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

Columns

cov_agecov_contract_typecov_departmentcov_educationcov_experiencecov_gendercov_shiftsiditemresp

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("avilesgonzalez2019_ces")
# Python
pip install irw

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

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0