Errors in verbal-discrimination learning varied inversely with degree of orthographic distinctiveness between intrapair wrong and right items (homonyms scaled for orthographic distinctiveness) in both mixed and unmixed lists. The inverse relationship supports the hypothesis that the difficulty of intrapair discriminations increases as the degree of feature sharing between intrapair items increases. In addition, the operation of a selective-strategy process with the mixed lists served to magnify the effect of distinctiveness. In single-item recognition learning, a number of words are exposed individually during a study phase. During a subsequent test phase, these 'old' words are again presented individually, together with a number of 'new' words that had not been included in the prior study phase. The subject must decide for each test word whether it is old or new. A false recognition occurs when a new word is misidentified as being old. By contrast, an individual item presented for study in the verbal-discrimination task consists of two (or more) words, one of which has been arbitrarily designated by the experimenter as 'right' (R) and the other(s) as 'wrong' (W). Thus, rather than having to make a simple old/new discrimination during test phases, the subject must discriminate between two old words. A false recognition occurs when a W word is misidentified as being an R word. For single words, several current models of recognition learning (e.g., Kintsch, 1970) presume that the stored representation of each word receives a recency tag during the study phase. Identification of a given word as old or new during the test phase is then contingent upon the presence or absence of a recency tag stored with the subject's representation of that word. However, recency tags are likely to be inadequate as a basis for recognizing R words in a verbal-discrimination task, in that both words of each W-R pair may carry such tags. A plausible alternative is that the subject stores a frequency-ofresponding tag with the stored representation of every W and R word in
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