440 responses from 110 respondents to 4 items.
One of 3 tables from the same source; this one measures Short Form Perceived Stress Scale (PSS-4). The others are listed under Related tables.
| Description | Perceived stress scale |
|---|---|
| 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 | 440 |
|---|---|
| Respondents | 110 |
| Items | 4 |
| Response categories | 5 |
| Responses per respondent | 4 |
| Responses per item | 110 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Short Form Perceived Stress Scale (PSS-4) |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Perceived stress scale |
|---|---|
| Mean words per item | 19 |
| Mean characters per item | 101.500 |
| Mean characters per response | 9.600 |
| Flesch-Kincaid grade level | 7.702 |
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 |
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("kfcovid_pss_Li2020")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("kfcovid_pss_Li2020")
@article{Li_2020, title={Psychometric data on knowledge and fear of coronavirus disease 2019 and perceived stress among workers of filipino origin in Hong Kong}, volume={33}, ISSN={2352-3409}, url={http://dx.doi.org/10.1016/j.dib.2020.106395}, DOI={10.1016/j.dib.2020.106395}, journal={Data in Brief}, publisher={Elsevier BV}, author={Li, David Chun Yin and Leung, Ling}, year={2020}, month=dec, pages={106395} }
| IRW version | v540 |
|---|---|
| Redivis dataset | item_response_warehouse v70.0 |
| Redivis dataset DOI | 10.57761/4qxs-pq87 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v37.0 |