130,849 responses from 13,137 respondents to 13 items.
One of 11 tables from the same source; this one measures German Version of the Emotion Regulation Questionnaire-Short Form - Distrust Subscale. The others are listed under Related tables.
| Description | COVIDiSTRESS Global Survey Round II - Anti-expert sentiment, COVID-19 misperceptions and conspiratorial thinking |
|---|---|
| Reference | Blackburn, A. M., Vestergren, S., et al. (2022). COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic. Scientific Data, 9, 331. |
| DOI | 10.1038/s41597-022-01383-6 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/36tsd/ |
| Responses | 130,849 |
|---|---|
| Respondents | 13,137 |
| Items | 13 |
| Response categories | 7 |
| Responses per respondent | 9.960 |
| Responses per item | 10065.308 |
| Density | 0.766 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Clinical, Targeted/specific |
| construct type | Affective/mental health, Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ger |
| construct name | German Version of the Emotion Regulation Questionnaire-Short Form - Distrust Subscale |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | COVIDiSTRESS Global Survey Round II: Anti-expert sentiment |
|---|---|
| Mean words per item | 11.846 |
| Mean characters per item | 64.308 |
| Mean characters per response | 11.714 |
| Flesch-Kincaid grade level | 5.877 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, ECPS_Sahm_2024.r. 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). | ResponseId |
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 | made in the build script |
cov_covid_self | Covariate | made in the build script |
cov_education | Covariate | made in the build script |
cov_gender | Covariate | made in the build script |
cov_live_alone | Covariate | made in the build script |
cov_occupation | Covariate | made in the build script |
cov_residing_country | Covariate | made in the build script |
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("ecps_sahm_2024_distrust")
# Python
pip install irw
import irw
df = irw.fetch("ecps_sahm_2024_distrust")
@article{https://doi.org/10.17605/osf.io/n26mb,
doi = {10.17605/OSF.IO/N26MB},
url = {https://osf.io/n26mb/},
author = {Burghart, Matthias and Sahm, Alexander Hans Josef and Mier, Daniela},
title = {Psychometric Properties of a German Version of the Emotion Regulation Questionnaire-Short Form (ERQ-S): Evidence from Community and Patient Samples},
publisher = {OSF},
year = {2024},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse v70.0 |
| Redivis dataset DOI | 10.57761/4qxs-pq87 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v43.0 |