22,556 responses from 2,054 respondents to 11 items.
One of 16 tables from the same source; this one is the science_literacy table. The others are listed under Related tables.
| Description | Science literacy knowledge test (11 dichotomous items) 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 | 22,556 |
|---|---|
| Respondents | 2,054 |
| Items | 11 |
| Response categories | 2 |
| Responses per respondent | 10.981 |
| Responses per item | 2050.545 |
| Density | 0.998 |
| Longitudinal | FALSE |
| sample | Internet-based |
|---|---|
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Science literacy |
|---|---|
| Mean words per item | 9.909 |
| Mean characters per item | 55 |
| Mean characters per response | 4.500 |
| Flesch-Kincaid grade level | 6.570 |
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:
# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("enders_2022_science_literacy")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("enders_2022_science_literacy")
@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 | v540 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.9 |
| Redivis dataset DOI | 10.57761/vzgw-d311 |
| Manifest pin for this IRW version | v5.8 |
| Metadata source | irw_meta v37.0 |