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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]
Therefore, there are no aggregate measures or composite scores for an examinee's performance. A vast majority of these tests are modified, pre-existing measures (e.g., the Trail Making Test); however, some of these measures are new indices of executive functions (e.g., Word Context Test).
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This test became the first word fluency psychometrically measured test available to patients with brain damage. [3] The test is a used to measure an individual's symbolic verbal fluency. [4] [5] [6] The test asks the subject to write as many words as possible beginning with the letter 'S' within a 5-minute limit, then as many words as possible ...
For readers reading in their less proficient language, their word familiarity and knowledge of word frequency and function is much more limited. [3] Because of this, readers process text more sufficiently and pay more attention to individual words and “letter by letter word identification”, which results in less omissions of target letters ...
“The brain changes, and it doesn’t recover when you just stop the drug because the brain has been actually changed,” Kreek explained. “The brain may get OK with time in some persons. But it’s hard to find a person who has completely normal brain function after a long cycle of opiate addiction, not without specific medication treatment.”
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