9,313 responses from 691 respondents to 14 items.
| Description | Pittsburgh Sleep Quality Index frequency and severity items (14 items, 0-3) from 691 medical students at the Chinese University of Hong Kong, 2017. |
|---|---|
| Reference | Lee KP, Yeung N, Wong C, Yip B, Luk LHF, Wong S (2020). Prevalence of medical students' burnout and its associated demographics and lifestyle factors in Hong Kong. PLOS ONE 15(7): e0235154. https://doi.org/10.1371/journal.pone.0235154 |
| DOI | 10.1371/journal.pone.0235154 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0235154 |
| Responses | 9,313 |
|---|---|
| Respondents | 691 |
| Items | 14 |
| Response categories | 4 |
| Responses per respondent | 13.478 |
| Responses per item | 665.214 |
| Density | 0.963 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
cov_agecov_clinical_stagecov_first_degreecov_gendercov_marital_statuscov_place_of_livingcov_scholarshipcov_smokecov_study_yeariditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("lee_2020_sleep_quality")
# Python
pip install irw
import irw
df = irw.fetch("lee_2020_sleep_quality")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |