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The
EO in OBM
Richard W. Malott
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Solutions
in Search of Problems vs. Problems in Search of Solutions
There are two, not necessarily exhaustive, approaches to using science
and technology to solve real-world problems. The one Olson et al recommend
is the solution-in-search-of-a-problem approach. In other words, analyses
of EOs seems to be helpful in reducing dysfunctional behavior of clients
who are non-verbal; so Olson, et al, propose that we search problems
solvable by analyses of the EOs among those problems involving the
increasing of functional behavior of clients who are verbal.
This solution-in-search-of-a-problem approach has become so prominent
that it may now dominate behavior analysis (e.g., behavioral momentum,
the probability matching law, functional analysis, the EO, itself,
and from an earlier era, schedules of reinforcement). Of course, the
solution-in-search-of-a-problem is a reasonable, valuable approach;
but it has at least two drawbacks. First, behavior analysts become
so enamored with the currently fashionable solution, that they force
fit the solution in a nearly rote, unthinking manner, with little
concern for the appropriateness of that fit (like the little boy with
a new hammer who must hammer everything in sight, whether it is hammerable
or not).
There might be fewer strained fits, if the those behavior analysts
followed the recommendation of Olson et al and based their science
and technology on a sophisticate interest in underlying behavioral
mechanisms. Much, though not all, of the inappropriateness of these
forced fits is again due to simplistic extrapolations from Skinner-box
research with non-verbal rats and pigeons; these extrapolations are
to complex, language-based, human contexts.
My criticism of these extrapolations is not to suggest that there
isn’t a little rat in all of us, not to suggest that basic,
Skinner-box research is irrelevant to our understanding of complex,
human behavior. However, to find the relevance, we must dig deeply
into the underlying behavioral processes, more deeply than most behavior
analysts usually go. So the first difficulty with the solution-in-search-of-a-problem
is that it may often result in inappropriate, forced solutions.
The second difficulty is that this approach has become so dominant,
at least in the research literature, that it may be driving out the
problem-in-search-of-a-solution approach. For example, researchers
who are successful publishers often explicitly ensure that they are
doing research on solutions currently fashionable in their targeted
journals. And researchers who are unsuccessful publishers often complain
that their manuscripts are being rejected because they are not using
fashionable solutions. (Of course, this applies to fashionable problems
to be solved, as well as fashionable solutions.) And while it is,
no doubt, valuable for individual researchers to carry out thematic
research, it may be harmful for an entire discipline to do so. (Incidentally,
the Journal of the Experimental Analysis of Behavior’s publication
of Michael’s original EO article [1982], itself, illustrates
that that fashion can be bucked, as does that article’s gradually
but steadily growing number of citations in the Journal of Applied
Behavior Analysis [see Iwata, Smith, & Michael, 2000].)
I have some concern about both of these difficulties with regard to
the proposal of Olson et al; they propose that we look for OBM problems
that can be solved by manipulating the EO. First, in my opinion, the
authors had to strain considerably to find OBM examples that EO manipulations
might possibly solve. This suggests that, to avoid inappropriate,
forced fits, those who follow the EO-solutions strategy in OBM will
have to do so with considerable more theoretical sophistication than
has been evidenced in most empirical OBM articles.
The second difficulty is that this EO-solution strategy may have the
potential to dominate OBM research to the extent that it suppresses
other solutions to OBM problems. Fortunately, the empirical work in
OBM seems to be less driven by fashionable solutions than is the case
in the general field of applied behavior analysis (ABA). However,
the theoretical OBM articles do tend to sail in on the breeze of fashion,
as the article by Olson et al would indicate, not that this is always
bad, especially if such articles are accompanied by a critical, theoretical
intelligence, as is the case with that article.
There is another potential problem related to this second fashionable-solutions
difficulty: The EO-solution strategy may also tend to suppress work
on problems not readily solved by EO manipulations, a problem of narrowness
that may be occurring in the published literature in the general field
of ABA. This could be especially unfortunate, if it turns out that
the sort of problems EO manipulations can solve do not account for
the majority of the problems in OBM, as, in deed, the examples of
Olson et al seem to suggest.
None of this means it might not be of value for some researchers in
OBM to aggressively purse the EO as a fundamental cause of some OBM
problems and to purse the manipulation of the EO as a solution to
those problems. It is only to suggest that, in modeling after the
general field of ABA by exploring the importance of the EO, we should
not make the more general mistake of the researchers and editors in
general ABA, the mistake of becoming too fashion conscious.
There is another interesting issue related to the strategy of solutions
in search of problems. It is the concept in search of examples. Lindsley
referred to this as the problem of the conceptual zoo (Lindsley, 1977).
We can build a framework or matrix of concepts that might more or
less exhaustively describe a domain. Then we send explorers out to
find animals to fill each of the cages of our zoo, to find examples
to fill each of the cells of our matrix or framework, examples to
illustrate each concept. But we may discover that creatures do not
exist in nature to fill each of the cages of our zoo, in other words,
that examples do not exist in nature to fill each of the cells in
our framework, to illustrate each of our concepts. For instance, outside
the laboratory or the explicit behavior-modification setting, my explorers
and I have failed to discover realistic example of traditional shaping
(fixed-outcome shaping) or differential reinforcement of other behavior,
though these procedures are common and useful in ABA research and
application efforts.
Similarly, we should remain sensitive to the possibility that, though
the EO is an important, fundamental concept in behavior analysis and
in general ABA, we might discover few significant instances where
knowledge of the relevant EOs will give us nontrivial insights into
the nature of the world of OBM and few instance where it will allow
us to manage performance better in that world. Olson et al seem sensitive
to the possibility that the EO/OBM cage might remain fairly barren;
I hope that other conceptual explorers maintain that sensitivity.
But, in any case, the only way to know the fate of the EO/OBM cage
is to send out a few exploring parties. (Incidentally, Lindsley also
suggested that our conceptual zoos should not blind us to the possibility
that we might discover in the real world important behavioral phenomena
for which we have not prepared a cage.)
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