scholarly journals Meta‐MultiSKAT: Multiple phenotype meta‐analysis for region‐based association test

2019 ◽  
Vol 43 (7) ◽  
pp. 800-814
Author(s):  
Diptavo Dutta ◽  
Sarah A. Gagliano Taliun ◽  
Joshua S. Weinstock ◽  
Matthew Zawistowski ◽  
Carlo Sidore ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Association Test ◽  
Multiple Phenotype

Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity.

2009 ◽  
Vol 97 (1) ◽  
pp. 17-41 ◽  
Author(s):  
Anthony G. Greenwald ◽  
T. Andrew Poehlman ◽  
Eric Luis Uhlmann ◽  
Mahzarin R. Banaji
Keyword(s):  
Predictive Validity ◽  
Implicit Association Test ◽  
Meta Analysis ◽  
Association Test ◽  
Implicit Association

scholarly journals Cognitive Control and the Implicit Association Test: A Replication of Siegel, Dougherty, and Huber (2012)

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
David J. Johnson ◽  
David Ampofo ◽  
Serra A Erbas ◽  
Alison Robey ◽  
Harry Calvert ◽  
...  
Keyword(s):  
Cognitive Control ◽  
Implicit Association Test ◽  
Null Hypothesis ◽  
Experimental Social Psychology ◽  
Meta Analysis ◽  
Original Study ◽  
Association Test ◽  
Implicit Association ◽  
False Feedback ◽  
Control Versus

The implicit association test (IAT) is widely used to measure evaluative associations towards groups or the self but is influenced by other traits. Siegel, Dougherty, and Huber (2012, Journal of Experimental Social Psychology) found that manipulating cognitive control via false feedback (Study 3) changed the degree to which the IAT was related to cognitive control versus evaluative associations. We conducted two replications of this study and a mini meta-analysis. Null-hypothesis tests, meta-analysis, and a small telescope approach demonstrated weak to no support for the original hypotheses. We conclude that the original findings are unreliable and that both the original study and our replications do not provide evidence that manipulating cognitive control affects IAT scores.

scholarly journals Relationship between the Implicit Association Test and intergroup behavior: A meta-analysis.

2019 ◽  
Vol 74 (5) ◽  
pp. 569-586 ◽  
Author(s):  
Benedek Kurdi ◽  
Allison E. Seitchik ◽  
Jordan R. Axt ◽  
Timothy J. Carroll ◽  
Arpi Karapetyan ◽  
...  
Keyword(s):  
Implicit Association Test ◽  
Meta Analysis ◽  
Association Test ◽  
Implicit Association ◽  
Intergroup Behavior

scholarly journals Meta-Analytic Use of Balanced Identity Theory to Validate the Implicit Association Test

2020 ◽  
pp. 014616722091663 ◽  
Author(s):  
Dario Cvencek ◽  
Andrew N. Meltzoff ◽  
Craig D. Maddox ◽  
Brian A. Nosek ◽  
Laurie A. Rudman ◽  
...  
Keyword(s):  
Implicit Association Test ◽  
Statistical Power ◽  
Identity Theory ◽  
Meta Analysis ◽  
Association Test ◽  
Self Report ◽  
Implicit Association ◽  
Individual Subject ◽  
Data Set ◽  
Total N

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.

scholarly journals USAT: A Unified Score-Based Association Test for Multiple Phenotype-Genotype Analysis

2015 ◽  
Vol 40 (1) ◽  
pp. 20-34 ◽  
Author(s):  
Debashree Ray ◽  
James S. Pankow ◽  
Saonli Basu
Keyword(s):  
Association Test ◽  
Genotype Analysis ◽  
Multiple Phenotype
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