1,432 responses from 179 respondents to 8 items.
One of 4 tables from the same source; this one is the knowledge table. The others are listed under Related tables.
| Description | ABCD-M (Malay Attitudes and Beliefs about Cardiovascular Disease risk questionnaire) knowledge of stroke risk and prevention: 8 true/false statements, scored 1 = correct, 0 = incorrect or don't know. Malay adults aged 18-66 attending government health clinics in Kelantan, Malaysia (Malay administration). N=179. |
|---|---|
| Reference | Mat Said Z, Tengku Ismail TA, Abdul Hamid A, Sahathevan R, Abdul Aziz Z, Musa KI (2022). The Malay version of the attitudes and beliefs about cardiovascular disease (ABCD-M) risk questionnaire: a translation, reliability and validation study. BMC Public Health, 22, 1412. https://doi.org/10.1186/s12889-022-13811-8 |
| DOI | 10.1186/s12889-022-13811-8 |
| Licence | CC BY 4.0 |
| Source data | https://europepmc.org/article/PMC/PMC9310389 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 1,432 |
|---|---|
| Respondents | 179 |
| Items | 8 |
| Response categories | 2 |
| Responses per respondent | 8 |
| Responses per item | 179 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Clinical |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | may |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, matsaid_2022_abcdm.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). | ID |
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_clinic | Covariate | CLINIC |
cov_district | Covariate | DISTRICT |
cov_education | Covariate | EDUCATION |
cov_gender | Covariate | GENDER |
cov_income | Covariate | INCOME |
cov_marital_status | Covariate | STATUS |
cov_occupation | Covariate | OCCUPATION |
What item codes and covariate values stand for is in the source’s codebook, 12889_2022_13811_MOESM2_ESM.pdf.
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("matsaid_2022_abcdm_knowledge")
# Python
pip install irw
import irw
df = irw.fetch("matsaid_2022_abcdm_knowledge")
@article{Mat_Said_2022, title={The Malay version of the attitudes and beliefs about cardiovascular disease (ABCD-M) risk questionnaire: a translation, reliability and validation study}, volume={22}, ISSN={1471-2458}, url={http://dx.doi.org/10.1186/s12889-022-13811-8}, DOI={10.1186/s12889-022-13811-8}, number={1}, journal={BMC Public Health}, publisher={Springer Science and Business Media LLC}, author={Mat Said, Zarudin and Tengku Ismail, Tengku Alina and Abdul Hamid, Anees and Sahathevan, Ramesh and Abdul Aziz, Zariah and Musa, Kamarul Imran}, year={2022}, month=July }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.11 |
| Redivis dataset DOI | 10.57761/qahq-j855 |
| Manifest pin for this IRW version | v5.11 |
| Metadata source | irw_meta v44.0 |