carney_2023_substance_use

3,312 responses from 414 respondents to 8 items.

About this table

DescriptionSubstance-use checklist (8 substances, binary used/not-used) among sexual and gender minority youth; N=414
ReferenceCarney T., Choi S., Stephenson R., Bauermeister J., Carrico A. (2023). Latent class analysis of substance use typologies associated with mental and sexual health outcomes among sexual and gender minority youth. PLOS ONE. https://doi.org/10.1371/journal.pone.0290781
DOI10.1371/journal.pone.0290781
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0290781.s001

Size and shape

Responses3,312
Respondents414
Items8
Response categories2
Responses per respondent8
Responses per item414
Density1
LongitudinalFALSE

Classification

sampleInternet-based
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng

Item text

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

InstrumentWHO ASSIST (Alcohol, Smoking and Substance Involvement Screening Test), with the alcohol indicator from the AUDIT (Alcohol Use Disorders Identification Test)
Mean words per item12.500
Mean characters per item75.750
Mean characters per response30.688
Flesch-Kincaid grade level9.227

Columns

cov_agecov_bisexualcov_cismencov_educationcov_gaycov_hispaniccov_housingcov_nonbinarycov_race_blackcov_race_mixedcov_race_othercov_race_whitecov_transiditemresp

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("carney_2023_substance_use")
# Python
pip install irw

import irw
df = irw.fetch("carney_2023_substance_use")

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