items belonging to the target category and specific attribute (yellow and good or yellow and bad) can be picked from surrounding distractor items that are not associated with the target concept or attribute. Respondents are required to press a key when they identify a stimulus that belongs to one of these categories, and not to press a key when they see stimuli that does not belong to those categories. The difference in ability to correctly associate the concept with the specific attributes is described to be the measure of automatic attitude. Unlike the IAT, which measures response latency, the GNAT measures accuracy in identifying the specific relationships between the target concept and specific attributes. The Single Category IAT, also known as Single-Target IAT (ST-IAT), is unique in that it uses one target category instead of the two required in the original IAT. During the ST-IAT, respondents complete a discrimination block of the evaluative stimuli. The second block consists of sorting target concepts and positive items with one response key and negative items with the other. In the last block, respondents are required to sort target stimuli and negative items together with one key, and positive items with the other key. In comparison to the IAT, which uses contrasts in latency between two concepts and two attributes, the ST-IAT focuses on latency differences in relation to one concept and two attributes. Types Valence Valence IATs measure associations between concepts and positive or negative valence. They are generally interpreted as a preference for one category over another. For example, the Race IAT shows that more than 70% of individuals have an implicit preference for Whites over Blacks. On the other hand, only half of Black individuals prefer Blacks over Whites (cf. the earlier "doll experiment" developed by psychologists Kenneth and Mamie Clark during the early civil rights era). Similarly, the Age IAT generally shows that most individuals have an implicit preference for young over old, regardless of the age of the person taking the IAT. The Weight IAT indicates that medical students have lower implicit biases towards obese individuals compared to the general public, but increased explicit biases, although public explicit and implicit biases remained stable. Research with the Sexuality IAT shows that heterosexual individuals have an implicit preference for heterosexuals, associating them with more positive attributes. In contrast, bisexual individuals indicated a preference for heterosexuals over homosexuals, specifically as a result