838 responses from 210 respondents to 4 items.
| Description | Discrete Emotions |
|---|---|
| Reference | West, S. J., Lasko, E. N., Hall, C. J., Khan, N. G., & Chester, D. S. (2022). Some revenge now or more revenge later? Applying an intertemporal framework to retaliatory aggression. Motivation Science, 8(1), 33–55. |
| DOI | 10.1037/mot0000248 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/46pg7/overview |
| Responses | 838 |
|---|---|
| Respondents | 210 |
| Items | 4 |
| Response categories | 7 |
| Responses per respondent | 3.990 |
| Responses per item | 209.500 |
| Density | 0.998 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, General/non-specific |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Discrete Emotions |
cov_agecov_conditioncov_genderiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("west_2021_retaliatory_aggression_study4_deq")
# Python
pip install irw
import irw
df = irw.fetch("west_2021_retaliatory_aggression_study4_deq")
| 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 |