csft_ye_2025

3,520 responses from 176 respondents to 20 items.

About this table

DescriptionEmbedded Figure Test
ReferenceYe, M., & Li, J. (2025). Computerized continuous scoring of the cognitive style figure test: Embedded figure test as an example. Behavior Research Methods, 57(3), 84.
DOI10.3758/s13428-024-02559-1
LicenceCC BY 4.0
Source datahttps://link.springer.com/article/10.3758/s13428-024-02559-1#Sec23

Size and shape

Responses3,520
Respondents176
Items20
Response categories2
Responses per respondent20
Responses per item176
Density1
LongitudinalFALSE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Adolescent (12-18y)
sampleEducational
construct typeCognitive/educational
measurement toolObservational rating
item formatLikert Scale/selected response
primary language(s)chi
construct nameEmbedded Figure Test

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, csft_ye_2025.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.

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
Other columns
itemcov_weightFrom source Covariates invariant to measurement probes (item-level attributes).resp

What item codes and covariate values stand for is in the codebook released with the source data.

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("csft_ye_2025")
# Python
pip install irw

import irw
df = irw.fetch("csft_ye_2025")

How to cite

@article{Ye_2025, title={Computerized continuous scoring of the cognitive style figure test: Embedded figure test as an example}, volume={57}, ISSN={1554-3528}, url={http://dx.doi.org/10.3758/s13428-024-02559-1}, DOI={10.3758/s13428-024-02559-1}, number={3}, journal={Behavior Research Methods}, publisher={Springer Science and Business Media LLC}, author={Ye, Meng and Li, Jingyi}, year={2025}, month=feb }

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v43.0