aestheticfluency_cotter2023

89,265 responses from 2,480 respondents to 36 items.

About this table

DescriptionAesthetic fluency scale
ReferenceCotter, K. N., Rodriguez-Boerwinkle, R. M., Christensen, A. P., Fekete, A., Smith, J. K., Smith, L. F., ... & Silvia, P. J. (2023). Updating the Aesthetic Fluency Scale: Revised long and short forms for research in the psychology of the arts. Plos one, 18(2), e0281547.
DOI10.1371/journal.pone.0281547
LicenceGPL-3.0
Source datahttps://osf.io/d9ujk/

Size and shape

Responses89,265
Respondents2,480
Items36
Response categories3
Responses per respondent35.994
Responses per item2479.583
Density1.000
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleGeneral/non-specific
construct typeCognitive/educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameAesthetic Fluency Scale

Item text

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

InstrumentAesthetic fluency scale
Mean words per item1
Mean characters per item7.528
Mean characters per response42.667
Flesch-Kincaid grade level56.030

Codebook

This codebook is reconstructed by the IRW from the IRW data standard. 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).not traced
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
Other columns
groupNot documented Not documented by the IRW; see the source’s codebook.not traced

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("aestheticfluency_cotter2023")
# Python
pip install irw

import irw
df = irw.fetch("aestheticfluency_cotter2023")

How to cite

@article{Cotter_2023, title={Updating the Aesthetic Fluency Scale: Revised long and short forms for research in the psychology of the arts}, volume={18}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0281547}, DOI={10.1371/journal.pone.0281547}, number={2}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Cotter, Katherine N. and Rodriguez-Boerwinkle, Rebekah M. and Christensen, Alexander P. and Fekete, Anna and Smith, Jeffrey K. and Smith, Lisa F. and Tinio, Pablo P. L. and Silvia, Paul J.}, editor={Sudzina, Frantisek}, year={2023}, month=feb, pages={e0281547} }

Version and provenance

IRW versionv569
Redivis datasetitem_response_warehouse v71.0
Redivis dataset DOI10.57761/f5n4-k797
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v43.0