alsuhibani_2022_gcbs

32,190 responses from 2,146 respondents to 15 items.

About this table

Description15-item Generic Conspiracist Beliefs Scale (GCBS) -- combined across Studies 2-3 (Study 3 text confirms same 15 items as Study 2 minus 2 extras; ids offset per study)
ReferenceAlsuhibani A, Shevlin M, Freeman D, Sheaves B, Bentall RP (2022). Why conspiracy theorists are not always paranoid: Conspiracy theories and paranoia form separate factors with distinct psychological predictors. PLOS ONE, 17(4), e0259053. https://doi.org/10.1371/journal.pone.0259053
DOI10.1371/journal.pone.0259053
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0259053.s003

Size and shape

Responses32,190
Respondents2,146
Items15
Response categories5
Responses per respondent15
Responses per item2,146
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleRepresentative
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameGeneric Conspiracist Beliefs Scale (GCBS)

Item text

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

InstrumentGeneric Conspiracist Beliefs Scale (GCBS)
Mean words per item15.533
Mean characters per item99.533
Mean characters per response17.200
Flesch-Kincaid grade level11.025

Columns

cov_agecov_sexiditemresp

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("alsuhibani_2022_gcbs")
# Python
pip install irw

import irw
df = irw.fetch("alsuhibani_2022_gcbs")

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