The Implicit Association Test (IAT) was designed to measure automatically activated attitudinal associations, free of the
influence of processes that affect their expression. Subsequent research has shown that IAT performance also is influenced
by non-associative processes, but the extent to which these non-associative processes are content-specific or if they operate
similarly regardless of the attitude being measured has largely gone unexamined. In the current research, participants completed
pairs of IATs that varied in conceptual overlap: Tests shared a high, moderate, or low degree of overlap in the measured attitudes.
The Quad model was applied to estimate the contributions of four processes to IAT performance. Evidence was found for two
relatively general, non-attitudinal processes and two relatively attitude-specific processes. Implications are discussed for
interpretation of IAT scores, individual differences in IAT scores, and IAT score malleability.