ecps_sahm_2024_dtl

145,828 responses from 13,299 respondents to 11 items.

About this table

DescriptionCOVIDiSTRESS Global Survey Round II - Intolerance of uncertainty and resilience (Brief Resilience Scale)
ReferenceBlackburn, 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.
DOI10.1038/s41597-022-01383-6
LicenceCC BY 4.0
Source datahttps://osf.io/36tsd/

Size and shape

Responses145,828
Respondents13,299
Items11
Response categories7
Responses per respondent10.965
Responses per item13257.091
Density0.997
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleClinical, Targeted/specific
construct typeAffective/mental health, Cognitive/educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ger
construct nameGerman Version of the Emotion Regulation Questionnaire-Short Form - Deal with Things in Life Subscale

Item text

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

InstrumentCOVIDiSTRESS Global Survey Round II: Resilience
Mean words per item10.030
Mean characters per item51.746
Mean characters per response18.015
Flesch-Kincaid grade level4.385

Columns

cov_agecov_covid_selfcov_educationcov_gendercov_live_alonecov_occupationcov_residing_countryiditemresp

Get the data

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

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ecps_sahm_2024_dtl")
# Python
pip install irw

import irw
df = irw.fetch("ecps_sahm_2024_dtl")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0