1,320 responses from 110 respondents to 12 items.
| Description | Knowledge of COVID |
|---|---|
| Reference | Li, D. C. Y., & Leung, L. (2020). Psychometric data on knowledge and fear of coronavirus disease 2019 and perceived stress among workers of filipino origin in Hong Kong. Data in brief, 33, 106395. |
| DOI | 10.1016/j.dib.2020.106395 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/m2v3h/ |
| Responses | 1,320 |
|---|---|
| Respondents | 110 |
| Items | 12 |
| Response categories | 2 |
| Responses per respondent | 12 |
| Responses per item | 110 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Knowledge of COVID |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | COVID-19 knowledge questionnaire (twelve true/false items adapted from Zhong et al. 2020) |
|---|---|
| Mean words per item | 15 |
| Mean characters per item | 93.167 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | 9.641 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("kfcovid_Li2020")
# Python
pip install irw
import irw
df = irw.fetch("kfcovid_Li2020")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |