35,064 responses from 1,461 respondents to 24 items.
One of 2 tables from the same source; this one measures COVID-19 knowledge (study-specific). The others are listed under Related tables.
| Description | COVID-19 knowledge items from the authors' own survey, 24 binary items scored 1 = correct (each tick-all-that-apply option is an item, scored against the questionnaire's key; Q11 single choice; resp_raw = the tick or option chosen), 1,461 Chinese college students surveyed online 4-7 Feb 2020 during quarantine; cov_gender, cov_age, cov_grade, cov_major, cov_parent_health, cov_known_case, cov_known_contact, cov_school_hubei, cov_home_hubei. |
|---|---|
| Reference | Ding, Y., Du, X., Li, Q., Zhang, M., Zhang, Q., Tan, X., & Liu, Q. (2020). Risk perception of coronavirus disease 2019 (COVID-19) and its related factors among college students in China during quarantine. PLOS ONE, 15(8), e0237626. |
| DOI | 10.1371/journal.pone.0237626 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0237626 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 35,064 |
|---|---|
| Respondents | 1,461 |
| Items | 24 |
| Response categories | 2 |
| Responses per respondent | 24 |
| Responses per item | 1,461 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, Internet-based |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
| construct name | COVID-19 knowledge (study-specific) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | COVID-19 knowledge items (Part three) of the authors' cognition-attitude survey of Chinese college students, Ding et al. (2020) |
|---|---|
| Mean words per item | 6.846 |
| Mean characters per item | 38.308 |
| Mean characters per response | 3.173 |
| Flesch-Kincaid grade level | 5.811 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, ding_2020_covid_students.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). | ID |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
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. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | Q2 |
cov_gender | Covariate | Q1 |
cov_grade | Covariate | Q5 |
cov_home_hubei | Covariate | made in the build script |
cov_known_case | Covariate | made in the build script |
cov_known_contact | Covariate | made in the build script |
cov_major | Covariate | Q6 |
cov_parent_health | Covariate | Q9 |
cov_school_hubei | Covariate | made in the build script |
What item codes and covariate values stand for is in the source’s codebook, file.
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("ding_2020_covid_knowledge")
# Python
pip install irw
import irw
df = irw.fetch("ding_2020_covid_knowledge")
@article{Ding_2020, title={Risk perception of coronavirus disease 2019 (COVID-19) and its related factors among college students in China during quarantine}, volume={15}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0237626}, DOI={10.1371/journal.pone.0237626}, number={8}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Ding, Yani and Du, Xueying and Li, Qinmei and Zhang, Miao and Zhang, Qingjun and Tan, Xiaodong and Liu, Qing}, editor={Yi, Siyan}, year={2020}, month=Aug, pages={e0237626} }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |