avilesgonzalez2019_ces

6,448 responses from 215 respondents to 30 items.

About this table

DescriptionCES (Caring Efficacy Scale, Coates 1997), 1-7 Likert; N=215, 30 items, Italian nurses
ReferenceAviles Gonzalez, C. I., Galletta, M., Melis, P., Contu, P., Watson, J., Finco, G., & Jimenez Herrera, M. F. (2019). Cultural adaptation and psychometric validation of the Caring Efficacy scale in a sample of Italian nurses. PLOS ONE.
DOI10.1371/journal.pone.0217106
LicenceCC BY 4.0
Source datahttps://plos.figshare.com/articles/dataset/Cultural_adaptation_and_psychometric_validation_of_the_Caring_Efficacy_scale_in_a_sample_of_Italian_nurses/8177303

Size and shape

Responses6,448
Respondents215
Items30
Response categories6
Responses per respondent29.991
Responses per item214.933
Density1.000
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleWorkplace
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ita

Item text

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

InstrumentCaring Efficacy Scale (Italian version)
Mean words per item14.567
Mean characters per item84.433
Mean characters per response15.500
Flesch-Kincaid grade level9.006

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, avilesgonzalez2019_ces.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).ID
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate age
cov_contract_typeCovariate 1 = FIXED-TERM CONTRACT · 2 = PERMANENT CONTRACT · 3 = WORK AGENCYcontractual
cov_departmentCovariate
20 labelled values1 = emergency · 2 = intensive care unit · 3 = MEDicine · 4 = ophthalmology · 5 = CARDIOLOGY · 6 = COLLECTION CENTER · 8 = SURGERY · 10 = PHYSIATRY · 11 = NEUROLOGY · 12 = PUBLIC RELATION OFFICE · 13 = THEATER ROOM · 14 = NURSERY · 15 = OTOLARYNGOLOGY · 16 = ONCOLOGY · 17 = HEMODYNAMICS · 18 = MEDICAL MANAGEMENT · 19 = ANESTHESIA · 20 = PHONOAUDIOLOGY · 21 = gastroENTEROLOGY · 22 = NEONATAL PATHOLOGY
department
cov_educationCovariate 1 = THREE YEAR DIPLOMA · 2 = THREE-YEAR DEGREE · 3 = FIRST LEVEL MASTEReducation
cov_experienceCovariate 1 = LESS THAN 3 YEARS · 2 = FROM 4 TO 9 YEARS · 3 = MORE THAN 10 YEARSexperience
cov_genderCovariate gender
cov_shiftsCovariate 1 = OUT OF TURN · 2 = ON A SHIFT · 3 = OVER TWO SHIFTSshifts

Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled values stand for is in the codebook released with the source data.

Get the data

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

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("avilesgonzalez2019_ces")
# Python
pip install irw

import irw
df = irw.fetch("avilesgonzalez2019_ces")

How to cite

@article{Aviles_Gonzalez_2019, title={Cultural adaptation and psychometric validation of the Caring Efficacy scale in a sample of Italian nurses}, volume={14}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0217106}, DOI={10.1371/journal.pone.0217106}, number={5}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Aviles Gonzalez, Cesar Ivan and Galletta, Maura and Melis, Paola and Contu, Paolo and Watson, Jean and Finco, Gabriele and Jimenez Herrera, Maria Francisca}, editor={Palese, Alvisa}, year={2019}, month=May, pages={e0217106} }

Version and provenance

IRW versionv569
Redivis datasetitem_response_warehouse_3 v14.0
Redivis dataset DOI10.57761/rkkt-p907
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v43.0