23,715 responses from 1,581 respondents to 15 items.
One of 3 tables from the same source; this one measures Belief in specific conspiracy theories. The others are listed under Related tables.
| Description | Belief in 15 specific conspiracy theories, 1-5; N = 1,581 adults in Australia and New Zealand across two online studies (2021); cov_study, cov_age, cov_gender, cov_education, cov_political, cov_country. |
|---|---|
| Reference | Fox, N., & Williams, M. N. (2024). Do stress and anxiety lead to belief in conspiracy theories? Routledge Open Research, 2:30. https://doi.org/10.12688/routledgeopenres.17925.2 |
| DOI | 10.12688/routledgeopenres.17925.2 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/sfuz9/ |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 23,715 |
|---|---|
| Respondents | 1,581 |
| Items | 15 |
| Response categories | 5 |
| Responses per respondent | 15 |
| Responses per item | 1,581 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Belief in specific conspiracy theories |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Belief in specific conspiracy theories (15 items, study-specific) |
|---|---|
| Mean words per item | 19 |
| Mean characters per item | 117.267 |
| Mean characters per response | 17.600 |
| Flesch-Kincaid grade level | 12.635 |
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.
| 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). | not traced |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
| Respondent covariates | ||
cov_age | Covariate | not traced |
cov_country | Covariate | not traced |
cov_education | Covariate | not traced |
cov_gender | Covariate | not traced |
cov_political | Covariate | not traced |
cov_study | Covariate | not traced |
What item codes and covariate values stand for is in the source’s codebook, dkc9w.
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("fox_2023_bct")
# Python
pip install irw
import irw
df = irw.fetch("fox_2023_bct")
@article{Fox_2024, title={Do stress and anxiety lead to belief in conspiracy theories?}, volume={2}, ISSN={2755-1245}, url={http://dx.doi.org/10.12688/routledgeopenres.17925.2}, DOI={10.12688/routledgeopenres.17925.2}, journal={Routledge Open Research}, publisher={F1000 Research Ltd}, author={Fox, Nick and Williams, Matt N.}, year={2024}, month=Nov, pages={30} }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |