30,722 responses from 2,806 respondents to 11 items.
A version of this table that keeps the option each respondent chose is fitz_2024_numeracy_nom.
One of 3 tables from the same source; this one is the numeracy table. The others are listed under Related tables.
| Description | Objective numeracy battery, 11 binary-scored items, US survey respondents; resp_raw carries the original free-text answer. 30,722 responses from 2,806 respondents on 11 items. |
|---|---|
| Reference | Fitz EB, Stecuła DA, Hitt MP, Saunders KL (2024). Objective numeracy exacerbates framing effects from decision-making under political risk. Scientific reports, 14, 10473. https://doi.org/10.1038/s41598-024-61099-y |
| DOI | 10.1038/s41598-024-61099-y |
| Licence | CC BY 4.0 |
| Source data | https://europepmc.org/article/PMC/PMC11076582 |
| Responses | 30,722 |
|---|---|
| Respondents | 2,806 |
| Items | 11 |
| Response categories | 2 |
| Responses per respondent | 10.949 |
| Responses per item | 2792.909 |
| Density | 0.995 |
| Longitudinal | FALSE |
| sample | Internet-based |
|---|---|
| measurement tool | Test |
| item format | Mixed |
| primary language(s) | eng |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | 11-item objective numeracy scale (Fitz & Kim, 2024) |
|---|---|
| Mean words per item | 25.455 |
| Mean characters per item | 126.909 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | 6.080 |
This codebook is reconstructed by the IRW from the IRW data standard. 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). | not traced |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
resp_raw | IRW standard The response as originally recorded, where resp holds a scored or recoded version of it — the letter a candidate marked (A–E), an option label, a categorical string. | not traced |
| Respondent covariates | ||
cov_age | Covariate | not traced |
cov_education | Covariate | not traced |
cov_gender | Covariate | not traced |
cov_ideology | Covariate | not traced |
cov_income | Covariate | not traced |
cov_race | Covariate | not traced |
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("fitz_2024_numeracy")
# Python
pip install irw
import irw
df = irw.fetch("fitz_2024_numeracy")
@article{Fitz_2024, title={Objective numeracy exacerbates framing effects from decision-making under political risk}, volume={14}, ISSN={2045-2322}, url={http://dx.doi.org/10.1038/s41598-024-61099-y}, DOI={10.1038/s41598-024-61099-y}, number={1}, journal={Scientific Reports}, publisher={Springer Science and Business Media LLC}, author={Fitz, Erin B. and Stecuła, Dominik A. and Hitt, Matthew P. and Saunders, Kyle L.}, year={2024}, month=May }
| IRW version | v557 |
|---|---|
| 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 v40.0 |