afaya_2020_medication_knowledge
3,300 responses from 330 respondents to 10 items.
About this table
| Description | Diabetes medication-knowledge subscale, Ghanaian patients, 10 items, N=330 |
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| Reference | Afaya, R. A., et al. (2020). Medication adherence and self-care behaviours among patients with type 2 diabetes mellitus in Ghana. PLOS ONE. |
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| DOI | 10.1371/journal.pone.0237710 |
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| Licence | CC BY 4.0 |
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| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0237710 |
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Size and shape
| Responses | 3,300 |
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| Respondents | 330 |
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| Items | 10 |
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| Response categories | 3 |
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| Responses per respondent | 10 |
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| Responses per item | 330 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| sample | Clinical |
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| construct type | Cognitive/educational |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | eng |
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| construct name | Diabetes knowledge (medication knowledge subscale) |
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Columns
cov_agecov_educationcov_sexiditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("afaya_2020_medication_knowledge")
# Python
pip install irw
import irw
df = irw.fetch("afaya_2020_medication_knowledge")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_3 v7.0 |
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| Redivis dataset DOI | 10.57761/pqqn-pm43 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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