2006
DOI: 10.1027/1015-5759.22.1.13
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Predicting Spontaneous Big Five Behavior with Implicit Association Tests

Abstract: According to theories brought forward recently, implicit measures based on reaction times, for instance Implicit Association Tests (IATs), should predict spontaneous behavior better than explicit measures. We applied five IATs to the measurement of the Big Five personality factors and tested whether the IATs predicted spontaneous behavior. The results show that, although implicit and explicit measures of personality dimensions were related at times, the correlations between them and with behavior suggest that … Show more

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Cited by 152 publications
(109 citation statements)
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“…Further evidence indicates more generally that the influence of affective responses to stimuli on behaviour increases under time pressured conditions (Shiv, and Fedorikhin, 2002). In a similar way, implicit attitudes are found to be better predictors of spontaneous rather than deliberate behaviour (Asendorpf, Banse and Mucke, 2002;Steffens and Konig, 2006;Spence and Townsend, in press). It is possible that further refinement of the measurement of these constructs may enable purer measurements of spontaneous processes.…”
Section: Spontaneitymentioning
confidence: 82%
“…Further evidence indicates more generally that the influence of affective responses to stimuli on behaviour increases under time pressured conditions (Shiv, and Fedorikhin, 2002). In a similar way, implicit attitudes are found to be better predictors of spontaneous rather than deliberate behaviour (Asendorpf, Banse and Mucke, 2002;Steffens and Konig, 2006;Spence and Townsend, in press). It is possible that further refinement of the measurement of these constructs may enable purer measurements of spontaneous processes.…”
Section: Spontaneitymentioning
confidence: 82%
“…Since we wanted to investigate the impact of knowledge about faking strategies on the dissociable IAT effects, we needed a primary data set in which naïve and informed faking could be compared with each other. Third, the IAT used in the previous study (i.e., the extraversion IAT) is a frequently used and very popular IAT (e.g., Grumm & von Collani, 2007;Schmukle, Back, & Egloff, 2008;Steffens & Schulze-König, 2006). Last but not least, as 84 participants were included in this study an a priori power analysis using G*Power 3.1.7 (Faul, Erdfelder, Lang, & Buchner, 2007) revealed a power of nearly 100% (.998) for ANOVAs with repeated measures to detect a moderate effect size.…”
Section: Data For Reanalysismentioning
confidence: 99%
“…В соответствии с многопараметрическим ком-плексным анализом 35 В такои� ситуации мы осуществили эксплораторныи� факторныи� анализ и получили 2-факторное реше-ние (табл. 2), объяснившее 57.68% дисперсии.…”
Section: результатыunclassified