2,286,137 responses from 24,037 respondents to 8 items.
| Description | Ratings of valence, arousal, happiness, anger, fear, sadness, disgust, and surprise for 24,000 Dutch words |
|---|---|
| Reference | Speed, L. J., & Brysbaert, M. (2024). Ratings of valence, arousal, happiness, anger, fear, sadness, disgust, and surprise for 24,000 Dutch words. Behavior Research Methods, 56(5), 5023-5039. |
| DOI | 10.3758/s13428-023-02239-6 |
| Licence | CC BY-NC-SA 4.0 |
| Source data | https://osf.io/9htuv/files |
| Responses | 2,286,137 |
|---|---|
| Respondents | 24,037 |
| Items | 8 |
| Response categories | 9 |
| Responses per respondent | 95.109 |
| Responses per item | 285767.125 |
| Density | 11.889 |
| Longitudinal | FALSE |
| age range | Non-human |
|---|---|
| sample | Non-human |
| construct type | Affective/mental health, Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | dut |
| construct name | valence, arousal, and emotion |
iditemraterresp
Licence: CC BY-NC-SA 4.0 — non-commercial use only; adaptations must be shared under the same licence.
This table is larger than Redivis serves without a login, so download it with one of the packages below or while signed in to Redivis.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("rating_speed_2025")
# Python
pip install irw
import irw
df = irw.fetch("rating_speed_2025")
| 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 |