8,000 responses from 1,000 respondents to 8 items.
One of 3 tables from the same source; this one is the info_reliability table. The others are listed under Related tables.
| Description | 8-item scale rating the perceived reliability of different COVID-19 information sources (1-5) from the same survey of Japanese educators |
|---|---|
| Reference | Fukuda Y, Ando S, Fukuda K (2021) Knowledge and preventive actions toward COVID-19, vaccination intent, and health literacy among educators in Japan: An online survey. PLoS ONE. |
| DOI | 10.1371/journal.pone.0257552 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0257552.s001 |
| Responses | 8,000 |
|---|---|
| Respondents | 1,000 |
| Items | 8 |
| Response categories | 5 |
| Responses per respondent | 8 |
| Responses per item | 1,000 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Internet-based, Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | jpn |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Reliability of health and medical information sources |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 12 |
| Flesch-Kincaid grade level | -3.400 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, fukuda_2021_healthliteracy.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 |
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("fukuda_2021_info_reliability")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("fukuda_2021_info_reliability")
@article{Fukuda_2021, title={Knowledge and preventive actions toward COVID-19, vaccination intent, and health literacy among educators in Japan: An online survey}, volume={16}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0257552}, DOI={10.1371/journal.pone.0257552}, number={9}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Fukuda, Yasue and Ando, Shuji and Fukuda, Koji}, editor={Shankar, Pathiyil Ravi}, year={2021}, month=Sept, pages={e0257552} }
| IRW version | v540 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v13.0 |
| Redivis dataset DOI | 10.57761/gpg7-sg87 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v37.0 |