4,040 responses from 674 respondents to 4 items.
| Description | Minimalist Well-Being Scale, Gratitude-for-Being facet, 1-7 Likert; N=674, 4 items, 2 waves, French COVID-19 lockdown study |
|---|---|
| Reference | Pellerin, N., & Raufaste, E. (2020). Psychological Resources Protect Well-Being During the COVID-19 Pandemic: A Longitudinal Study During the French Lockdown. Frontiers in Psychology, 11, 590276. |
| DOI | 10.3389/fpsyg.2020.590276 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/45aq3/ |
| Responses | 4,040 |
|---|---|
| Respondents | 674 |
| Items | 4 |
| Response categories | 7 |
| Responses per respondent | 5.994 |
| Responses per item | 1,010 |
| Density | 1.499 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | fre |
cov_agecov_countrycov_gendercov_incomeiditemrespwave
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("pellerin2020_mwbs_gratbeing")
# Python
pip install irw
import irw
df = irw.fetch("pellerin2020_mwbs_gratbeing")
| 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 |