24,019 responses from 72 respondents to 11 items.
| Description | Video ratings of emotional experience due to a video |
|---|---|
| Reference | Küster, D., Baker, M., & Krumhuber, E. G. (2022). PDSTD-The Portsmouth Dynamic Spontaneous Tears Database. Behavior Research Methods, 54(6), 2678-2692. |
| DOI | 10.3758/s13428-021-01752-w |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/uyjeg/ |
| Responses | 24,019 |
|---|---|
| Respondents | 72 |
| Items | 11 |
| Response categories | 101 |
| Responses per respondent | 333.597 |
| Responses per item | 2183.545 |
| Density | 30.327 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, Internet-based |
| construct type | Affective/mental health |
| measurement tool | Observational rating |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | The Portsmouth Dynamic Spontaneous Tears Database |
iditemphaseraterrespstimulus
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("tears")
# Python
pip install irw
import irw
df = irw.fetch("tears")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |