Structure Diagrams
and Arguments in Ordinary Language
One way in which to be
sure that you understand the meaning of an argument, and at the same time
determine the quality of the inferences informing it, is to construct a
structure diagram for it, showing its internal structure and indicating clearly
the propositions and inferences that constitute it. Structure diagrams are to be combined with what you already know
about the three criteria of cogent reasoning (relevance, strength and truth). The structure diagram will more easily and
readily allow you to make determinations about the quality of the argument.
There are three conditions that an argument must meet to be considered worthy of your acceptance. First, the premises must be relevant to the conclusion. Second, there must be enough information to warrant the conclusion. Third, the information presented in the premises must be true, unambiguous, and warranted.
The relevance
requirement is truly simple to understand.
For an argument to have merit, the information offered in support of a
conclusion must be relevant to the conclusion.
The determination of relevance will be based primarily on your general
experience and background knowledge.
This might even be called your "world view." In an argument discussing the funding of sex
education in elementary schools, it is probably irrelevant to point out in
support of such an academic endeavor that your grandmother always said that it
was good to discuss those issues with children. The issue at hand is funding, and though your grandmother may be
right, it is irrelevant to a consideration of how much money is to be spent on
it. Your grandmother's opinion could be
relevant if the issue was whether sex education should be part of the
curriculum in an elementary school, but even then it is questionable that her
opinion (unless she is an expert on this issue) should count heavily in any
such determination.
The strength
requirement refers to the amount of information that is present in the
premises that purport to provide support for the conclusion. If, for example, you are attempting to
determine whether to take your car to a neighborhood mechanic to be repaired
(and you have never met him before, nor has he worked on your car), asking
friends, relatives, or co-workers about his qualifications as a mechanic could
certainly be useful. But suppose that
you ask a friend at work who tells you that the mechanic failed to fix his
transmission, that he charged an outrageous amount of money simply to find out
the nature of the problem with the car, and that he is unreliable. Is this enough information to make a
decision concerning the acceptability of this mechanic to perform repairs to
your car? Probably not. One person's opinion may be an accurate
representation of the nature of things, but it could be that the person you
asked has a 1971 Pinto, the mechanic charged $50.00 to remove the transmission,
and informed your friend that the car wasn't really worth spending $500.00 on
for a new transmission. If you had that
background information, you would know that a 1971 Pinto was junk anyway, that
$50.00 to remove an entire transmission is exceedingly inexpensive, and that
the mechanic was not being unreliable; he was simply stating that he did not
think that it would be worth the money to fix a car that wasn't worth the
amount of money it would cost to fix it.
Add to this example,
however, that you ask your brother who had his car repaired by that mechanic,
you call the Better Business Bureau, the local chamber of commerce, and know 5
other people who have had their cars repaired by the mechanic in question. You find that the BBB has unfavorable
reports about the mechanic, the chamber of commerce does not have him listed as
a licensed mechanic in the city in which you live, and the other 5 people you
asked about the quality of his work were dissatisfied with his services for a
variety of reasons. With the weight of
that evidence, you may be better off looking for a different mechanic.
Taking a different look
at the mechanic example, suppose that the five people you ask about the quality
of his work point out that he has a wife and 8 children to feed, he goes to
church every Sunday, and his mother and father were recently killed in a plane
crash. They suggest on the basis of
this information that you hire him to repair your car. Those facts about his life are completely
irrelevant to the quality of his work as a mechanic in general, and no matter
how many people you ask about him, if this is all the information they give
you, you will not benefit by having more instances of it. It is always inappropriate to ask for more
irrelevant information.
Through the extensions
of this example, it ought to be clear that the relevance requirement always
takes precedence over the strength (amount of information) requirement. But further, these two requirements always
take precedence over the "truth" requirement. The reason for this is complicated, but can
be expressed clearly enough in the following examples.
Suppose that you are
considering a mechanic (we'll use that example again for ease in explanation)
to repair your car. You ask 5 people
about the quality of his work, and they tell you that if you take your car to him,
a quality job will be done. Assuming
that you have faith in the opinions of the people you asked, and that the
information they provide to you is relevant to a consideration of the expertise
of the mechanic in question, and also assuming that 5 people are a sufficient
number to ask in order to determine whether you ought to take your car to that
mechanic, what else is to be considered?
What do your friends
mean by the claim "a quality job will be done"? How did they say that? What tone was in their voices when they made
that claim? Were they sarcastic? Were they sincere? Did they tell you what they meant by "quality"? Isn't that term unclear in itself? A Pinto owner might consider a quality job
one that simply keeps the car running.
A Jaguar owner might consider a quality job one that preserves the value
of the car, and makes it run the way it did when it came off the showroom
floor.
Assuming that your
friends were not being snide and sarcastic when they told you he would do a
quality job, and assuming that a quality job is what you are seeking, you have
relevant and (probably) sufficient information to make a determination. But the truth requirement is much more
difficult to satisfy. Sometimes it is
not possible to research a claim completely to verify the truth of the claims
that are made in support of a conclusion.
There are cases in which a claim may be vague or ambiguous. There are cases in which the information
provided in support of a claim is simply false. But no one can be expected to research every piece of information
that is presented to him in every single decision to be made. It might be appropriate to expect such
research to be done when deciding which candidate will receive your vote in the
next election, but a simple decision probably does not require that much
research or even that much care. This
is not to imply that the decision concerning who will fix your car is not
important, but there are usually more pressing concerns of the day. It would probably be a waste of your time to
call the BBB, the chamber of commerce, and all of the people for whom the
mechanic has repaired cars in order to make your decision. Ask a few people, find out what they mean by
"quality", and decide what you will do.
Practical reasoning is
exactly what it sounds like. It is for
practical use. And even though it is
probably not the case that you will ever be asked to provide a structure
diagram of an editorial in the newspaper, the ability to analyze the structure
of an argument can keep you more fully informed and more critical of claims
that are made.
Arguments can be made
to "sound good" even when they have very little merit. Chapter 11 of Chaffee’s text (and Flew’s How to Think Straight) is filled with
informal fallacies. Some of them can be
quite convincing. That is, they can
make you change your mind, they can make you perform an action based on a
decision. For example, the fallacious
form of argumentation known as argumentum ad baculum is very convincing. If someone tells you that you could find
yourself in an uncomfortable situation unless you pay protection money, you
might feel compelled to pay the money.
But the fact that someone can make you act does not imply that the
reasoning used in order to do it was "good." Obviously, it worked. But the fact that someone can make you do
something, or make a decision, does not make that person right. Most people, I think, will look at an
example like this and claim that they would never be taken in by such a
claim. Maybe not. But the point is that someone may think that
might makes right. And only an
awareness of the fallacious nature of such reasoning can make it clear to such
a person that it does not "make
right." Consider this. People tell their children that they must be
good because Santa Claus will bring them nothing for Christmas if they don't. This is an argument, believe it or not.
Structure
Diagrams
The structure of the
argument can be represented in the following way. Take each claim that is made in the reasoning, number the
propositions, and place the conclusion under the premise(s).
1. Santa Claus will
bring you nothing for Christmas if you do not behave.
2. \You must be good.
The structure of the argument
is given below.
(1)
¯
(2)
The premise is proposition 1.
The conclusion is proposition 2.
The structure type is a "serial inference." A serial inference is one in which a
conclusion follows directly from one premise (or from a series of premises and
intermediate conclusions).
(I think it is obvious
that you really don't need a structure diagram for such a simple argument, and
you can see the problem in the reasoning without it. It may be that children ought to be good even if they don't get
presents. (If this were a good
argument, wouldn't it apply to Buddhist children, children in China, and Jewish
children, who may not celebrate the holiday associated with the fictional
figure used as a "club" for a reason?) The point here is simply to
illustrate how structure diagrams are constructed.)
The inference is the
"move" from (1) to (2). An
inference is a psychological process in which a reason is offered and a
conclusion is made on the basis of it.
That is not something that an argument does; it is, instead, something
that people do. Thus, even though an
inference is a part of an argument, making inferences is the intellectual
process by which conclusions are drawn.
Steps in Argument Diagram Construction
1. The
first step in the construction of a structure diagram is to determine the main
conclusion (MC). The MC is, by
definition, the final point in the argument; it is the point at issue, the
statement that someone is attempting to verify through the use of other claims.
2. The
second step is to determine the function of the other statements informing the
argument. There are two
considerations. First, some statements
are basic premises (BP). Others are
intermediate conclusions (IC). A basic
premise is, by definition, unsupported.
It is a statement assumed to be true.
It is the point at which an argument begins. An intermediate conclusion is both a premise and a conclusion at
the same time. An intermediate
conclusion is a claim made on the basis of at least one other (either a BP or
an IC [or both, in rare instances]), which leads either to another IC or the
MC.
3. The third step is to identify the inferences
in the argument. Inferences are the
intellectual "moves" between premise(s) and conclusion(s). They are the parts of the argument that can
be fallacious. Statements can be either
true or false, they can be questionable or ambiguous or vague, but statements
are never the subject of fallacies of reasoning. Only inferences can involve fallacies.
4. The
fourth step is to consider the three criteria of cogent reasoning and
determine, for each inference, the quality of that inference.
5. The fifth step is
to determine the quality of the argument as a whole, including consideration of
the quality of the individual inferences, and whether the claims made in the
argument are true or unambiguous, whether they need support, or whether they
are simply false.
1. Serial Inference. This is an inference in which
a single reason is given in support of a conclusion or conclusions. Its general format is such that a BP leads
to an MC, or a BP to an IC, or a BP to an IC to an MC.
2. Convergent Inference. This is an inference that is
actually a combination of two (or more) serial inferences. Its general format is such that, for
example, two BPs lead to the MC independently of each other.
3. Divergent Inference. A divergent inference is one
in which a reason leads to more than one conclusion. For example, one BP leads to two different ICs. This is, in fact, a case of there being two
separate inferences. It is, in essence,
the opposite of a convergent inference in form, but its analog in the sense
that in such an inference, there is a series of serial inferences united by a
common statement.
4. Dependent Premise Inference (Linked). This
is an inference form in which a conclusion is reached such that the premises
are not independent of each other, i.e., the conclusion would not follow
without the two (or more) pieces of information being considered one.
Serial
BP
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MC
Convergent
BP1 BP2
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MC
Divergent
BP
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MC1 MC2
Dependent Premise
BP1 + BP2
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MC
Combination (any
combination is possible)
BP
IC + BP
![]()
![]()
IC1 IC2
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MC
Adapted from Logic and Language: An Introduction to the
Methods of Analysis, © 1988-2003, Nancy A. Stanlick