4,149 responses from 420 respondents to 10 items.
One of 4 tables from the same source; this one measures Attitudes toward school substance-use interventions. The others are listed under Related tables.
| Description | Agreement with school interventions against substance use, 10 statements, 1-5; N = 420 Ghanaian senior high school students; cov_age, cov_sex, cov_form, cov_religion. |
|---|---|
| Reference | Darko, R. A., & Glozah, F. N. (2025). Psychosocial factors driving common substances used among Ghanaian senior high school students. BMC Research Notes. https://doi.org/10.1186/s13104-025-07307-y |
| DOI | 10.1186/s13104-025-07307-y |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/MDDYTI |
| Responses | 4,149 |
|---|---|
| Respondents | 420 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 9.879 |
| Responses per item | 414.900 |
| Density | 0.988 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Attitudes toward school substance-use interventions |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | School interventions against substance use (study-specific) |
|---|---|
| Mean words per item | 5.800 |
| Mean characters per item | 39.700 |
| Mean characters per response | 10.200 |
| Flesch-Kincaid grade level | 8.511 |
This codebook is reconstructed by the IRW from the IRW data standard. 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). | not traced |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
| Respondent covariates | ||
cov_age | Covariate | not traced |
cov_form | Covariate | not traced |
cov_religion | Covariate | not traced |
cov_sex | Covariate | not traced |
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("darko_2025_interventions")
# Python
pip install irw
import irw
df = irw.fetch("darko_2025_interventions")
@article{Darko_2025, title={Psychosocial factors driving common substances used among Ghanaian senior high school students}, volume={18}, ISSN={1756-0500}, url={http://dx.doi.org/10.1186/s13104-025-07307-y}, DOI={10.1186/s13104-025-07307-y}, number={1}, journal={BMC Research Notes}, publisher={Springer Science and Business Media LLC}, author={Darko, Rachael Asantewaa and Glozah, Franklin N.}, year={2025}, month=May }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |