degirolamo_2022_trust_sources

110,143 responses from 10,013 respondents to 11 items.

One of 13 tables from the same source; this one is the trust_sources table. The others are listed under Related tables.

About this table

DescriptionTrust in 11 sources of COVID-19 information (TV, newspapers, health workers, social media, radio, Ministry of Health, national health institute, celebrities, WHO, helplines, national website), rated 1 (no trust at all) to 7 (very high trust). Italian adults aged 18-70, online quota samples (Italian arm of the WHO/Europe COVID-19 behavioural insights survey), four independent cross-sections in January, February, March and May 2021. N=10,013.
Referencede 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
DOI10.1038/s41598-022-22994-4
LicenceCC BY 4.0
Source datahttps://doi.org/10.5281/zenodo.5040719

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses110,143
Respondents10,013
Items11
Response categories7
Responses per respondent11
Responses per item10,013
Density1
LongitudinalTRUE

Classification

sampleInternet-based
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ita

Codebook

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.

ColumnWhat it isSource column
IRW standard columns
dateIRW standard Calendar time in seconds — either seconds elapsed since data collection start (relative) or Unix time (absolute).made in the build script
idIRW 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
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate pag2_2
cov_chronic_illnessCovariate pag2_7
cov_educationCovariate pag2_4
cov_employedCovariate pag2_5
cov_health_workerCovariate pag2_6
cov_regionCovariate pag2_9
cov_sexCovariate pag2_3
cov_survey_waveCovariate made in the build script
cov_urbanCovariate pag2_8
cov_weightCovariate peso

What item codes and covariate values stand for is in one of the 5 codebook files in the source deposit.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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_trust_sources")
# Python
pip install irw

import irw
df = irw.fetch("degirolamo_2022_trust_sources")

How to cite

@article{deGirolamo2022,
  author = {de Girolamo, Giovanni and Ferrari, Cristina and Candini, Valentina and Buizza, Chiara and Calamandrei, Gemma and Caserotti, Matteo and Gavaruzzi, Tatiana and Girardi, Paolo and Habersaat, Katrin B. and Lotto, Lucia and Scherzer, Markus and Starace, Francesca and Tasso, Andrea and Zamparini, Marco and Zarbo, Clarissa},
  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}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_6 v5.11
Redivis dataset DOI10.57761/qahq-j855
Manifest pin for this IRW versionv5.11
Metadata sourceirw_meta v44.0