1,740 responses from 145 respondents to 12 items.
One of 2 tables from the same source; this one measures Child and Youth Resilience Measure, 12-item (CYRM-12). The others are listed under Related tables.
| Description | Child and Youth Resilience Measure, 12-item version (CYRM-12), Italian, recalled for the period of strictest pandemic restrictions, 1 (per nulla) to 5 (moltissimo); 145 Italian students aged 18+; cov_gender, cov_age, cov_school. |
|---|---|
| Reference | Buzzi, M. C. (2025). Student questionnaire (technology and Covid-19) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15305238 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/15305238 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 1,740 |
|---|---|
| Respondents | 145 |
| Items | 12 |
| Response categories | 5 |
| Responses per respondent | 12 |
| Responses per item | 145 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ita |
| construct name | Child and Youth Resilience Measure, 12-item (CYRM-12) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, buzzi_2025_students_covid.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 | ||
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). | id. ID risposta |
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 | G01Q02 |
cov_gender | Covariate | G01Q01 |
cov_school | Covariate | G01Q03 |
What item codes and covariate values stand for is in the source’s codebook, results-survey220905_grezzi per correlazione.xlsx.
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("buzzi_2025_cyrm12")
# Python
pip install irw
import irw
df = irw.fetch("buzzi_2025_cyrm12")
@misc{https://doi.org/10.5281/zenodo.15305238,
doi = {10.5281/ZENODO.15305238},
url = {https://zenodo.org/doi/10.5281/zenodo.15305238},
author = {Buzzi, Maria Claudia},
title = {Student questionnaire (technology and Covid-19)},
publisher = {Zenodo},
year = {2025},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |