About this table

Description	Substance-use checklist (12 substances, binary yes/no) among Kenyan college students
Reference	Kinyanjui DW, Sum AM (2023). Personality traits and substance use among college students in Eldoret, Kenya. PLOS ONE, 18(5), e0286160. https://doi.org/10.1371/journal.pone.0286160
DOI	10.1371/journal.pone.0286160
Licence	CC BY 4.0
Source data	https://doi.org/10.1371/journal.pone.0286160.s001

Size and shape

Responses	4,800
Respondents	400
Items	12
Response categories	2
Responses per respondent	12
Responses per item	400
Density	1
Longitudinal	FALSE

Classification

age range	Adult (18+)
sample	Educational
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	eng

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, kinyanjui_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).	`Case`
`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`
`cov_college`	Covariate	`College`
`cov_education_years`	Covariate	`Educationyrs`
`cov_employment`	Covariate	`employment`
`cov_gender`	Covariate	`GEND1`
`cov_income_source`	Covariate	`Income`
`cov_marital_status`	Covariate	`marital`
`cov_residence`	Covariate	`Residence`

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("kinyanjui_2023_substance_use")

# Python
pip install irw

import irw
df = irw.fetch("kinyanjui_2023_substance_use")

How to cite

@article{Kinyanjui_2023, title={Personality traits and substance use among college students in Eldoret, Kenya}, volume={18}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0286160}, DOI={10.1371/journal.pone.0286160}, number={5}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Kinyanjui, Daniel Waiganjo and Sum, Ann Mwangi}, editor={Naanyu, Violet}, year={2023}, month=May, pages={e0286160} }

Version and provenance

IRW version	v566
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 v43.0