Patterns of Implicit and Explicit Attitudes: IV. Change and Stability From 2007 to 2020

被引:53
作者
Charlesworth, Tessa E. S. [1 ]
Banaji, Mahzarin R. [1 ]
机构
[1] Harvard Univ, Dept Psychol, Boston, MA 02115 USA
关键词
implicit attitude change; explicit attitude change; Implicit Association Test (IAT); long-term change; time-series analysis; autoregressive-integrated-moving-average (ARIMA) model; open data; open materials; preregistered; LONG-TERM CHANGE; BIAS;
D O I
10.1177/09567976221084257
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Using more than 7.1 million implicit and explicit attitude tests drawn from U.S. participants to the Project Implicit website, we examined long-term trends across 14 years (2007-2020). Despite tumultuous sociopolitical events, trends from 2017 to 2020 persisted largely as forecasted from past data (2007-2016). Since 2007, all explicit attitudes decreased in bias between 22% (age attitudes) and 98% (race attitudes). Implicit sexuality, race, and skin-tone attitudes also continued to decrease in bias, by 65%, 26%, and 25%, respectively. Implicit age, disability, and body-weight attitudes, however, continued to show little to no long-term change. Patterns of change and stability were generally consistent across demographic groups (e.g., men and women), indicating widespread, macrolevel change. Ultimately, the data magnify evidence that (some) implicit attitudes reveal persistent, long-term change toward neutrality. The data also newly reveal the potential for short-term influence from sociopolitical events that temporarily disrupt progress toward neutrality, although attitudes eventually return to long-term homeostasis in trends.
引用
收藏
页码:1347 / 1371
页数:25
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