197,250 responses from 7,890 respondents to 25 items.
| Description | COVID-19 preventive-measures knowledge items (true/false, scored 1/0) from a Nigerian health information literacy survey. 197,250 responses from 7,890 respondents on 25 items. |
|---|---|
| Reference | Onah, U., Momohjimoh, A., & Okonkwo, E. (2021). Health information literacy of Nigerians on the preventive measures of COVID-19: A cross sectional survey data [Data set]. Mendeley Data. https://doi.org/10.17632/cf3s3v8wb3 |
| Licence | CC BY 4.0 |
| Source data | https://data.mendeley.com/datasets/cf3s3v8wb3 |
| Responses | 197,250 |
|---|---|
| Respondents | 7,890 |
| Items | 25 |
| Response categories | 2 |
| Responses per respondent | 25 |
| Responses per item | 7,890 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Internet-based |
|---|---|
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
cov_educationcov_gendercov_locationiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("onah_2021_covid_knowledge")
# Python
pip install irw
import irw
df = irw.fetch("onah_2021_covid_knowledge")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |