0 
and that for things not owned appears in Table 5. (See 
Appendices J and K for complete listings.) Table 4 
represents 992 items, or 83% of the total, and Table 5 
represents 1090 items, or 91% of the total. 
For all items and categories in Tables 2 to 5, the null 
hypothesis of uniform distribution across the 10 recall 
positions was tested with the Kolmogorov-Smirnov Test of 
Goodness-of-Fit using the SPSS sub-program NPAR TESTS (Hull 
& Nie, 1981). This test is exact even for small 
distributions and is reportedly more powerful than the 
chi-square test (Conover, 1980). Exemplars and categories 
of exemplars with non-random recall positions are indicated 
by asterisks in their respective tables. Descriptively, the 
mean recall positions indicate the central tendencies of 
those non-random distributions. 
Also, measures were made of the extent to which the 
recall tasks produced similar listings. For the 
uncategorized data, 12 of the 26 most frequently listed 
items were the same for both listings. The correlation for 
frequency of recall for these 12 items was positive, but not 
significant (r = .26, p > .0l1). However, the correlation 
between the two recall listing for the 72 categories was 
significant (r = .45, p < .0l), indicating that about 20% of 
the variance in category frequency was due to common