43,834 responses from 1,098 respondents to 40 items.
One of 4 tables from the same source; this one measures Defense Style Questionnaire-40 (DSQ-40), Italian version. The others are listed under Related tables.
| Description | Italian Defense Style Questionnaire-40 (DSQ-40), 40 items, 1-9, 1,098 Italian adults during the COVID-19 emergency (2020); cov_age, cov_gender. |
|---|---|
| Reference | Gori, A., Topino, E., & Di Fabio, A. (2020). The protective role of life satisfaction, coping strategies and defense mechanisms on perceived stress due to COVID-19 emergency: A chained mediation model. PLOS ONE, 15(11), e0242402. |
| DOI | 10.1371/journal.pone.0242402 |
| Licence | CC BY 4.0 |
| Source data | https://figshare.com/articles/dataset/13133180 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 43,834 |
|---|---|
| Respondents | 1,098 |
| Items | 40 |
| Response categories | 9 |
| Responses per respondent | 39.922 |
| Responses per item | 1095.850 |
| Density | 0.998 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific, Internet-based |
| construct type | Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ita |
| construct name | Defense Style Questionnaire-40 (DSQ-40), Italian version |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, gori_2020_covid_stress.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). | 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 | Age |
cov_gender | Covariate | Gender |
What item codes and covariate values stand for is in the codebook released with the source data.
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("gori_2020_dsq40")
# Python
pip install irw
import irw
df = irw.fetch("gori_2020_dsq40")
@article{Gori_2020, title={The protective role of life satisfaction, coping strategies and defense mechanisms on perceived stress due to COVID-19 emergency: A chained mediation model}, volume={15}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0242402}, DOI={10.1371/journal.pone.0242402}, number={11}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Gori, Alessio and Topino, Eleonora and Di Fabio, Annamaria}, editor={Manuti, Amelia}, year={2020}, month=Nov, pages={e0242402} }
| 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 |