fractals_rating

71,680 responses from 400 respondents to 7 items.

About this table

DescriptionResponses related to abstract fractals
ReferenceOvalle-Fresa, R., Di Pietro, S. V., Reber, T. P., Balbi, E., & Rothen, N. (2022). Standardized database of 400 complex abstract fractals. Behavior Research Methods, 54(5), 2302-2317.
DOI10.3758/s13428-021-01726-y
LicenceCC BY 4.0
Source datahttps://osf.io/ckfmv/

Size and shape

Responses71,680
Respondents400
Items7
Response categories7
Responses per respondent179.200
Responses per item10,240
Density25.600
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleGeneral/non-specific
construct typeDevelopmental
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameRatings of Abstract Fractals

Columns

iditemraterresp

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("fractals_rating")
# Python
pip install irw

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

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