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17 - Latent State–Trait Analyses for Process Models of Implicit Measures

from Section IV - Improving Measurement and Theorizing About Implicit Bias

Published online by Cambridge University Press:  21 December 2024

By
Karl Christoph Klauer  and
Manuel Becker
Edited by
Jon A. Krosnick ,
Tobias H. Stark  and
Amanda L. Scott
Jon A. Krosnick
Affiliation:
Stanford University, California
Tobias H. Stark
Affiliation:
Utrecht University, The Netherlands
Amanda L. Scott
Affiliation:
The Strategy Team, Columbus, Ohio
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Summary

A recent debate on implicit measures of racial attitudes has focused on the relative roles of the person, the situation, and their interaction in determining the measurement outcomes. The chapter describes process models for assessing the roles of the situation and the person-situation interaction on the one hand and stable person-related components on the other hand in implicit measures. Latent state-trait models allow one to assess to what extent the measure is a reliable measure of the person and/or the situation and the person-situation interaction (Steyer, Geiser, & Fiege, 2012). Moreover, trait factor scores as well as situation-specific residual factor scores can be computed and related to third variables, thereby allowing one to assess to what extent the implicit measure is a valid measure of the person and/or the situation and the person-situation interaction. These methods are particularly helpful when combined with a process decomposition of implicit-measure data such as a diffusion-model analysis of the IAT (Klauer, Voss, Schmitz, & Teige-Mocigemba, 2007).

Keywords

Implicit measureslatent state-trait analysisdiffusion modelreliabilityvalidityImplicit Association Test
Type
Chapter
Information
The Cambridge Handbook of Implicit Bias and Racism , pp. 472 - 490
Publisher: Cambridge University Press
Print publication year: 2025

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