16,533 responses from 1,503 respondents to 11 items.
One of 3 tables from the same source; this one is the vaccine_skepticism table. The others are listed under Related tables.
| Description | Vaccine skepticism subscale (11 items, 1-5) of a three-dimensional COVID-19 vaccine hesitancy scale. 16,533 responses from 1,503 respondents on 11 items. |
|---|---|
| Reference | Kalcza-Janosi, K., Kotta, I., & Marschalko, E. E. (2021). The development and validation of a three-dimensional COVID-19 vaccine hesitancy scale [Data set]. figshare. https://doi.org/10.6084/m9.figshare.15090891.v1 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.6084/m9.figshare.15090891.v1 |
| Responses | 16,533 |
|---|---|
| Respondents | 1,503 |
| Items | 11 |
| Response categories | 5 |
| Responses per respondent | 11 |
| Responses per item | 1,503 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, kalczajanosi_2021_vaccine_hesitancy.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). | made in the build script |
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_chronic_disease | Covariate 0 = no · 1 = yes | chronic_disease |
cov_country | Covariate 1 = RO · 2 = HU · 3 = Germany · 4 = UK · 5 = other | country |
cov_country_merged | Covariate 1 = RO · 2 = HU · 3 = other | country_merged |
cov_diagnosed_covid19 | Covariate 0 = no · 1 = yes · 2 = not sure | diagnosed_Covid19 |
cov_education | Covariate 1 = 8 grades or less · 2 = professional school/10 grades · 3 = highschool without baccalaurate · 4 = baccalaurate · 5 = college university · 6 = masters degree · 7 = Phd · 8 = other | education |
cov_flu_vaccine_past | Covariate 0 = no · 1 = yes | flu_vaccine_past |
cov_gender | Covariate 0 = male · 1 = female | gender |
cov_height_cm | Covariate | Hight_cm |
cov_hospitalization_covid19 | Covariate 0 = no · 1 = yes | hospitalization_Covid19 |
cov_optional_vaccine_past | Covariate 0 = no · 1 = yes | optional_vaccine_past |
cov_perceived_health | Covariate | Perceived_health_status |
cov_smoking | Covariate 0 = no · 1 = yes | Smoking |
cov_symptoms_severity | Covariate | symptoms_severity |
cov_vaccine_intention | Covariate 1 = do not consider · 2 = consider_without further steps · 3 = waiting list · 4 = scheduled · 5 = got the first dose_but not the second one · 6 = got the first dose_will get the second one · 7 = vaccinated · 8 = other | vaccine_intention |
cov_vaccine_intention_merged | Covariate 1 = do not consider · 2 = vaccinated · 3 = other | vaccine_intention_merged |
cov_vaccine_type | Covariate 1 = Pfizer · 2 = AstraZeneca · 3 = Moderna · 4 = Sinopharm · 5 = Szputynik · 6 = Johnson-Johnson | vaccine_type |
cov_weight_kg | Covariate | Weight_kg |
Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled 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("kalczajanosi_2021_vaccine_skepticism")
# Python
pip install irw
import irw
df = irw.fetch("kalczajanosi_2021_vaccine_skepticism")
@misc{https://doi.org/10.6084/m9.figshare.15090891,
doi = {10.6084/M9.FIGSHARE.15090891},
url = {https://figshare.com/articles/dataset/The_development_and_validation_of_a_three-dimensional_COVID-19_vaccine_hesitancy_scale/15090891},
author = {Kalcza Janosi, Kinga and Kotta, Ibolya and Marschalko, Eszter Eniko and Szabo, Kinga},
keywords = {111799 Public Health and Health Services not elsewhere classified, FOS: Health sciences},
title = {The development and validation of a three-dimensional COVID-19 vaccine hesitancy scale},
publisher = {figshare},
year = {2021},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v13.0 |
| Redivis dataset DOI | 10.57761/w8zx-td92 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v43.0 |