L. Fields et al., PREDICTING THE EXTENSION OF EQUIVALENCE CLASSES FROM PRIMARY GENERALIZATION GRADIENTS - THE MERGER OF EQUIVALENCE CLASSES AND PERCEPTUAL CLASSES, Journal of the experimental analysis of behavior, 68(1), 1997, pp. 67-91
In Experiment 1, 6 college students were given generalization tests us
ing 25 line lengths as samples with a long line, a short line, and a '
'neither'' option as comparisons. The neither option was to be used if
a sample did not go with the other comparisons. Then, four-member equ
ivalence classes were formed. Class 1 included three nonsense words an
d the short line. Class 2 included three other nonsense words and the
long line. After repeating the generalization test for line length, ad
ditional tests were conducted using members of the equivalence classes
(i.e., nonsense words and lines) as comparisons and intermediate-leng
th. lines as samples. All Class 2 comparisons were selected in the pre
sence of the test lines that also evoked the selection of the long lin
e in the generalization test that had been given before equivalence cl
ass formation. Class 1 yielded complementary findings. Thus, the precl
ass primary generalization gradient predicted which test lines acted a
s members of each equivalence class. Regardless of using comparisons t
hat were nonsense words or Lines, the post-class-formation gradients o
verlapped, showing the substitutability of class members. Experiment 2
assessed the discriminability of the intermediate-length test lines f
rom the Class I (shortest) and Class 2 (longest) lines. The test lines
that functioned as members of an equivalence class were discriminable
from the line that was a member of the same class by training. Thus,
these test lines also acted as members of a dimensionally defined clas
s of ''long'' or ''short'' lines. Extension of an equivalence class, t
hen, involved its merger with a dimensionally defined class, which con
verted a close-ended class to an open-ended class. These data suggest
a means of predicting class membership in naturally occurring categori
es.