About this table

Description	Substance-use checklist (8 substances, binary used/not-used) among sexual and gender minority youth; N=414
Reference	Carney 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
DOI	10.1371/journal.pone.0290781
Licence	CC BY 4.0
Source data	https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0290781.s001

Size and shape

Responses	3,312
Respondents	414
Items	8
Response categories	2
Responses per respondent	8
Responses per item	414
Density	1
Longitudinal	FALSE

Classification

sample	Internet-based
measurement tool	Survey/questionnaire
item format	Likert 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.

Instrument	WHO ASSIST (Alcohol, Smoking and Substance Involvement Screening Test), with the alcohol indicator from the AUDIT (Alcohol Use Disorders Identification Test)
Mean words per item	12.500
Mean characters per item	75.750
Mean characters per response	30.688
Flesch-Kincaid grade level	9.227

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, carney_2023_substance_use.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.

Column	What it is	Source column
IRW standard columns
`id`	IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).	made in the build script
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
Respondent covariates
`cov_age`	Covariate	`age_raw`
`cov_bisexual`	Covariate	`bisexual`
`cov_cismen`	Covariate	`cismen`
`cov_education`	Covariate	`education_cat`
`cov_gay`	Covariate	`gay`
`cov_hispanic`	Covariate	`hispanic`
`cov_housing`	Covariate	`housing_d`
`cov_nonbinary`	Covariate	`nonbinary`
`cov_race_black`	Covariate	`race_black`
`cov_race_mixed`	Covariate	`race_mixed`
`cov_race_other`	Covariate	`race_other`
`cov_race_white`	Covariate	`race_white`
`cov_trans`	Covariate	`trans`

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant 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("carney_2023_substance_use")

# Python
pip install irw

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

How to cite

@article{Carney_2023, title={Latent class analysis of substance use typologies associated with mental and sexual health outcomes among sexual and gender minority youth}, volume={18}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0290781}, DOI={10.1371/journal.pone.0290781}, number={9}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Carney, Tara and Choi, Seul Ki and Stephenson, Rob and Bauermeister, Jose A. and Carrico, Adam W.}, editor={Demant, Daniel}, year={2023}, month=Sept, pages={e0290781} }

Version and provenance

IRW version	v549
Redivis dataset	item_response_warehouse_3 v13.0
Redivis dataset DOI	10.57761/gpg7-sg87
Manifest pin for this IRW version	v13.0
Metadata source	irw_meta v39.0