Implicit Association Test (IAT)
The Implicit Association Test is a testing method designed by Anthony Greenwald, Debbie McGhee and Jordan Schwartz, and was first introduced in 1998. 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. During four of the seven trial blocks in an IAT, categories and attributes share a response key (e.g. Bug or Bad, Flower or Good), with the underlying assumption being that participant response times will be quicker when the category and attribute are more closely associated.
Read more about this topic: Indirect Tests Of Memory
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