We investigated whether the presence of exception items can
impede effects of category compression (within-category items
appearing more similar) in classification learning. We
hypothesized that the distinct representations afforded to
exceptions may cause the target category to appear less
cohesive, thereby reducing the likelihood of compression
occurring. Across two experiments, participants engaged in
classification learning without exceptions, with an easy
exception, or with a difficult exception. Pairwise similarity
ratings for all items were collected before and after learning to
index compression. Results from Experiment 1 suggest that
difficult exceptions can impede compression for the contrast
category when situated within its cluster, while results from
Experiment 2 suggest that both kinds of exceptions can impair
compression of standard items in a target category relative to
the No Exception control. We also observed surprising
evidence of a novel between-category compression effect that
was observed with the category structure developed for these
experiments.