extremera_2016_sbq

3,843 responses from 961 respondents to 4 items.

About this table

DescriptionSuicide Behaviours Questionnaire (SBQ-R, 4 items), unemployed adults, N=961
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

Responses3,843
Respondents961
Items4
Response categories7
Responses per respondent3.999
Responses per item960.750
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.

InstrumentSuicidal Behaviours Questionnaire—Revised (SBQ-R)
Mean words per item1
Mean characters per item2
Mean characters per response27.696
Flesch-Kincaid grade level-3.400

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_sbq")
# Python
pip install irw

import irw
df = irw.fetch("extremera_2016_sbq")

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