Ten Frequently Asked Questions About Implicit Measures and Their Frequently Supposed, But Not Entirely Correct Answers

By Bertram Gawronski. 2009

144 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Social Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/12107ec9cccfcfd132c74d80e59d8341e9507397

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Citations in the corpus

How to find what's in a name: Scrutinizing the optimality of five scoring algorithms for the name‐letter task (2009, background): “Name-letter task 89 consistency of these measures (Gawronski, 2009).”
Implicit Leadership and Followership Theories “in the wild”: Taking stock of information-processing approaches to leadership and followership in organizational settings (2013, background): “Indirect measures may complement direct measures of ILTs and IFTs because direct measures may be more susceptible to social desirability and self presentation issues (although implicit measures are not completely immune) (Gawronski, 2009).”
Implicit measures in social and personality psychology (2014, methodology): “At the same time, there are a munber of misconceptions about the type of information implicit measures can provide (Gawronski, 2009).”
Dose-Dependent Media Priming Effects of Stereotypic Newspaper Articles on Implicit and Explicit Stereotypes (2013, background): “The only two measures that have consistently shown acceptable reliabilities are the IAT and a second measure (Gawronski, 2009).”
The Associative–Propositional Evaluation Model: Theory, Evidence, and Open Questions (2011, methodology): “’s (2006) paradigm differs from the one employed by Peters and Gawronski (2011b), in that it involved two independent sources of valence information (i.”
The Dominance of Associative Theorizing in Implicit Attitude Research: Propositional and Behavioral Alternatives (2011, background): “More recently, however, both explicit and implicit evaluations have been found to be malleable to a variety of social and contextual influences (Barden, Maddux, Petty, & Brewer, 2004; Ferguson & Bargh, 2004; Rydell & gawronski, 2009; Wittenbrink, Judd, & Park, 2001).”
12. Formation, change, and contextualization of mental associations: determinants and principles of variations in implicit measures (2010, methodology): “ously or in isolation, leading to different outcomes in each of the possible combinations (Gawronski & Bodenhausen, 2006a). For instance, if associa~ tive learning creates a new association in memory and this association is regarded as valid, implicit and explicit measures should show corresponding ”