extremera_2016_ei

17,960 responses from 1,123 respondents to 16 items.

About this table

DescriptionEmotional Intelligence scale (16 items), unemployed adults, N=1123
ReferenceExtremera N, Rey L (2016). Attenuating the Negative Impact of Unemployment: The Interactive Effects of Perceived Emotional Intelligence and Well-Being on Suicide Risk. PLOS ONE, 11(9), e0163656. https://doi.org/10.1371/journal.pone.0163656
DOI10.1371/journal.pone.0163656
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0163656.s001

Size and shape

Responses17,960
Respondents1,123
Items16
Response categories7
Responses per respondent15.993
Responses per item1122.500
Density1.000
LongitudinalFALSE

Classification

age rangeAdult (18+)
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.

InstrumentWong and Law Emotional Intelligence Scale, Spanish version (WLEIS-S)
Mean words per item9.688
Mean characters per item49.250
Mean characters per response20.714
Flesch-Kincaid grade level5.686

Columns

cov_agecov_educationcov_length_unemploymentcov_marital_statuscov_sexcov_unemployment_benefitsiditemresp

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("extremera_2016_ei")
# Python
pip install irw

import irw
df = irw.fetch("extremera_2016_ei")

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