simsalRbim_Human_LargeValence_2018

672 responses from 16 respondents to 7 items.

About this table

Descriptionpreference tests in humans and animals
ReferencePfefferle, D., Talbot, S. R., Kahnau, P., Cassidy, L. C., Brockhausen, R. R., Jaap, A., ... & Lewejohann, L. (2025). Advancing preference testing in humans and animals. Behavior Research Methods, 57(7), 193.
DOI10.3758/s13428-025-02668-5
LicenceGPL-3.0
Source datahttps://github.com/mytalbot/simsalRbim_data

Size and shape

Responses672
Respondents16
Items7
Response categories2
Responses per respondent42
Responses per item96
Density6
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatConstructed Response
primary language(s)eng
construct namepreference test

Columns

iditemresptrial

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("simsalRbim_Human_LargeValence_2018")
# Python
pip install irw

import irw
df = irw.fetch("simsalRbim_Human_LargeValence_2018")

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