About this table

Description	Ten-Item Personality Inventory (TIPI), Italian, 10 items rated 1 (completely disagree) to 7 (completely agree); items 2, 4, 6, 8 and 10 are negatively keyed and unreversed. 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

Size and shape

Responses	25,000
Respondents	2,500
Items	10
Response categories	7
Responses per respondent	10
Responses per item	2,500
Density	1
Longitudinal	TRUE

Classification

sample	Internet-based
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	ita

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

Instrument	Ten-Item Personality Inventory, revised Italian version (I-TIPI-R; Chiorri et al., 2014/2015, after Gosling et al., 2003), as administered in wave 4 of the COSMO Italy COVID-19 survey
Mean words per item	3
Mean characters per item	25.400
Mean characters per response	21.286
Flesch-Kincaid grade level	14.929

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.

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.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant 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_tipi")

# Python
pip install irw

import irw
df = irw.fetch("degirolamo_2022_tipi")

How to cite

@article{deGirolamo2022,
  author = {de Girolamo, Giovanni and Ferrari, Chiara and Candini, Valentina and Buizza, Cristina and Calamandrei, Gemma and Caserotti, Matteo and Gavaruzzi, Tatiana and Girardi, Paolo and Habersaat, Katrin B. and Lotto, Lucia and Scherzer, Michael and Starace, Francesco and Tasso, Andrea and Zamparini, Marco and Zarbo, Cristina},
  title = {Psychological well-being during the {COVID}-19 pandemic in {I}taly assessed in a four-waves survey},
  journal = {Scientific Reports},
  year = {2022},
  volume = {12},
  pages = {17945},
  doi = {10.1038/s41598-022-22994-4},
  url = {https://doi.org/10.5281/zenodo.5040719}
}

Version and provenance

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

degirolamo_2022_tipi