Implicit Measures: A Normative Analysis and Review

被引：597

作者：

De Houwer, Jan ^{[1
]}

Teige-Mocigemba, Sarah ^{[2
]}

Spruyt, Adriaan ^{[1
]}

Moors, Agnes ^{[1
]}

机构：

[1] Univ Ghent, Dept Psychol, B-9000 Ghent, Belgium

[2] Univ Freiburg, Dept Psychol, Freiburg, Germany

来源：

PSYCHOLOGICAL BULLETIN | 2009年 / 135卷 / 03期

关键词：

implicit measures; automaticity; IAT; affective priming; SALIENCE ASYMMETRY INTERPRETATION; AUTOMATIC ATTITUDE ACTIVATION; PERSONALITY SELF-CONCEPT; METHOD-SPECIFIC VARIANCE; ASSOCIATION TEST; PREDICTIVE-VALIDITY; SOCIAL COGNITION; EXTRAPERSONAL ASSOCIATIONS; SEMANTIC CLASSIFICATIONS; INDIVIDUAL-DIFFERENCES;

D O I：

10.1037/a0014211

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

Implicit measures can be defined as outcomes of measurement procedures that are caused in an automatic manner by psychological attributes. To establish that a measurement outcome is an implicit measure, one should examine (a) whether the outcome is causally produced by the psychological attribute it was designed to measure, (b) the nature of the processes by which the attribute causes the outcome, and (c) whether these processes operate automatically. This normative analysis provides a heuristic framework for organizing past and future research on implicit measures. The authors illustrate the heuristic function of their framework by using it to review past research on the 2 implicit measures that are currently most popular: effects in implicit association tests and affective priming tasks.

引用

页码：347 / 368

页数：22

共 165 条

[1] Subliminal words activate semantic categories (not automated motor responses) [J].