Logical appropriateness as a variable in a compound paired-associate learning task
•
Logical appropriateness as a variable In
a compound
paired-associate learning task)
Robert E. Sbaw and James H. Koplin
VANDERBILT UNIJlERSITY
Abstraet
In a compound response paired-associate learning
task (e.g., blue- then color) 20 Ss made more correct
anticipations when the connective coupling the response
to the stimulus word was logically appropriate for the
word-pair class to which the stimulus and response
words belong than when it was logically inappropriate.
The appropriateness value of each connective was computed as the relative frequency with which 45 Ss selected
it as the best connective to use between each wordpair class.
Problem
Conventional linguistic labels for logical relationships
have been agreed upon by logicians. They appear in the
standard introductory textbooks on symbolic logic (see
for example, Suppes, 1957, p. 3). The English language
equivalents for the logical connectives which name the
most fundamental relationships are "and," "or," /'if,"
"then," and "not." Thus far no empirical ties have
been discovered between the theoretical logical relationships and the learning and performance variables of
human Ss. This experiment attempted to establish one
such tie in a standard laboratory task.
One method of analyzing the normative data gathered
in a free association situation has been to classify the
stimuli and responses into word pairs which are defined
by simple logical relationships. Some of the classes
often used are coordinates (cheese-crackers), ordinate
superordinate (blue-color), noun opposite (man-woman),
and adjective opposite (hot-cold). Certain other classes
of word pairs can be arbitrarily constructed by coupling
members of different word form classes. This leads to
such cases as adjective-noun (red-ball), noun-adjective
(sky-blue), and noun-verb (river-flows). This does not
exhaust the possible pairs that can be constructed; the
seven classes above were chosen for this experiment
because they represent the most obvious combinations.
If a particular logical relationship is specific to each of
the word-pair classes, then certain logical connectives
should be more appropriate for one class of pairs than
for another. From these considerations it was predicted
that Ss would be able consistently to assign preferential
rankings to the English equivalents of the connectives
regarding their appropriateness for each of the seven
classes. These rankings permit the calculation of a
behaviorally defined "appropriateness" value for each
connective for each class. Given this information,
material could be constructed for a compound response
paired-associate (PA) learning task to test the hypothesis that Ss would make more correct anticipations
when the connective coupling the response to the stimPsychon. Sci., 1964, VoL 1.
ulus word was logically appropriate for the wordpair class to which the stimulus and response words
belong than when it is logically inappropriate. Support
for this hypothesis would suggest the possibility of developing a logical model which would clarify the nature
of the associative relationship between fundamental
linguistic units in terms of the logical relationships
formally defined in the propositional calculus.
Metbod
The experiment was conducted in two phases. In
Phase I 45 Ss were presented with a completion test
composed of 110 stimulus-response word pairs from the
Minnesota norms (Russell & Jenkins, 1954) withablank
space between each pair. Ss were instructed to fill
in the blank with the connective word that best suited
each pair of words. A pool of logical connectives was
presented at the top of each page: and, then, not, if,
and 0 r. A typical pair might be "doctor __ nurse ,"
and a typical S might insert "or" in the blank. The
"logical appropriateness" of each connective was then
computed as the relative frequency (expressed as a percentage) of that connective as chosen by the 45 Ss for
each class of word pairs. This measure ranged from 78%
for the connective "and" in the coordinates class to
.2% for "if" in the noun-opposite class of word pairs.
The normative data were used in Phase II. Twenty Ss
learned a 32-item PA list composed of eight items in
each of four categories. Some sample items are presented in Table 1. Notice that the stimulus is one word,
while the response is composed of a connective and a
word. These response units were constructed so that
half the words had a high associative relationship to
the stimulus and half a low associative relationship. The
mean association strength for the 16 high units was
552.3 and for the low units it was 63.3. Half of the pairs
contained a highly appropriate connective and half a low
appropriateness connective. As described above appropriateness can vary on a scale from 0 to 100. The
Table 1. Some Sample Pairs of the Types Used in the PairedAssociate Learning List
Appropriateness
Association Strength
Stimulus
Response
High
cheese
black
and crackers
or white
Low
blue
sleep
if sky
then dream
High
boy
if girl
scissors not cut
Low
house
sweet
Higb
Low
or white
not taste
297
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A- APPROPRIATENESS
1
5 - ASSOCIATION
1- 1
3-4
TRIALS
5-6
STRINGTH
1- 8
Fig. 1. Mean correct anticipations of the logical
connectives.
average for the high pairs was 43.2 and for the low pairs
4.2. Since appropriateness is a function of the wordform class membership of the stimulus and response
words, as much ambiguity as possible was avoided by
choosing only stimulus and response words which were
strong members of a particular form-class.
Three randomizations of the pairs were presented for
one practice and eight anticipation trials, using a
Lafayette memory drum. Standard paired-associate
learning instructions were modified for compound
responses.
Results and Discussion
Each S was scored for the number of correct connectives and for the number of correct response words by
type of pair on each of the eight anticipation trials. The
mean performance on the connectives for all 20 Ss is
plotted in two-trial blocks in Fig. 1.
Inspection of the figure indicates that appropriateness
is a significant effect. This is substantiated by the
results of an A (4 types of pairs) X B (trials) X S (20 Ss)
analysis of variance. Type of Pair is a Significant main
effect (F, 20.21; df, 3/57; P < .001). The trials effect
is significant (F, 79.94; df, 7/133; P < .001); and the
interaction of trials by type of pair is significant
(F, 3.49; df, 21/399; P < .001). The latter indicates
that the four types of pairs were learned at different
rates.
Multiple comparisons among the four types of pairs
showed that high and low appropriateness connectives
were significantly different(F, 47.80; df,l/57; P < .001).
The combined high association strength pairs did not
differ from low association strength pairs (F « 1;
df, 1/57). The interaction of association strength and
logical appropriateness is Significant (F ,12. 79; df,l/57;
p < .001). Examinationofthe cur (...truncated)