clifford_2018_police_blame

17,255 responses from 2,465 respondents to 7 items.

About this table

DescriptionBlame attribution and trust toward police in police violence scenario (experimental survey); N=2759; includes blame, law knowledge, and trust items
ReferenceBoudreau, C.; MacKenzie, S.; Simmons, D. (2019). Police Violence and Public Perceptions: An Experimental Study of How Information and Endorsements Affect Support for Law Enforcement. The Journal of Politics 81(3): 1101-1110. DOI: 10.1086/703540
DOI10.1086/703540
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/V83FXD

Size and shape

Responses17,255
Respondents2,465
Items7
Response categories7
Responses per respondent7
Responses per item2,465
Density1
LongitudinalFALSE

Classification

measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng

Columns

cov_countycov_educcov_ideo_ratingcov_partyidcov_racecov_treat_conditioncov_work4lawiditemresp

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("clifford_2018_police_blame")
# Python
pip install irw

import irw
df = irw.fetch("clifford_2018_police_blame")

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