666 responses from 253 respondents to 4 items.
| Description | COVID-19 vaccine conspiracy-belief items, 4 items (Yes/No; Not-sure dropped as non-response), urban Ghana population |
|---|---|
| Reference | Taylor-Abdulai HB, Dzantor EK, Mensah NK, Asumah MN, Ocansey S, Arhin SK, et al. (2025) Coronavirus disease 2019 (COVID-19) vaccine acceptability in Ghana: An urban-based population study. PLoS ONE. |
| DOI | 10.1371/journal.pone.0319798 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0319798.s001 |
| Responses | 666 |
|---|---|
| Respondents | 253 |
| Items | 4 |
| Response categories | 2 |
| Responses per respondent | 2.632 |
| Responses per item | 166.500 |
| Density | 0.658 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
cov_agecov_educationcov_occupationcov_religioncov_sexiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("taylorabdulai_2025_conspiracy")
# Python
pip install irw
import irw
df = irw.fetch("taylorabdulai_2025_conspiracy")
| 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 |