Blanton, Jaccard, Gonzales, and Christie (BJGC, 2006) assert that the Implicit Association Test (IAT) imposes a model that portrays relative preferences as the additive difference between single attitudes. This assertion is misplaced because relative preferences do not necessarily reduce to component attitudes. BJGC also assume that the IAT conditions represent two indicators of the same construct. This assumption is incorrect, and is the cause of their poor-fitting models. The IAT, like other experimental paradigms, contrasts performance between interdependent conditions, and cannot be reduced to component parts. This is true whether calculating a simple difference between conditions, or using the IAT D score. D -an individual effect size that is monotonically related to Cohen's dcodifies the interdependency between IAT conditions. When their unjustified psychometric assumptions are replaced with plausible assumptions, the models fit their data very well, and basis for their poor-fitting models becomes clear.Blanton, Jaccard, Gonzales, and Christie (2006; hereafter "BJGC") criticize relative measurement and the use of difference scores for comparing experimental conditions. This article makes two points: (1) BJGC are too quick to dismiss the value of relative measurement and mistakenly suggest that relative attitude measures are necessarily reducible to component evaluations; and (2) BJGC misperceive the Implicit Association Test (IAT; Nosek, Greenwald, & Banaji, in press) conditions as analogous to two items of a scale and consequently impose invalid psychometric assumptions by decomposing the performance conditions as separate indicators of the construct. BJGC mistook their poor model fits as showing problems with the IAT rather than as indicating problems with their assumptions.