threat_isler_2024_exp4_cog_crt

8,067 responses from 2,689 respondents to 3 items.

About this table

DescriptionA validation study replicating previous findings and testing both COVID-19-specific and general versions of health and resource scarcity threat manipulations (N=2689). Items related to CRT.
ReferenceIsler, O., Yilmaz, O., Maule, A. J., & Gächter, S. (2024). How to activate threat perceptions in behavior research: A simple technique for inducing health and resource scarcity threats. Behavior Research Methods, 56(8), 8379-8395.
DOI10.3758/s13428-024-02481-6
LicenceCC BY 4.0
Source datahttps://osf.io/grafm/

Size and shape

Responses8,067
Respondents2,689
Items3
Response categories4
Responses per respondent3
Responses per item2,689
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleInternet-based
construct typeCognitive/educational
measurement toolTest
item formatLikert Scale/selected response
primary language(s)eng
construct nameCognitive Refection Test (CRT)

Item text

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

InstrumentA validation study replicating previous findings and testing both COVID-19-specific and general versions of health and resource scarcity threat manipulations (N=2689). Items related to CRT.
Mean words per item23
Mean characters per item119
Mean characters per response7.250
Flesch-Kincaid grade level3.708

Columns

iditemresptreat

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("threat_isler_2024_exp4_cog_crt")
# Python
pip install irw

import irw
df = irw.fetch("threat_isler_2024_exp4_cog_crt")

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