[PDF] Implicit measures: A normative analysis and review. | Semantic Scholar (2024)

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A meta-analysis of procedures to change implicit measures.
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It is found that implicit measures can be changed, but effects are often relatively weak (|ds| < .30), and changes in implicit measures did not mediate changes in explicit measures or behavior.

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Introduction. The core idea behind the Implicit Association Test (IAT) is toobtain information that are not the result of controlled processes. Therefore, it isconsidered a technique with the

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Four theoretical and methodological problems that have impeded implicit attitude research and the popular understanding of its findings are described, formal modeling is described as one means to address them, and illustrative examples are provided.

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Scientific interest in unintended discrimination that can result from implicit attitudes and stereotypes (implicit biases) has produced a large corpus of empirical findings. In addition to much

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The evidence is reviewed and it is shown that there is insufficient evidence for the claim that the Implicit Association Test measures individual differences in implicit social cognition, and that the IAT can be used as a measure of sensitive attitudes to reduce measurement error by using a multimethod measurement model.

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Implicit measures in social cognition. research: their meaning and use.
    R. FazioM. Olson

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    Annual review of psychology

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This work reviews research that has utilized implicit measures across several domains, including attitudes, self-esteem, and stereotypes, and discusses their predictive validity, their interrelations, and the mechanisms presumably underlying their operation.

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Response Interference as a Mechanism Underlying Implicit Measures Some Traps and Gaps in the Assessment of Mental Associations with Experimental Paradigms
    Bertram GawronskiRoland DeutschEtienne P LeBelKurt R. Peters

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Over the last decade, implicit measures of mental associations (e.g., Implicit Association Test, sequential priming) have become increasingly popular in many areas of psychological research. Even

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A Structural and Process Analysis of the Implicit Association Test
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Abstract The Implicit Association Test (IAT) is based on the observation that participants find it easier to respond in the same way to exemplars of two concepts when these concepts are similar

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    W. HofmannBertram GawronskiTobias GschwendnerHuy LeManfred J. Schmitt

    Psychology

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The results suggest that implicit and explicit measures are generally related but that higher order inferences and lack of conceptual correspondence can reduce the influence of automatic associations on explicit self-reports.

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Understanding and Using the Implicit Association Test: II. Method Variables and Construct Validity
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In four studies, analyses of data from 11 Web IATs supported the following conclusions: (a) sorting IAT trials into subsets does not yield conceptually distinct measures; (b) valid IAT measures can be produced using as few as two items to represent each concept; and (c) a known extraneous effect of IAT task block order was sharply reduced by using extra practice trials.

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How do indirect measures of evaluation work? Evaluating the inference of prejudice in the Implicit Association Test.
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This review of 122 research reports (184 independent samples, 14,900 subjects) found average r = .274 for prediction of behavioral, judgment, and physiological measures by Implicit Association Test

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The quadruple process model proposed and tested in the present article quantitatively disentangles the influences of 4 distinct processes on implicit task performance: the likelihood that automatic bias is activated by a stimulus; that a correct response can be determined; thatautomatic bias is overcome; and that, in the absence of other information, a guessing bias drives responses.

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Understanding and using the implicit association test: I. An improved scoring algorithm.
    A. GreenwaldBrian A. NosekM. Banaji

    Psychology

    Journal of personality and social psychology

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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, and strongly outperforms the earlier (conventional) procedure.

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Implicit measures of attitudes
    Bernd WittenbrinkN. Schwarz

    Psychology

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Wittenbrink, Schwarz, Introduction. Part I: Procedures and Their Implementation. Wittenbrink, Measuring Attitudes through Priming. Lane, Banaji, Nosek, Greenwald, Understanding and Using the Implicit

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    [PDF] Implicit measures: A normative analysis and review. | Semantic Scholar (2024)

    FAQs

    What do implicit measures measure? ›

    Most generally, implicit measures assess people's thoughts and feelings without having to ask them directly, “What do you think about X?” The most well-known implicit measure—the Implicit Association Test (IAT; Greenwald, McGhee, & Schwartz, 1998)—accomplishes this by measuring the speed and accuracy with which people ...

    How to measure implicit attitudes? ›

    Measurement. There is an assortment of different experimental tests that assess for the presence of implicit attitudes, including the implicit association test, evaluative and semantic priming tasks, the Extrinsic Affective Simon Task, Go/No-Go Association Task, and the Affect Misattribution Procedure.

    Which is an example of an implicit method of measurement? ›

    2 Implicit Attitude Measures

    Such measures include projective procedures, such as the Thematic Apperception Test, as well as more recent developments that rely on response time measurement, such as lexical decision or pronunciation tasks.

    What are the disadvantages of implicit measures? ›

    Limitations of implicit measures

    A limitation according to Calvert is that implicit measures only capture responses to the attributes you choose to include, as opposed to, for example, fMRI which measures activity across the entire brain.

    What is the most common measure of implicit bias? ›

    Over the past decades, at least 20 different instruments (see Table 1) have been developed to measure implicit bias. Among these instruments, the IAT (#11) and the Single Category Implicit Association Test (SC-IAT; #19) are the most common measures used for the assessment of implicit biases and self-concepts.

    What is the main measuring instrument for assessing implicit attitudes? ›

    The Implicit Association Test (IAT) measures the strength of associations between concepts and evaluations or stereotypes to reveal an individual's hidden or subconscious biases. This test was first published in 1998 by Project Implicit, and has since been continuously updated and enhanced.

    What is the most widely used test to measure implicit attitudes and preferences? ›

    The IAT measures the strength of associations between concepts (e.g., black people, gay people) and evaluations (e.g., good, bad) or stereotypes (e.g., athletic, clumsy). The main idea is that making a response is easier when closely related items share the same response key.

    What is implicit measure explicit measure? ›

    Implicit measures are automatically created by Power BI and are quick and easy to use, while explicit measures provide more customization and flexibility, but require DAX formula writing skills.

    What does the implicit association test measure? ›

    The Implicit Association Test (IAT) measures the strength of associations between concepts and evaluations or stereotypes to reveal an individual's hidden or subconscious biases. This test was first published in 1998 by Project Implicit, and has since been continuously updated and enhanced.

    What are measures of implicit learning? ›

    Measurements of awareness

    Implicit learning experiments use a dissociation paradigm to show that the knowledge was gained unintentionally and without awareness by the participant. Some measures of awareness include verbal reports, forced-choice tests and subjective tests.

    What is the difference between explicit and implicit measures in psychology? ›

    Therefore, explicit measures typically apply a direct assessment of attitudes (e.g., a survey), whereas implicit measures take a more indirect approach (e.g., the IAT), thereby minimizing the influence of conscious cognitive processes (e.g., social desirability).

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