Assessment of Individual Differences in Implicit Cognition A Review of IAT Measures

被引：80

作者：

Schnabel, Konrad ^{[1
]}

Asendorpf, Jens B. ^{[1
]}

Greenwald, Anthony G. ^{[2
]}

机构：

[1] Humboldt Univ, Inst Psychol, D-10099 Berlin, Germany

[2] Univ Washington, Seattle, WA 98195 USA

来源：

EUROPEAN JOURNAL OF PSYCHOLOGICAL ASSESSMENT | 2008年 / 24卷 / 04期

关键词：

Implicit Association Test; implicit measures; explicit measures; social cognition; automaticity;

D O I：

10.1027/1015-5759.24.4.210

中图分类号：

B849 [应用心理学];

学科分类号：

040203 ;

摘要：

This review discusses basic features of Implicit Association Tests (IATs) that are relevant in order to estimate their suitability of IATs for the valid assessment of individual differences. We start with a description of the essential characteristics of the procedures of IATs and also refer to theoretical accounts for IAT effects. Then, we provide an overview of research on the psychometric properties of IATs including their reliability and incremental validity for the prediction of behavior over and above explicit measures. Finally, we describe some alternatives to IAT measures and offer an outlook for future research.

引用

页码：210 / 217

页数：8

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