arnulf_2022_general_knowledge
4,773 responses from 398 respondents to 12 items.
About this table
| Description | General-knowledge quiz, 12 items, binary, N=398 |
| Reference | Arnulf, J. K., et al. (2022). Dispositional and ideological factor correlate of conspiracy thinking and beliefs. PLOS ONE. |
| DOI | 10.1371/journal.pone.0273763 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0273763 |
Size and shape
| Responses | 4,773 |
| Respondents | 398 |
| Items | 12 |
| Response categories | 2 |
| Responses per respondent | 11.992 |
| Responses per item | 397.750 |
| Density | 0.999 |
| Longitudinal | FALSE |
Classification
| age range | Adult (18+) |
| sample | General/non-specific |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | General Knowledge Test (short version) |
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | General Knowledge Test (short form) |
| Mean words per item | 7.250 |
| Mean characters per item | 38.667 |
| Mean characters per response | 8 |
| Flesch-Kincaid grade level | 3.513 |
Columns
cov_agecov_sexiditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("arnulf_2022_general_knowledge")
# Python
pip install irw
import irw
df = irw.fetch("arnulf_2022_general_knowledge")
Version and provenance
| 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 |