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How to reconcile contrast model (of similarity judgment) with anchor-and-adjust?

How to reconcile contrast model (of similarity judgment) with anchor-and-adjust?


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Hastie & Dawes (2009) claims that humans judge whether an instance belongs to a class using the contrast model, where "we perceive similarity by making (very rapid) comparisons of the attributes of two or more entities whose similarity is being evaluated." (Hastie & Dawes (2009). Rational Choice in an Uncertain World, p. 106)

The book also claims that we often judge using an anchor-and-adjust strategy, considering one factor at a time because of "our limited attention 'channels' and the selective strategies we have developed to deal with that cognitive limit." (p. 72)

Do we employ an anchor-and-adjust strategy when employing the contrast model, i.e., are we contrasting one feature at a time, most salient feature first? Alternatively, are there situations in which we are forced to work with one variable at a time, but other situations in which we can simultaneously compare multiple variables?


Watch the video: Statistics with R 4 - Understanding contrasts and the model summary in R (May 2022).