sirota_2018_crt

3,164 responses from 452 respondents to 7 items.

A version of this table that keeps the option each respondent chose is sirota_2018_crt_nom.

One of 2 tables from the same source; this one is the crt table. The others are listed under Related tables.

About this table

DescriptionCognitive Reflection Test, 7 items, 452 respondents randomised to open, 2-option or 4-option response format (cov_format); resp = correct, resp_raw = 1 correct / 2 intuitive incorrect / 3 other incorrect.
ReferenceSirota, M., & Juanchich, M. (2018). Effect of response format on cognitive reflection: Validating a two- and four-option multiple choice question version of the Cognitive Reflection Test. Behavior Research Methods, 50, 2511-2522.
DOI10.3758/s13428-018-1029-4
LicenceCC BY 4.0
Source datahttps://osf.io/mzhyc/

Size and shape

Responses3,164
Respondents452
Items7
Response categories2
Responses per respondent7
Responses per item452
Density1
LongitudinalFALSE

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, sirota_2018_crt.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.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).ID
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
resp_rawIRW standard The response as originally recorded, where resp holds a scored or recoded version of it — the letter a candidate marked (A–E), an option label, a categorical string.made in the build script
Respondent covariates
cov_ageCovariate Age
cov_eduCovariate Edu
cov_formatCovariate XP
cov_genderCovariate Gender

What item codes and covariate values stand for is in the source’s codebook, Codebook_MCQCRTdata.txt.

Get the data

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

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("sirota_2018_crt")
# Python
pip install irw

import irw
df = irw.fetch("sirota_2018_crt")

How to cite

@article{Sirota_2018, title={Effect of response format on cognitive reflection: Validating a two- and four-option multiple choice question version of the Cognitive Reflection Test}, volume={50}, ISSN={1554-3528}, url={http://dx.doi.org/10.3758/s13428-018-1029-4}, DOI={10.3758/s13428-018-1029-4}, number={6}, journal={Behavior Research Methods}, publisher={Springer Science and Business Media LLC}, author={Sirota, Miroslav and Juanchich, Marie}, year={2018}, month=Mar, pages={2511–2522} }

Version and provenance

IRW versionv581
Redivis datasetitem_response_warehouse_6 v5.11
Redivis dataset DOI10.57761/qahq-j855
Manifest pin for this IRW versionv5.11
Metadata sourceirw_meta v44.0