buczel_2022_inoculation_belief

822 responses from 137 respondents to 6 items.

About this table

Description6-item misinformation/retraction belief-rating scale (1-11), from an inoculation-technique experiment on the continued influence effect
ReferenceBuczel KA, Szyszka PD, Siwiak A, Szpitalak M, Polczyk R (2022) Vaccination against misinformation: The inoculation technique reduces the continued influence effect. PLoS ONE 17(4): e0267463.
DOI10.1371/journal.pone.0267463
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0267463.s001&type=supplementary

Size and shape

Responses822
Respondents137
Items6
Response categories11
Responses per respondent6
Responses per item137
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational, Internet-based
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)pol

Item text

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

InstrumentBelief in misinformation and belief in retraction rating scales (continued influence effect scenarios)
Mean words per item56
Mean characters per item415.333
Mean characters per response1.091
Flesch-Kincaid grade level16.184

Columns

cov_agecov_educationcov_genderiditemresptreat

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("buczel_2022_inoculation_belief")
# Python
pip install irw

import irw
df = irw.fetch("buczel_2022_inoculation_belief")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_4 v7.0
Redivis dataset DOI10.57761/cpj5-vm97
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0