440 responses from 11 respondents to 5 items.
| Description | preference tests in humans and animals |
|---|---|
| Reference | Pfefferle, 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. |
| DOI | 10.3758/s13428-025-02668-5 |
| Licence | GPL-3.0 |
| Source data | https://github.com/mytalbot/simsalRbim_data |
| Responses | 440 |
|---|---|
| Respondents | 11 |
| Items | 5 |
| Response categories | 78 |
| Responses per respondent | 40 |
| Responses per item | 88 |
| Density | 8 |
| Longitudinal | FALSE |
| age range | Non-human |
|---|---|
| sample | Non-human |
| construct type | Behavioral |
| measurement tool | Observational rating |
| item format | Slider/continuous |
| primary language(s) | eng |
| construct name | preference test |
iditemresptrial
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("simsalRbim_Mice_LargeValence")
# Python
pip install irw
import irw
df = irw.fetch("simsalRbim_Mice_LargeValence")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |