15,000 responses from 2,500 respondents to 6 items.
One of 13 tables from the same source; this one is the k6 table. The others are listed under Related tables.
| Description | Kessler Psychological Distress Scale (K6), 6 items on the past 30 days, stored 1 (always) to 5 (never): reversed against standard K6 scoring, so higher resp means lower distress. Italian adults aged 18-70, online quota sample (Italian arm of the WHO/Europe COVID-19 behavioural insights survey), May 2021 (fourth wave only). N=2,500. |
|---|---|
| Reference | de Girolamo G, Ferrari C, Candini V, Buizza C, Calamandrei G, Caserotti M, Gavaruzzi T, Girardi P, Habersaat KB, Lotto L, Scherzer M, Starace F, Tasso A, Zamparini M, Zarbo C (2022). Psychological well-being during the COVID-19 pandemic in Italy assessed in a four-waves survey. Scientific Reports, 12, 17945. https://doi.org/10.1038/s41598-022-22994-4 |
| DOI | 10.1038/s41598-022-22994-4 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.5281/zenodo.5040719 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 15,000 |
|---|---|
| Respondents | 2,500 |
| Items | 6 |
| Response categories | 5 |
| Responses per respondent | 6 |
| Responses per item | 2,500 |
| Density | 1 |
| Longitudinal | TRUE |
| sample | Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ita |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, degirolamo_2022_covid_wellbeing.py. 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 | ||
date | IRW standard Calendar time in seconds — either seconds elapsed since data collection start (relative) or Unix time (absolute). | made in the build script |
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). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | pag2_2 |
cov_chronic_illness | Covariate | pag2_7 |
cov_education | Covariate | pag2_4 |
cov_employed | Covariate | pag2_5 |
cov_health_worker | Covariate | pag2_6 |
cov_region | Covariate | pag2_9 |
cov_sex | Covariate | pag2_3 |
cov_survey_wave | Covariate | made in the build script |
cov_urban | Covariate | pag2_8 |
cov_weight | Covariate | peso |
What item codes and covariate values stand for is in one of the 5 codebook files in the source deposit.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("degirolamo_2022_k6")
# Python
pip install irw
import irw
df = irw.fetch("degirolamo_2022_k6")
@article{deGirolamo2022,
author = {de Girolamo, Giovanni and Ferrari, Chiara and Candini, Valeria and Buizza, Cristina and Calamandrei, Giovanni and Caserotti, Marco and Gavaruzzi, Tania and Girardi, Paolo and Habersaat, Katrin B. and Lotto, Lucia and Scherzer, Markus and Starace, Ferruccio and Tasso, Alessio and Zamparini, Marisa and Zarbo, Cristina},
year = {2022},
title = {Psychological well-being during the {COVID-19} pandemic in {Italy} assessed in a four-waves survey},
journal = {Scientific Reports},
volume = {12},
pages = {17945},
doi = {10.1038/s41598-022-22994-4},
url = {https://doi.org/10.5281/zenodo.5040719}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.11 |
| Redivis dataset DOI | 10.57761/qahq-j855 |
| Manifest pin for this IRW version | v5.11 |
| Metadata source | irw_meta v44.0 |