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The implicit-association test (IAT) is an assessment intended to detect subconscious associations between mental representations of objects in memory. [1] Its best-known application is the assessment of implicit stereotypes held by test subjects, such as associations between particular racial categories and stereotypes about those groups. [ 2 ]
The Swanson, Nolan and Pelham Teacher and Parent Rating Scale (SNAP), developed by James Swanson, Edith Nolan and William Pelham, is a 90-question self-report inventory designed to measure attention deficit hyperactivity disorder (ADHD) and oppositional defiant disorder (ODD) symptoms in children and young adults.
It came as a major blow when four separate meta–analyses, undertaken between 2009 and 2015—each examining between 46 and 167 individual studies—all showed the IAT [implicit bias test] to be a weak predictor of behavior. Proponents of the IAT tend to point to individual studies showing strong links between test scores and racist behavior.
The implicit association test is a testing method designed by Anthony Greenwald, Debbie McGhee and Jordan Schwartz, and was first introduced in 1998. [2] The IAT measures the associative strength between categories (e.g. Bug, Flower) and attributes (e.g. Bad, Good) by having participants rapidly classify stimuli that represent the categories and attributes of interest on a computer. [3]
The Implicit Relational Assessment Procedure (IRAP) is a computer-based psychological measure. It was heavily influenced by the implicit-association test, [1] and is one of several tasks referred to as indirect measures of implicit attitudes.
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The test enables the assessment of a broad range of academics skills or only a particular area of need. The WIAT-II is a revision of the original WIAT (The Psychological Corporation), and additional measures. There are four basic scales: Reading, Math, Writing and Oral Language. Within these scales there is a total of 9 sub-test scores. [1]
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