Does design matter? On the predictive validity of a block vs. a single-block designed Implicit Association Test (IAT)

2011 ◽  
Author(s):  
Monika Fleischhauer ◽  
Soren Enge ◽  
Kathrin Rosenzweig ◽  
Alexander Strobel ◽  
Anja Strobel
Keyword(s):  
Predictive Validity ◽  
Implicit Association Test ◽  
Association Test ◽  
Implicit Association ◽  
Single Block

Single-Block, Single-Target, Implicit Association Test

2011 ◽  
Author(s):  
Axel Zinkernagel ◽  
Wilhelm Hofmann ◽  
Friederike X. R. Dislich ◽  
Tobias Gschwendner ◽  
Manfred Schmitt
Keyword(s):  
Implicit Association Test ◽  
Association Test ◽  
Implicit Association ◽  
Single Target ◽  
Single Block

Single Block Implicit Association Test

2008 ◽  
Author(s):  
Sarah Teige-Mocigemba ◽  
Karl Christoph Klauer ◽  
Klaus Rothermund
Keyword(s):  
Implicit Association Test ◽  
Association Test ◽  
Implicit Association ◽  
Single Block

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 Measure What You are Trying to Predict: Applying the Correspondence Principle to the Implicit Association Test

2019 ◽  
Author(s):  
Louis H. Irving ◽  
Colin Smith
Keyword(s):  
Predictive Validity ◽  
Implicit Association Test ◽  
Correspondence Principle ◽  
Association Test ◽  
Future Research ◽  
Implicit Association ◽  
Implicit Measures ◽  
Total N ◽  
Single Target ◽  
Explicit Measures

The Implicit Association Test (IAT) is nearly synonymous with the implicit attitude construct. At the same time, correlations between the IAT and criterion measures are often remarkably low. Developed within research using explicit measures of attitudes, the correspondence principle posits that measures should better predict criteria when there is a match in terms of the level of generality or specificity at which both are conceptualized (Ajzen & Fishbein, 1977). As such, weak implicit-criterion correlations are to be expected when broad general implicit measures are used to predict highly specific criteria. Research using explicit measures of attitudes consistently supports the correspondence principle, but conceptual correspondence is rarely considered by researchers using implicit measures to predict behavior and other relevant criterion measures. In five experiments (total N = 4650), we provide the first direct evidence demonstrating the relevance of the correspondence principle to the predictive validity of the IAT and Single Target IAT. That said, it is not the case that the IAT always predicts criteria better when correspondence is high. Inconsistency across the pattern of results suggests there is much more that remains to be understood about the relevance of the correspondence principle to the implicit-criterion relationship. Taken together, however, our findings suggest that conceptual correspondence typically increases (and never decreases) the magnitude of implicit-behavior and implicit-explicit relationships. We provide a framework for future research necessary to establish when correspondence is more likely to increase the predictive validity of measures such as the IAT.

Motivational Relevance Modulates the Predictive Validity of the Implicit Association Test

2020 ◽  
Vol 38 (3) ◽  
pp. 234-265
Author(s):  
Cristina Zogmaister ◽  
Juliette Richetin ◽  
Marco Perugini ◽  
Michela Vezzoli ◽  
Giulia Songa
Keyword(s):  
Predictive Validity ◽  
Implicit Association Test ◽  
Association Test ◽  
Implicit Association

Predictive Validity of the Christian Humanist Implicit Association Test

2010 ◽  
Author(s):  
W. Larry Ventis ◽  
John A. Terrizzi ◽  
Christopher Ball ◽  
David Gershan
Keyword(s):  
Predictive Validity ◽  
Implicit Association Test ◽  
Association Test ◽  
Implicit Association

scholarly journals Using the Implicit Association Test to Assess Risk Propensity Self–Concept: Analysis of Its Predictive Validity on A Risk–Taking Behaviour in A Natural Setting

2014 ◽  
Vol 28 (5) ◽  
pp. 459-471 ◽  
Author(s):  
Javier Horcajo ◽  
Víctor J. Rubio ◽  
David Aguado ◽  
José Manuel Hernández ◽  
M. Oliva Márquez
Keyword(s):  
Predictive Validity ◽  
Risk Taking ◽  
Implicit Association Test ◽  
Association Test ◽  
Self Report ◽  
Self Concept ◽  
Natural Setting ◽  
Implicit Association ◽  
Risk Propensity ◽  
Indirect Measures

The present work analyses the predictive validity of measures provided by several available self–report and indirect measurement instruments to assess risk propensity (RP) and proposes a measurement instrument using the Implicit Association Test: the IAT of Risk Propensity Self–Concept (IAT–RPSC), an adaptation of the prior IAT–RP of Dislich et al. Study 1 analysed the relationship between IAT–RPSC scores and several RP self–report measures. Participants’ risk–taking behaviour in a natural setting was also assessed, analyzing the predictive validity of the IAT–RPSC scores on risk–taking behaviour compared with the self–report measures. Study 2 analysed the predictive validity of the IAT–RPSC scores in comparison with other indirect measures. Results of these studies showed that the IAT–RPSC scores exhibited good reliability and were positively correlated to several self–report and indirect measures, providing evidence for convergent validity. Most importantly, the IAT–RPSC scores predicted risk–taking behaviour in a natural setting with real consequences above and beyond all other self–report and indirect measures analysed. Copyright © 2013 European Association of Personality Psychology

Sign in / Sign up

Export Citation Format

Share Document