8,215 responses from 2,054 respondents to 4 items.
One of 16 tables from the same source; this one is the psychopathy table. The others are listed under Related tables.
| Description | Psychopathy subscale (4 items, 1-5) from a 2,054-respondent US national survey. |
|---|---|
| Reference | Enders AM, Uscinski JE, Klofstad C, Stoler J (2022). On the relationship between conspiracy theory beliefs, misinformation, and vaccine hesitancy. PLOS ONE 17(10): e0276082. |
| DOI | 10.1371/journal.pone.0276082 |
| Licence | CC0 1.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0276082 |
| Responses | 8,215 |
|---|---|
| Respondents | 2,054 |
| Items | 4 |
| Response categories | 5 |
| Responses per respondent | 4.000 |
| Responses per item | 2053.750 |
| Density | 1.000 |
| Longitudinal | FALSE |
| sample | Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, enders_2022_conspiracy_vaccine.py. 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). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_covid_vaccinated | Covariate | COVVAX |
cov_education | Covariate | EDU |
cov_gender | Covariate | GENDER |
cov_had_covid | Covariate | COVILL |
cov_ideology | Covariate | POLIDEO |
cov_income_band | Covariate | INC |
cov_party_id | Covariate | POLID |
cov_political_interest | Covariate | POLINT |
cov_state | Covariate | STATE |
cov_year_born | Covariate | YEARBORN |
What item codes and covariate values stand for is in the codebook released with the source data.
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("enders_2022_psychopathy")
# Python
pip install irw
import irw
df = irw.fetch("enders_2022_psychopathy")
@article{Enders_2022, title={On the relationship between conspiracy theory beliefs, misinformation, and vaccine hesitancy}, volume={17}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0276082}, DOI={10.1371/journal.pone.0276082}, number={10}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Enders, Adam M. and Uscinski, Joseph and Klofstad, Casey and Stoler, Justin}, editor={Jonason, Peter Karl}, year={2022}, month=Oct, pages={e0276082} }
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.10 |
| Redivis dataset DOI | 10.57761/8zbf-t397 |
| Manifest pin for this IRW version | v5.10 |
| Metadata source | irw_meta v39.0 |