evans_2023_vaccine_hesitancy

17,750 responses from 1,933 respondents to 5 items.

About this table

DescriptionVaccine hesitancy index (5 items 1-5 Likert Strongly disagree-Strongly agree) 3 waves treat=campaign vs comparison state N=1933 Nigerian Facebook users
ReferenceEvans WD et al. (2023) Outcomes of a social media campaign to promote COVID-19 vaccination in Nigeria. PLOS ONE.
DOI10.1371/journal.pone.0290757
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0290757.s003

Size and shape

Responses17,750
Respondents1,933
Items5
Response categories5
Responses per respondent9.183
Responses per item3,550
Density1.837
LongitudinalTRUE

Classification

sampleInternet-based
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentVaccine Hesitancy Index (five items reflecting the Five Cs framework, adapted from Betsch et al.'s 5C scale)
Mean words per item11.600
Mean characters per item74.600
Mean characters per response14
Flesch-Kincaid grade level9.365

Columns

cov_agegrpcov_educov_empsectcov_gendercov_religioniditemresptreatwave

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("evans_2023_vaccine_hesitancy")
# Python
pip install irw

import irw
df = irw.fetch("evans_2023_vaccine_hesitancy")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0