[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 ...

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.

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.

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.

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.

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.

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.

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.

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.

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).