What Is the Implicit Gender-Science Stereotype? Exploring Correlations Between the Gender-Science IAT and Self-Report Measures

2017 ◽  
Vol 8 (7) ◽  
pp. 719-735 ◽  
Author(s):  
Hila Zitelny ◽  
Michal Shalom ◽  
Yoav Bar-Anan
Keyword(s):  
Liberal Arts ◽  
Self Report ◽  
Implicit Measure ◽  
Implicit Measures ◽  
Data Set ◽  
Total N ◽  
Implicit And Explicit ◽  
And Behavior ◽  
Explicit Measures ◽  
Better Than

Implicit measures of the gender-science stereotype are often better than explicit measures in predicting relevant outcomes. This finding could reflect a discrepancy between implicit and explicit stereotypes, but an alternative is that the implicit measure is sensitive to constructs other than the stereotype. Analyzing an archival data set (total N = 478,550), we found that self-reported liking of science versus liberal arts was the best predictor of the gender-science implicit association test (IAT). In a reanalysis of a previous study and a replication of another study, we found that evidence for the IAT’s advantage over explicit stereotypes in predicting relevant outcomes disappeared when controlling for self-reported liking. Therefore, perhaps the IAT has often outperformed the explicit stereotype because the gender-science IAT captures personal attraction, whereas the explicit stereotype does not. It is premature to conclude that implicit constructs are superior to explicit constructs in predicting science-related plans and behavior.

Structure and Function of Attitudes

2019 ◽  
Author(s):  
Pablo Briñol ◽  
Richard E. Petty ◽  
Maria Stavraki
Keyword(s):  
Attitude Change ◽  
Self Report ◽  
Attitude Strength ◽  
Implicit Measures ◽  
Attitude Certainty ◽  
Predicting Behavior ◽  
And Function ◽  
Implicit And Explicit ◽  
And Behavior ◽  
Explicit Measures

Attitudes refer to general evaluations people have regarding people, places, objects, and issues. Attitudes serve a number of important functions such as guiding choices and actions and giving people a sense of identity and belonging. Attitudes can differ in the extent to which they come from affect, cognition, and behavior. These bases of attitudes can be appraised objectively and subjectively. Attitudes can also differ in their strength, with some attitudes being more impactful and predictive of behavior than others. Some indicators of attitude strength have been viewed as relatively objective in nature (e.g., stability, resistance, accessibility, spreading) whereas other strength indicators are more subjective in nature (e.g., attitude certainty, subjective ambivalence, perceived moral basis of attitudes). Attitudes can be stored in memory in different ways, including an attitude structure in which attitude objects are linked to both positivity and negatively separately, tagging these evaluations with varying degrees of validity. Finally, after a long tradition of assessing attitudes using people’s responses to self-report measures (explicit measures of attitudes), more recent work has also assessed attitude change with measures that tap into people’s more automatic evaluations (implicit measures of attitudes). Implicit and explicit measures can be useful in predicting behavior separately and also in combination.

A Latent State-Trait Analysis of Implicit and Explicit Personality Measures

2005 ◽  
Vol 21 (2) ◽  
pp. 100-107 ◽  
Author(s):  
Stefan C. Schmukle ◽  
Boris Egloff
Keyword(s):  
Personality Assessment ◽  
Self Report ◽  
Personality Measures ◽  
Implicit Measures ◽  
Trait Analysis ◽  
Specific Effects ◽  
Implicit Personality ◽  
Implicit Assessment ◽  
Implicit And Explicit ◽  
Explicit Measures

Abstract. Explicit personality measures assess introspectively accessible self-descriptions. In contrast, implicit personality measures assess introspectively inaccessible processes that operate outside awareness. However, for both kinds of trait measures, the effect of the situation in which the assessment takes place should be as small as possible. The present study aims at quantifying possible systematic occasion-specific effects on implicit measures (Implicit Association Test) and explicit measures (self-report ratings) of extraversion and anxiety by means of a latent state-trait analysis. This analysis revealed that - as desired for personality assessment - all four measures capture mostly stable interindividual differences. Nevertheless, occasion-specific effects were also observed. These effects were (1) more pronounced for implicit than for explicit measures and (2) more pronounced for anxiety than for extraversion. Implications for the implicit assessment of personality traits are discussed.

scholarly journals Can Implicit Measures Contribute to a True Understanding of People's Attitudes and Stereotypes?

2018 ◽  
Vol 5 (2) ◽  
pp. 106-131
Author(s):  
Brian O'Shea
Keyword(s):  
Impression Management ◽  
Minority Groups ◽  
Reaction Times ◽  
Implicit Measure ◽  
Implicit Measures ◽  
Individual Level ◽  
Self Reports ◽  
The Individual ◽  
Implicit And Explicit ◽  
Explicit Measures

Traditionally psychologists used explicit self-reports to better understand individuals’ attitudes but influences such as social desirability and impression management often made this method of data collection unreliable. This article describes the origins and the advancements of one of the most studied topics in social psychology - Implicit Social Cognition. Unobtrusive/indirect research methods were initially used to overcome the problems of using self-reports. Subsequently, reaction time tasks such as the Implicit Association Test (IAT) were developed to enable researchers to measure response biases, at the individual level, in socially sensitive domains such as prejudice towards minority groups. Automaticity is a core requirement for a measure to be described as implicit and therefore, fast reaction times (< 2,000 milliseconds) are needed. This article will describe under what conditions implicit and explicit measures are and are not related, including the theoretical basis for these relations. The value of using both implicit and explicit measures to predict behaviour will be explained, along with a discussion on what implicit measure are detecting. In certain domains or under specific conditions, implicit measures can contribute to providing a true understanding of attitudes and stereotypes.

Self-Serving Bias in the Implicit and Explicit Evaluation of Partners and Exes as Parents

2016 ◽  
Vol 118 (1) ◽  
pp. 251-265 ◽  
Author(s):  
Valeria Verrastro ◽  
Irene Petruccelli ◽  
Pierluigi Diotaiuti ◽  
Filippo Petruccelli ◽  
Francesco Dentale ◽  
...  
Keyword(s):  
Sex Differences ◽  
Self Report ◽  
Implicit Association ◽  
Association Tests ◽  
Explicit Evaluation ◽  
Parenting Role ◽  
Implicit And Explicit ◽  
Explicit Measures ◽  
Better Than

The quality of partners’ relationship can be influenced by the reciprocal respect of the other’s parenting role, especially when the couple breaks up. This study is aimed at investigating the implicit versus explicit self-serving biases in the evaluation of partners and exes as parents (or potential parents), exploring sex differences and possible relationships with dyadic cohesion. Two Implicit Association Tests and two semantic differentials, comparing each respondent with current partners and last significant exes, and also a scale measuring dyadic cohesion were administered to 108 participants (40 men; M age = 28.1 yr., SD = 8.7). As expected, participants assessed themselves as better than others on both IAT and self-report evaluations, with larger effects toward exes than toward partners and on implicit than explicit measures. Women devalued exes, but not partners, more than men. Dyadic cohesion scores were negatively correlated with the explicit evaluations of partners but not with implicit ones. Theoretical interpretations in terms of self-serving bias were discussed.

scholarly journals Interrelation of Self-Report, Behavioural and Electrophysiological Measures Assessing Pain-Related Information Processing

2011 ◽  
Vol 16 (1) ◽  
pp. 33-40 ◽  
Author(s):  
Oliver Dittmar ◽  
Rüdiger Krehl ◽  
Stefan Lautenbacher
Keyword(s):  
Information Processing ◽  
Discriminant Validity ◽  
Pain Catastrophizing ◽  
Self Report ◽  
Implicit Measures ◽  
Pain Anxiety ◽  
Related Information ◽  
Implicit And Explicit ◽  
Pain Anxiety Symptoms Scale ◽  
Explicit Measures

INTRODUCTION: A number of variables reflecting attentional and emotional mechanisms of processing pain-related information have recently attracted interest, ie, fear of pain, pain catastrophizing, hypervigilance and attentional bias to pain. These variables can be assessed by explicit measures based on conscious self-report, or by implicit measures assessing mainly preconscious stages of information processing such as behavioural or electrophysiological tests. Convergent validity within implicit measures was assumed to be high, as was the discriminant validity between implicit and explicit measures.METHOD: In the present study, two implicit measures (the dot-probe task for pain words and a word-processing task for pain words allowing event-related brain potential recordings) and three self-report measures (Pain Catastrophizing Scale, Pain Anxiety Symptoms Scale, and Pain Hypervigilance and Awareness Questionnaire) were administered to 27 healthy participants.RESULTS: No significant associations were found between the implicit measures, or between the event-related brain potentials of pain words and the explicit measures. A single significant positive correlation was found between the dot-probe pain bias and the Pain Anxiety Symptoms Scale.CONCLUSION: All variables appeared to be only weakly associated. The attempt to organize the field of variables targeting attentional and emotional mechanisms of processing pain-related information using concepts such as implicit and explicit measures failed as far as the present test on convergent/discriminant validity proved.

scholarly journals The target/perpetrator brief-implicit association test (B-IAT): an implicit instrument for efficiently measuring discrimination based on race/ethnicity, sex, gender identity, sexual orientation, weight, and age

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Maddalena Marini ◽  
Pamela D. Waterman ◽  
Emry Breedlove ◽  
Jarvis T. Chen ◽  
Christian Testa ◽  
...  
Keyword(s):  
Sexual Orientation ◽  
Gender Identity ◽  
Implicit Association Test ◽  
Mental Representations ◽  
Association Test ◽  
Implicit Association ◽  
Implicit Measures ◽  
Race Ethnicity ◽  
Implicit And Explicit ◽  
Explicit Measures

Abstract Background To date, research assessing discrimination has employed primarily explicit measures (i.e., self-reports), which can be subject to intentional and social desirability processes. Only a few studies, focusing on sex and race/ethnicity discrimination, have relied on implicit measures (i.e., Implicit Association Test, IAT), which permit assessing mental representations that are outside of conscious control. This study aims to advance measurement of discrimination by extending the application of implicit measures to multiple types of discrimination and optimizing the time required for the administration of these instruments. Methods Between September 27th 2019 and February 9th 2020, we conducted six experiments (984 participants) to assess implicit and explicit discrimination based on race/ethnicity, sex, gender identity, sexual orientation, weight, and age. Implicit discrimination was measured by using the Brief-Implicit Association Test (B-IAT), a new validated version of the IAT developed to shorten the time needed (from ≈15 to ≈2 min) to assess implicit mental representations, while explicit discrimination was assessed using self-reported items. Results Among participants (mean age = 37.8), 68.6% were White Non-Hispanic; 69% were females; 76.1% were heterosexual; 90.7% were gender conforming; 52.8% were medium weight; and 41.5% had an advanced level of education. Overall, we found implicit and explicit recognition of discrimination towards all the target groups (stronger for members of the target than dominant groups). Some exceptions emerged in experiments investigating race/ethnicity and weight discrimination. In the racism experiment, only people of Color showed an implicit recognition of discrimination towards the target group, while White people were neutral. In the fatphobia experiment, participants who were not heavy showed a slight implicit recognition of discrimination towards the dominant group, while heavy participants were neutral. Conclusions This study provides evidence that the B-IAT is a valuable tool for quickly assessing multiple types of implicit discrimination. It shows also that implicit and explicit measures can display diverging results, thus indicating that research would benefit from the use of both these instruments. These results have important implications for the assessment of discrimination in health research as well as in social and psychological science.

scholarly journals Predicting Contamination Aversion Using Implicit and Explicit Measures of Disgust and Threat Overestimation

2018 ◽  
Vol 35 (1) ◽  
pp. 22-38 ◽  
Author(s):  
Melissa Rouel ◽  
Richard J. Stevenson ◽  
Evelyn Smith
Keyword(s):  
Implicit Measures ◽  
Obsessive Compulsive ◽  
Implicit Processes ◽  
Contamination Fear ◽  
Harmful Substances ◽  
Implicit And Explicit ◽  
Explicit Measures

Explicit measures of disgust and threat overestimation have consistently been found to be involved in contamination aversion. However, evidence of the involvement of these factors at the implicit level is mixed, and the role of both responses has not been looked at concurrently. This study aimed to compare the ability of implicit and explicit measures of disgust and threat overestimation to predict contamination aversion and whether this depends on the type of contaminant. Sixty-five participants completed explicit and implicit measures of disgust and threat overestimation, as well as several measures of contamination aversion, including obsessive-compulsive tendencies, and contamination fear and avoidance of contaminants directly associated with disease (direct contaminants) and harmful substances (harm contaminants). It was found that both explicit disgust and explicit threat overestimation predicted contamination-fear obsessive-compulsive tendencies. Explicit disgust predicted contamination fear and avoidance of direct contaminants, whereas explicit threat overestimation predicted contamination fear and avoidance of harm contaminants. The involvement of implicit processes was weak, with some suggestion of difficulty disengaging predicting avoidance of contaminants. Implications for understanding dysfunctional contamination aversion are discussed.

Race of Athlete-Spokesperson and Implicit and Explicit Responses to Advertising

2014 ◽  
Vol 42 (4) ◽  
pp. 655-671 ◽  
Author(s):  
Howon Jeong ◽  
Sungho Cho ◽  
Minyoung Lee ◽  
Endarman Sputra
Keyword(s):  
Racial Bias ◽  
Implicit Attitudes ◽  
Measurement Methods ◽  
Implicit Measures ◽  
Black Athlete ◽  
Black Athletes ◽  
Implicit Preferences ◽  
White Athletes ◽  
Implicit And Explicit ◽  
Explicit Measures

In this study we investigated racial vs. athletes from other countries, bias and differences in attitude of South Koreans toward advertisements featuring Korean vs. foreign athletes and White vs. Black athletes by implementing explicit and implicit measures. The results suggest that Koreans have: (a) implicit preferences for Korean athletes over foreign athletes, (b) implicit attitudes that are more favorable toward advertisements featuring Korean athletes than toward those featuring foreign athlete-spokespersons, (c) implicit preferences for White athletes over Black athletes, and (d) implicit attitudes that are more favorable toward advertisements featuring White athlete-spokespersons than toward those featuring Black athlete-spokespersons. The explicit measures revealed several contradictory results; therefore we have discussed implications for the discrepancy between implicit and explicit measurement methods and the usefulness of implicit measures in the context of racial bias research.

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 &amp; 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.

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.

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