scholarly journals Why Does the IAT Reveal a Preference for Stimuli Said to Be Paired With an Unpleasant Sound? Stalking the Unexpected

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Simone Mattavelli ◽  
Pieter Van Dessel ◽  
Jan De Houwer
Keyword(s):  
Implicit Association Test ◽  
Evaluative Conditioning ◽  
Association Test ◽  
Negative Evaluation ◽  
Self Report ◽  
Implicit Association ◽  
Unexpected Effect ◽  
Study Participants

The Implicit Association Test (IAT) is the most widely used measure to assess automatic evaluations. One classic phenomenon that has been well established both using the IAT and self-report measures of liking is evaluative conditioning (EC), which refers to a change in the evaluation of a stimulus due to its pairing with another stimulus. Research has documented that EC can also occur when participants are merely informed about upcoming stimulus pairings. In a recent study, participants reported a more negative evaluation of non-words that were instructed to be followed by an unpleasant sound compared to non-words that would not to be followed by this sound (De Houwer, Mattavelli, & Van Dessel, 2019). Interestingly, however, an unexpected pattern was observed on an IAT, that is, a preference for the stimulus said to be followed by the sound. We report three pre-registered experiments (N = 650) in which we manipulated different aspects of the procedure such as the stimuli, instructions, and the measure, but that still revealed the same dissociation. Based on three pilot experiments (N = 92), we then conducted a registered report study (Experiment 4) testing whether the unexpected effect depends on how the USs are labelled in the instructions. Although describing the aversive sound as negative eliminated the unexpected IAT effect, the type of instruction only had a weak impact on IAT effects. These results are in line with prior evidence showing that IAT scores are malleable.

scholarly journals Understanding and Using the Implicit Association Test: 1. An Improved Scoring Algorithm

2016 ◽  
Author(s):  
Anthony G. Greenwald ◽  
Brian A. Nosek ◽  
Mahzarin R. Banaji
Keyword(s):  
Implicit Association Test ◽  
Large Data ◽  
Association Test ◽  
Large Data Sets ◽  
Self Report ◽  
Data Sets ◽  
Implicit Association ◽  
Conventional Procedure ◽  
Latency Variability ◽  
Practice Trials

In reporting Implicit Association Test (IAT) results, researchers have most often used scoring conventions described in the first publication of the IAT (A. G. Greenwald, D. E. McGhee, & J. L. K. Schwartz, 1998). Demonstration IATs available on the Internet have produced large data sets that were used here to evaluate alternative scoring procedures. Candidate new algorithms were examined in terms of their (a) correlations with parallel self- report measures, (b) resistance to an artifact associated with speed of responding, (c) internal consistency, (d) sensitivity to known influences on IAT measures, and (e) resistance to known procedural influences. The best-performing measure incorporates data from the IAT’s practice trials, uses a metric that is calibrated by each respondent’s latency variability, and includes a latency penalty for errors. This new algorithm strongly outperforms the earlier (conventional) procedure.

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.

Assessing Positive Orientation With the Implicit Association Test

2019 ◽  
Vol 35 (1) ◽  
pp. 109-116 ◽  
Author(s):  
Giulio Costantini ◽  
Marco Perugini ◽  
Francesco Dentale ◽  
Claudio Barbaranelli ◽  
Guido Alessandri ◽  
...  
Keyword(s):  
Implicit Association Test ◽  
Convergent Validity ◽  
Association Test ◽  
Self Report ◽  
Implicit Association ◽  
Positive Orientation ◽  
Indirect Measure ◽  
Lexical Study ◽  
Positive Outlook

Abstract. Positive orientation (PO) is a basic predisposition that consists in a positive outlook toward oneself, one’s life, and one’s future, which is associated to many desirable outcomes connected to health and to the general quality of life. We performed a lexical study for identifying a set of markers of PO, developed an Implicit Association Test (the PO-IAT), and investigated its psychometric properties. The PO-IAT proved to be a reliable measure with a clear pattern of convergent validity, both with respect to self-report scales connected to PO and with respect to an indirect measure of self-esteem. A secondary aim of our studies was to validate a new brief adjective scale to assess PO, the POAS. Our results show that both the PO-IAT and the self-reported PO predict the frequency of depressive symptoms and of self-perceived intelligence.

Measuring evaluative conditioning using the Implicit Association Test

2003 ◽  
Vol 34 (2) ◽  
pp. 203-217 ◽  
Author(s):  
Chris J. Mitchell ◽  
Nick E. Anderson ◽  
Peter F. Lovibond
Keyword(s):  
Implicit Association Test ◽  
Evaluative Conditioning ◽  
Association Test ◽  
Implicit Association

scholarly journals Applying the Implicit Association Test to Measure Intolerance of Uncertainty

2016 ◽  
Vol 119 (1) ◽  
pp. 55-70
Author(s):  
Oriana Mosca ◽  
Francesco Dentale ◽  
Marco Lauriola ◽  
Luigi Leone
Keyword(s):  
Impression Management ◽  
Implicit Association Test ◽  
Intolerance Of Uncertainty ◽  
Emotional Reactions ◽  
Association Test ◽  
Self Report ◽  
Implicit Association ◽  
Negative Consequences ◽  
Analysis Model ◽  
Student Sample

Intolerance of Uncertainty (IU) is a key trans-diagnostic personality construct strongly associated with anxiety symptoms. Traditionally, IU is measured through self-report measures that are prone to bias effects due to impression management concerns and introspective difficulties. Moreover, self-report scales are not able to intercept the automatic associations that are assumed to be main determinants of several spontaneous responses (e.g., emotional reactions). In order to overcome these limitations, the Implicit Association Test (IAT) was applied to measure IU, with a particular focus on reliability and criterion validity issues. The IU-IAT and the Intolerance of Uncertainty Inventory (IUI) were administered to an undergraduate student sample (54 females and 10 males) with a mean age of 23 years ( SD = 1.7). Successively, participants were asked to provide an individually chosen uncertain event from their own lives that may occur in the future and were requested to identify a number of potential negative consequences of it. Participants’ responses in terms of cognitive thoughts (i.e., cognitive appraisal) and worry reactions toward these events were assessed using the two subscales of the Worry and Intolerance of Uncertainty Beliefs Questionnaire. The IU-IAT showed an adequate level of internal consistency and a not significant correlation with the IUI. A path analysis model, accounting for 35% of event-related worry, revealed that IUI had a significant indirect effect on the dependent variable through event-related IU thoughts. By contrast, as expected, IU-IAT predicted event-related worry independently from IU thoughts. In accordance with dual models of social cognition, these findings suggest that IU can influence event-related worry through two different processing pathways (automatic vs. deliberative), supporting the criterion and construct validity of the IU-IAT. The potential role of the IU-IAT for clinical applications was discussed.

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

scholarly journals Health of the Implicit Association Test at Age 3

2001 ◽  
Vol 48 (2) ◽  
pp. 85-93 ◽  
Author(s):  
Anthony G. Greenwald ◽  
Brian A. Nosek
Keyword(s):  
Implicit Association Test ◽  
Discriminant Validity ◽  
Association Test ◽  
Self Report ◽  
Implicit Association ◽  
Special Issue ◽  
Substantial Evidence ◽  
Convergent And Discriminant Validity ◽  
Attitude Measures ◽  
New Evidence

Abstract. Since its first publication in 1998, the Implicit Association Test (IAT) has been used repeatedly to measure implicit attitudes and other automatic associations. Although there have also been a few studies critical of the IAT, there now exists substantial evidence for the IAT's convergent and discriminant validity, including new evidence reported in several of the articles in this special issue. IAT attitude measures have often correlated only weakly with explicit (self-report) measures of the same associations. It therefore seems appropriate to conclude that the IAT assesses constructs that are often (but not always) distinct from the corresponding constructs measured by self-report.

scholarly journals A multitrait-multimethod validation of the Implicit Association Test

2016 ◽  
Author(s):  
Brian A. Nosek ◽  
Frederick L. Smyth
Keyword(s):  
Implicit Association Test ◽  
Association Test ◽  
Self Report ◽  
Implicit Association ◽  
Single Factor ◽  
Contrast Model ◽  
Total N ◽  
Explicit Attitudes ◽  
Evaluative Processes ◽  
Implicit And Explicit

Recent theoretical and methodological innovations suggest a distinction between automatic and controlled evaluative processes. We report a construct validation investigation of the Implicit Association Test (IAT) as a measure of attitudes. In Study 1, a composite of 57 unique studies (total N=13,165), correlated two-factor (implicit and explicit attitudes) structural models fit the data better than single-factor (attitude) models for each of 57 different domains (e.g., cats-dogs). In Study 2, we distinguished attitude and method factors with a multitrait-multimethod design: N=287 participants were measured on both self-report and IAT for up to seven attitude domains. With systematic method variance accounted for, a correlated two-factor-per-attitude- contrast model was again superior to a single-factor-per-attitude specification. We conclude that these implicit and explicit measures assess related but distinct attitude constructs.

Applying the Latent State-Trait Analysis to Decompose State, Trait, and Error Components of the Self-Esteem Implicit Association Test

2019 ◽  
Vol 35 (1) ◽  
pp. 78-85 ◽  
Author(s):  
Francesco Dentale ◽  
Michele Vecchione ◽  
Valerio Ghezzi ◽  
Claudio Barbaranelli
Keyword(s):  
Implicit Association Test ◽  
Latent Trait ◽  
Error Variance ◽  
Self Esteem ◽  
Association Test ◽  
Self Report ◽  
Implicit Association ◽  
Implicit Measurement ◽  
Explicit Correlation ◽  
Latent Traits

Abstract. In the literature, self-report scales of Self-Esteem (SE) often showed a higher test-retest correlation and a lower situational variability compared to implicit measures. Moreover, several studies showed a close to zero implicit-explicit correlation. Applying a latent state-trait (LST) model on a sample of 95 participants (80 females, mean age: 22.49 ± 6.77 years) assessed at five measurement occasions, the present study aims at decomposing latent trait, latent state residual, and measurement error of the SE Implicit Association Test (SE-IAT). Moreover, in order to compare implicit and explicit variance components, a multi-construct LST was analyzed across two occasions, including both the SE-IAT and the Rosenberg Self-Esteem Scale (RSES). Results revealed that: (1) the amounts of state and trait variance in the SE-IAT were rather similar; (2) explicit SE showed a higher consistency, a lower occasion-specificity, and a lower proportion of error variance than SE-IAT; (3) latent traits of explicit and implicit SE showed a positive and significant correlation of moderate size. Theoretical implications for the implicit measurement of self-esteem were discussed.

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