4,212 responses from 468 respondents to 9 items.
One of 4 tables from the same source; this one measures Suicidal ideation, plans and attempts (past month / year / lifetime). The others are listed under Related tables.
| Description | Suicidal ideation, plan and attempt, each for the past month, past year and lifetime: 9 yes/no items (0/1); N = 468 Bangladeshi dental students; demographic cov_* columns. |
|---|---|
| Reference | Faruk, M. O., Shova, T. Z., & Hosen, I. (2021). Dataset on mental health, suicidal behaviors, literacy and stigma in Bangladeshi dental students. Mendeley Data. https://doi.org/10.17632/ycv96d9pf3 |
| Licence | CC BY 4.0 |
| Source data | https://data.mendeley.com/datasets/ycv96d9pf3 |
| Responses | 4,212 |
|---|---|
| Respondents | 468 |
| Items | 9 |
| Response categories | 2 |
| Responses per respondent | 9 |
| Responses per item | 468 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Suicidal ideation, plans and attempts (past month / year / lifetime) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, faruk_2021_dental_students.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_family_income | Covariate | Income |
cov_family_type | Covariate | Familytype |
cov_gender | Covariate | Gender |
cov_institute_location | Covariate | Institute |
cov_religion | Covariate | Religion |
cov_residence | Covariate | Residnce |
cov_smoker | Covariate | Smoker |
cov_study_year | Covariate | Study_yr |
cov_substance_use | Covariate | Drug |
What item codes and covariate values stand for is in the codebook released with the source data.
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("faruk_2021_suicidal_behavior")
# Python
pip install irw
import irw
df = irw.fetch("faruk_2021_suicidal_behavior")
@misc{https://doi.org/10.17632/ycv96d9pf3,
doi = {10.17632/YCV96D9PF3},
url = {https://data.mendeley.com/datasets/ycv96d9pf3},
author = {Mamun, Mohammed},
keywords = {Depression, Anxiety, Suicide, Literacy, Stigma, Suicidal Behavior},
title = {Dataset on mental health, suicidal behaviors, literacy and stigma in Bangladeshi dental students},
publisher = {Mendeley},
year = {2021}
}
| 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 |