About this table

Description	Mental Health Literacy questionnaire (MHLq), 16 agreement items (knowledge, beliefs/stereotypes, help-seeking, self-help), 1 strongly disagree - 5 strongly agree; N = 650 adult attendants of hospital patients in Bangladesh; cov_age, cov_gender, cov_marital_status, cov_religion, cov_occupation, cov_education, cov_residence, cov_family_mental_illness.
Reference	Karim, M. R. (2026). Mental health Literacy Data. figshare. https://doi.org/10.6084/m9.figshare.34001664
Licence	CC BY 4.0
Source data	https://figshare.com/articles/dataset/Mental_health_Literacy_Data/34001664

Size and shape

Responses	10,400
Respondents	650
Items	16
Response categories	5
Responses per respondent	16
Responses per item	650
Density	1
Longitudinal	FALSE

Classification

age range	Adult (18+)
sample	Targeted/specific
construct type	Cognitive/educational
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	eng
construct name	Mental health literacy (MHLq)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, karim_2026_mhl.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`
`cov_education`	Covariate	`Edu_quali`
`cov_family_mental_illness`	Covariate	`Fam_mi`
`cov_gender`	Covariate	`Sex`
`cov_marital_status`	Covariate	`Mar_st`
`cov_occupation`	Covariate	`Occup`
`cov_religion`	Covariate	`Religion`
`cov_residence`	Covariate	`Place_res`

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("karim_2026_mhl")

# Python
pip install irw

import irw
df = irw.fetch("karim_2026_mhl")

How to cite

@misc{https://doi.org/10.6084/m9.figshare.34001664,
  doi = {10.6084/M9.FIGSHARE.34001664},
  url = {https://figshare.com/articles/dataset/Mental_health_Literacy_Data/34001664},
  author = {Karim, Md Rizwanul},
  keywords = {Behavioural ecology},
  title = {Mental health Literacy Data},
  publisher = {figshare},
  year = {2026},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW version	v584
Redivis dataset	item_response_warehouse_7 v1.1
Redivis dataset DOI	10.57761/7pd3-sh31
Manifest pin for this IRW version	v1.0
Metadata source	irw_meta v44.0