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The smallest number of steps in Rule Applying problems is equal to one.
This implies two states: the initial state and the end state.
In the case of this type of problems, usually,
the subject's task simply is to apply the rule and to check whether
a correct end state is obtained or not. Well-known examples are:
- Three Dimensional Space, GATB
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- Tool Matching, GATB
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- Form Matching, GATB
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- Figuren Aanvullen, PMA
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- Gedraaide Figuren, PMA
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GATB is an abbreviation for the General Aptitude Test Battery,
form B-1002 (United States of Labor, 1962) and PMA is an abbreviation
for the Primary Mental Abilities (Thurstone, 1938). The tests 17-29,
which were used by Thurstone (1938) in his search for the
primary mental abilities also belong to this type of problems.
The question arises why Single Step problems can be difficult.
The above mentioned tests all require the manipulation of objects in
in imaginitive or virtual space. These tests become extremely easy
when the problems are presented in such a way, that manipulation in
physical space would be possible. For example, in the case of the test
Three-dimensional Space, one could offer the unfolded figures as
physical objects, using paper or cardboard, and allow the subject to
fold the figures physically along the dotted lines. In the case of the
Form Matching and Tool Matching one could copy the figures into separate
physical objects, using plastic or some other kind of solid material,
and allow the subject to match the figures physically. In the case of
test Figuren Aanvullen from the PMA one could copy the figure parts
into separate physical objects, and allow the subject to lay the
figure parts against each other physicallly. Similar methods
can be used in the case of the other tests.
One may expect that, when these tests are administered in this way,
even nursery school children are able to solve the test items involved.
In the actual tests, the manipulation of objects in real space is not
allowed. The solution can only be found by manipulation in virtual space.
What is needed in order to respond to the items could be described
as spatial visualization. However, that is not necessarily, what is
measured by the test. If sufficient time is given, and if the subjects
are allowed to practice before the actual administration of the test,
then these problems can always be solved. Under the latter circumstances
spatial visualization is still needed, but certainly not
measured.
The problem with these kind of tasks can be desribed as follows. It is
quite clear what should be done, it is not quite clear how it should be
done. Especially, in the beginning of the test the subject might feel
quite uncomfortable not knowing how to apply the rule or what kind
of strategy to use. As is always the case with rule applying problems,
he must know that the only way to find the correct answer is simply to
start and to persist. The only way to get used to the task is to look
for possible strategies, which, after some practice, can be performed
in an automatic way. Naturally, it will take some time before a certain
stage of practice is attained. However, when the task is
overlearned, applying the rule does not seems very difficult anymore.
Whether a rule is difficult to apply is a matter of being familiar
with the rule or not. Familiarity may be already be obtained in the past.
In that case the task will be experienced as easy. When familiarity must
be obtained during the test, then the task will be experienced as
difficult.
In the actual tests only the number of correct answers is registered.
That is no information is obtained about the process of learning, which
is unavoidable in order to get a satifactory test score (see also further
down).
The number of possible initial states may be more then one and part
of the problem may be, to think up all possible initial sates.
A typical example is the Match Problems Test. This test was originally
proposed by Wilson, et al. (1954) and consisted of 12 items.
Examples are given in Guilford (1967,
p. 153). Most items are composed of collections of adjacent squares
with each side representing a removable matchstick.
The problem is to remove a given number of matchsticks,
leaving a certain amount of complete squares and no excess lines.
The initial state consists of the intact collection of adjecent squares
and the end state consist of the collection of adjecent squares with
a cerain number of matchsticks removed. The subjects has to check how
many squares have been left and whether this number is equal to the
number which was asked for. This has repeatedly to be done for all
possible collections with the required number of matchsticks removed.
The latter is a combinatorial problem. When the subject is not familiar
with combinatorics, he may easily overlook some of the possibilities.
However, this is a matter of experience and patience, and not of any
ability, whatsoever.
Sometimes the solution requires the unusual resort to a square of
larger-than-normal size. A later version (see
Berger et al., 1957) included problems each of which could be solved
in four different ways. In another version, which was also proposed by
Berger et al. (1957), the multiple-solution principle was used again,
but problems were also emphasized that could have unusual solultions,
with final squares of different sizes, one within another, and
overlapping each other.
Functional Fixedness might play a role here. For example, the subject
could think that only squares of normal size (consisting of four
matchsticks) are allowed. But, again, this is not a matter of some
quantitative ability, but a matter of idea. The most important reason
for the emergence of functional fixedness
might be test instruction. It is not explicitly mentioned
in the instruction, that squares of larger-than-normal size should
be taken into account. In that case one should not be surprised when the
subjects disregards these possibilities. In this respect it might be
worthwhile to mention a well-known riddle, in which one has to build
four equilateral triangles, each triangle made up by three matchsticks,
by using six matchsticks. In trying to solve this riddle, subjects
implicitly assume that the solution should be given in a two-dimensional
space. Naturally, they conclude that there is no solution.
Next: Rule Finding Problems
Up: Rule Applying Problems
Previous: Sequentially Ordered Steps: Multiple
Maarten Joosen
Tue Jun 3 10:36:13 MDT 1997