west_2021_retaliatory_aggression_ars

22,993 responses from 268 respondents to 19 items.

About this table

DescriptionAnger Rumination
ReferenceWest, 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.
DOI10.1037/mot0000248
LicenceCC BY 4.0
Source datahttps://osf.io/46pg7/overview

Size and shape

Responses22,993
Respondents268
Items19
Response categories4
Responses per respondent85.795
Responses per item1210.158
Density4.516
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational, General/non-specific
construct typeBehavioral
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameAnger Rumination

Columns

cov_agecov_coldpressorcov_conditioncov_gendercov_studyiditemresp

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("west_2021_retaliatory_aggression_ars")
# Python
pip install irw

import irw
df = irw.fetch("west_2021_retaliatory_aggression_ars")

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