Meta-Analytic Use of Balanced Identity Theory to Validate the Implicit Association Test
Meta-Analytic Use of Balanced Identity Theory to Validate the Implicit Association Test
复制标题
DOI：
10.1177/0146167220916631
复制
发表时间：
2020-06-04
影响因子：
4
通讯作者：
Greenwald, Anthony G.
中科院分区：
文献类型：
--
作者：
Cvencek, Dario;Meltzoff, Andrew N.;Greenwald, Anthony G.
该元分析评估了平衡同一性理论(BIT)的理论预测，并评估了用于检验这些预测的内隐联想测验(IAT)零点和自我报告测量的有效性。21名研究人员贡献了36个实验(总N=12,773)的个体受试者数据，这些实验同时使用了社会认知结构的外显和内隐测量。元分析证实了BIT平衡一致性原理的预测，同时验证了对IAT零点的解释，认为这表明两个态度对象之间没有偏好。样本量提供的统计能力使平衡一致性预测与自我报告测量得到了第一次确认。除了这些经验结果，Meta分析还引入了对平衡一致性原则的研究内统计检验，发现它比以前最好的方法有更高的效率。元分析的全部数据集已经公开存档，以便进一步研究态度、刻板印象和身份之间的相互关系。
This meta-analysis evaluated theoretical predictions from balanced identity theory (BIT) and evaluated the validity of zero points of Implicit Association Test (IAT) and self-report measures used to test these predictions. Twenty-one researchers contributed individual subject data from 36 experiments (total N = 12,773) that used both explicit and implicit measures of the social-cognitive constructs. The meta-analysis confirmed predictions of BIT's balance-congruity principle and simultaneously validated interpretation of the IAT's zero point as indicating absence of preference between two attitude objects. Statistical power afforded by the sample size enabled the first confirmations of balance-congruity predictions with self-report measures. Beyond these empirical results, the meta-analysis introduced a within-study statistical test of the balance-congruity principle, finding that it had greater efficiency than the previous best method. The meta-analysis's full data set has been publicly archived to enable further studies of interrelations among attitudes, stereotypes, and identities.