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Replication Data: Officer Diversity May Reduce Black Americans’ Fear of the Police

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data: Officer Diversity May Reduce Black Americans’ Fear of the Police
 
Identifier https://doi.org/10.7910/DVN/ASL3JD
 
Creator Pickett, Justin
Amanda Graham
Justin Nix
Francis T. Cullen
 
Publisher Harvard Dataverse
 
Description This dataset includes responses to two survey experiments testing the effects of officer diversity, which were conducted with a national sample (N = 1,100). The survey was fielded by YouGov in the spring of 2022 (between April 21 and May 2). For our experiments, YouGov constructed two synthetic sampling frames (SSF) via stratified sampling from the 2019 American Community Survey, which were used to select two matched (on gender, age, and education) samples of opt-in panelists: a general population sample (N = 650) and a large oversample of Black Americans (N = 450). (The general population sample was also matched on race.) Using propensity scoring based on region and the matching variables, both samples were then weighted to their respective SSFs, after which the weights were post-stratified on 2016 and 2020 Presidential vote choice. The purpose of the oversample was to yield (after combining Black respondents in the oversample with those in the general population sample) similarly sized analytic samples of Black and non-Black Americans. Per this sampling design, we estimated the models for the experiments separately for Black and non-Black respondents. For the main analysis, we applied the provided sampling weights. (NOTE: The original files were uploaded in Stata-12 version.)
 
Subject Social Sciences
Policing
Fear
Representative bureaucracy
Diversification
Body-worn cameras
 
Date 2024-01-29
 
Contributor Pickett, Justin