3,016 responses from 1,508 respondents to 2 items.
| Description | 2 extra contradictory-conspiracy-theory items asked only in Study 2 alongside GCBS |
|---|---|
| Reference | Alsuhibani 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 |
| DOI | 10.1371/journal.pone.0259053 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0259053.s003 |
| Responses | 3,016 |
|---|---|
| Respondents | 1,508 |
| Items | 2 |
| Response categories | 5 |
| Responses per respondent | 2 |
| Responses per item | 1,508 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Representative |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Generic Conspiracist Beliefs Scale - contradictory-conspiracy items |
cov_agecov_sexiditemresp
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_extra_s2")
# Python
pip install irw
import irw
df = irw.fetch("alsuhibani_2022_gcbs_extra_s2")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |