  Although the IAT remains the most popular implicit measure, it is far from the only one. Other prominent implicit measures, many of which are derivations of sequential priming, are semantic priming (Banaji &amp; Hardin 1996) and the Affect Misattribution Procedure (AMP; Payne et al. 2005). Also, a “second generation” of categorization-based measures (like the IAT) has been developed. For example, the Go/No-go Association Task (GNAT; Nosek &amp; Banaji 2001) presents subjects with one target object rather than two in order to determine whether preferences or aversions are primarily responsible for scores on the standard IAT (i.e., the ease of pairing good words with white faces and bad words with black faces, or the difficulty of pairing good words with black faces and bad words with white faces; Brewer 1999).