4,920 responses from 492 respondents to 5 items.
| Description | Item-level responses from the General Measure of Conspiracism (GMC), adminstered twice in the study. |
|---|---|
| Reference | Kay, C. S., & Slovic, P. (2025). Assessing conspiracist ideation reliably, validly, and efficiently: A psychometric comparison of five Short-Form measures. Assessment. https://doi.org/10.1177/10731911251319933 |
| DOI | 10.1177/10731911251319933 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/uzrgk/files/osfstorage?view_only=aca403a5146240bda740e1e6d640751f |
| Responses | 4,920 |
|---|---|
| Respondents | 492 |
| Items | 5 |
| Response categories | 7 |
| Responses per respondent | 10 |
| Responses per item | 984 |
| Density | 2 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | General Measure of Conspiracism (GMC) |
cov_agecov_genderiditemrespwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("gmc_kay_2025")
# Python
pip install irw
import irw
df = irw.fetch("gmc_kay_2025")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |