musifeast17_vanderwalle_2025

297,925 responses from 701 respondents to 25 items.

About this table

DescriptionA large-scale investigation of musical emotion, familiarity, and aesthetic perception across 17 musical genres
ReferenceVan Der Walle, H. A., Wu, W., Margulis, E. H., & Jakubowski, K. (2025). MUSIFEAST-17: MUsic Stimuli for imagination, familiarity, emotion, and Aesthetic STudies across 17 genres. Behavior Research Methods, 57(7). https://doi.org/10.3758/s13428-025-02724-0
DOI10.3758/s13428-025-02724-0
LicenceCC BY 4.0
Source datahttps://osf.io/5ebz2/files/osfstorage

Size and shape

Responses297,925
Respondents701
Items25
Response categories6
Responses per respondent425
Responses per item11,917
Density17
LongitudinalTRUE

Classification

age rangeAdult (18+)
sampleInternet-based
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameMUSIFEAST-17

Columns

cov_agecov_educov_gendercov_groupcov_headphonecov_hicov_musicianshipdateiditemresp

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("musifeast17_vanderwalle_2025")
# Python
pip install irw

import irw
df = irw.fetch("musifeast17_vanderwalle_2025")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_2 v19.0
Redivis dataset DOI10.57761/qtx5-4m80
Manifest pin for this IRW versionv19.0
Metadata sourceirw_meta v23.0