2,814 responses from 938 respondents to 3 items.
| Description | De Jong Gierveld & Van Tilburg Loneliness Scale, social subscale, 3 items |
|---|---|
| Reference | Tuason, M. T., Guss, C. D., & Boyd, L. (2021). Thriving during COVID-19: Predictors of psychological well-being and ways of coping. PLOS ONE. https://doi.org/10.1371/journal.pone.0248591 |
| DOI | 10.1371/journal.pone.0248591 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0248591 |
| Responses | 2,814 |
|---|---|
| Respondents | 938 |
| Items | 3 |
| Response categories | 3 |
| Responses per respondent | 3 |
| Responses per item | 938 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific, Internet-based |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | De Jong Gierveld Loneliness Scale - social subscale |
cov_agecov_countrycov_genderiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("tuason_2021_loneliness_social")
# Python
pip install irw
import irw
df = irw.fetch("tuason_2021_loneliness_social")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |