arzamoncunill_2023_epq_clinical

5,983 responses from 272 respondents to 22 items.

One of 2 tables from the same source; this one is the clinical table. The others are listed under Related tables.

About this table

Description22-item Expectations of Physiotherapists Questionnaire, clinical-care-area items (1-7 Likert), physiotherapists rating practice-management software (n=272), Spain
ReferenceArza-Moncunill E, Medina-Mirapeix F, Martin-San Agustin R (2023). Development and validity of the expectations of physiotherapists questionnaire on practice management software. PeerJ.
DOI10.7717/peerj.16246
LicenceCC BY 4.0
Source datahttps://europepmc.org/article/PMC/PMC10588714

Size and shape

Responses5,983
Respondents272
Items22
Response categories7
Responses per respondent21.996
Responses per item271.955
Density1.000
LongitudinalFALSE

Classification

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

Item text

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

InstrumentExpectations of Physiotherapists Questionnaire (EPQ), clinical care area
Mean words per item3.649
Mean characters per item28.874
Mean characters per response6.225
Flesch-Kincaid grade level12.919

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, arzamoncunill_2023_epq.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).Response_Identity
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 codebook, peerj-11-16246-s005.docx.

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("arzamoncunill_2023_epq_clinical")
# Python (needs a free Redivis account)
pip install irw

import irw
df = irw.fetch("arzamoncunill_2023_epq_clinical")

How to cite

@article{Arza_Moncunill_2023, title={Development and validity of the expectations of physiotherapists questionnaire on practice management software}, volume={11}, ISSN={2167-8359}, url={http://dx.doi.org/10.7717/peerj.16246}, DOI={10.7717/peerj.16246}, journal={PeerJ}, publisher={PeerJ}, author={Arza-Moncunill, Eduardo and Medina-Mirapeix, Francesc and Martín-San Agustín, Rodrigo}, year={2023}, month=Oct, pages={e16246} }

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