TY - JOUR
T1 - An investigation of emotional and evaluative implicit associations with police using four versions of the Implicit Association Test
AU - Sargent, Rikki H.
AU - Newman, Leonard S.
N1 - Publisher Copyright:
© 2021 Taylor & Francis.
PY - 2023
Y1 - 2023
N2 - In two studies (total N = 829), we assessed civilian implicit associations with police using four modified Implicit Association Tests (IAT). Across studies and IATs, individuals harbored stronger negative implicit associations (associating police with fear/bad) than positive implicit associations (associating police with safety/good). The predictive validity of the implicit associations and magnitude of D scores varied across IAT. In Study 1, the IATs involving categorization of police-related (vs. everyday) symbols were most sensitive, but the versions involving categorization of police (vs. civilian) models provided more evidence for predictive validity. In Study 2, the IAT involving categorization of emotional words (safety/fear) was most sensitive, but the version involving categorization of evaluative words (good/bad) provided more evidence for predictive validity. In both studies, we also assessed individual differences (race, political affiliation) in implicit associations. The findings prompt the need to further examine the underlying cognitive components of civilian attitudes toward police and emphasize the importance of developing several IATs when assessing implicit attitudes.
AB - In two studies (total N = 829), we assessed civilian implicit associations with police using four modified Implicit Association Tests (IAT). Across studies and IATs, individuals harbored stronger negative implicit associations (associating police with fear/bad) than positive implicit associations (associating police with safety/good). The predictive validity of the implicit associations and magnitude of D scores varied across IAT. In Study 1, the IATs involving categorization of police-related (vs. everyday) symbols were most sensitive, but the versions involving categorization of police (vs. civilian) models provided more evidence for predictive validity. In Study 2, the IAT involving categorization of emotional words (safety/fear) was most sensitive, but the version involving categorization of evaluative words (good/bad) provided more evidence for predictive validity. In both studies, we also assessed individual differences (race, political affiliation) in implicit associations. The findings prompt the need to further examine the underlying cognitive components of civilian attitudes toward police and emphasize the importance of developing several IATs when assessing implicit attitudes.
KW - Implicit association
KW - applied psychology
KW - attitudes
KW - implicit association test
KW - police officers
KW - police-civilian relations
UR - http://www.scopus.com/inward/record.url?scp=85118267942&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85118267942&partnerID=8YFLogxK
U2 - 10.1080/00224545.2021.1983506
DO - 10.1080/00224545.2021.1983506
M3 - Article
C2 - 34698610
AN - SCOPUS:85118267942
SN - 0022-4545
VL - 163
SP - 439
EP - 458
JO - Journal of Social Psychology
JF - Journal of Social Psychology
IS - 4
ER -