Single-Attribute Implicit Association Tests (SA-IAT) for the Assessment of Unipolar Constructs
Abstract
A major problem with Implicit Association Tests (IATs) is that they require bipolar attributes (e.g., good-bad). Thus, IAT effects for an attribute category can be interpreted only relative to an opposite category. Problems arise if there is no clear opposite category; in this case, a neutral category can be used, although it induces systematic error variance and thus reduces validity. The present study suggests that this problem can be solved using single-attribute IATs (SA-IATs). Sociosexuality (the tendency to engage in uncommitted sex) was expected to be related at the implicit level to stronger stranger-sex associations relative to partner-sex associations. An IAT was constructed that used conversation as a neutral attribute; it showed satisfactory reliability but only low correlations with explicit sociosexuality. An alternative SA-IAT with sex as the only attribute showed a similar reliability but higher correlations with explicit sociosexuality.
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