frost_2023_cbq

5,998 responses from 200 respondents to 30 items.

One of 2 tables from the same source; this one measures Cognitive Biases Questionnaire for psychosis (CBQp). The others are listed under Related tables.

About this table

DescriptionCognitive Biases Questionnaire for psychosis, 30 items, 1-3; N = 200 US adults (online); cov_gender, cov_education.
ReferenceFrost, P., Simard, A., Iraci, M., & Stack, M. (2025). Cognitive Biases Associated With Specific and Generalized Beliefs in Conspiracy Theory. Applied Cognitive Psychology. https://doi.org/10.1002/acp.70045
DOI10.1002/acp.70045
LicenceCC BY 4.0
Source datahttps://figshare.com/articles/dataset/24156723

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses5,998
Respondents200
Items30
Response categories3
Responses per respondent29.990
Responses per item199.933
Density1.000
LongitudinalFALSE

Classification

sampleInternet-based
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameCognitive Biases Questionnaire for psychosis (CBQp)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard. 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.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).not traced
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
Respondent covariates
cov_educationCovariate not traced
cov_genderCovariate not traced

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

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

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("frost_2023_cbq")
# Python
pip install irw

import irw
df = irw.fetch("frost_2023_cbq")

How to cite

@article{Frost_2025, title={Cognitive Biases Associated With Specific and Generalized Beliefs in Conspiracy Theory}, volume={39}, ISSN={1099-0720}, url={http://dx.doi.org/10.1002/acp.70045}, DOI={10.1002/acp.70045}, number={2}, journal={Applied Cognitive Psychology}, publisher={Wiley}, author={Frost, Peter J. and Simard, Alyssa and Iraci, Lauren and Stack, Serena and Gould‐Faulkner, Carolyn and Alexakos, Abby and Fernandez, Manny and Oza, Shubham}, year={2025}, month=Mar }

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0