction and Self-Confidence in Learning Scale (SCLC) for pharmacy technicians. PLoS ONE 20(9): e0331115.
DOI10.1371/journal.pone.0331115
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0331115.s010&type=supplementary

Size and shape

Responses1,677
Respondents129
Items13
Response categories5
Responses per respondent13
Responses per item129
Density1
LongitudinalFALSE

Classification

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

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, akrawi_2025_sclc.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script

What item codes and covariate values stand for is in the source’s questionnaire, S8_File.pdf, S9_File.pdf, which show the item wording.

Get the data

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

Or load it directly in R or Python:

# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("akrawi_2025_sclc")
# Python (needs a free Redivis account)
pip install irw

import irw
df = irw.fetch("akrawi_2025_sclc")

How to cite

@article{Akrawi_2025, title={The validity and reliability of the Dutch version of the Student Satisfaction and Self-Confidence in Learning Scale (SCLC) for pharmacy technicians}, volume={20}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0331115}, DOI={10.1371/journal.pone.0331115}, number={9}, journal={PLOS One}, publisher={Public Library of Science (PLoS)}, author={Akrawi, Narin and Rietdijk, Wim J.R. and Koch, Birgit C.P. and van Rosse, Floor and van der Sijs, Heleen}, editor={Ibrahim, Mohd Ismail}, year={2025}, month=Sept, pages={e0331115} }

Version and provenance

IRW versionv540
Redivis datasetitem_response_warehouse_4 v13.0
Redivis dataset DOI10.57761/w8zx-td92
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v37.0