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Critique of Induction |
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Inductive
arguments can be divided into four kinds, depending on two factors. The
factors are...
(1) the sample - which can be either...
(a) simple (uncontrolled); or
(b) bifurcated (controlled)
(2) the nature of
the generalization - which can be either
(a) straight (to the population as a whole); or
(b) oblique (to other unobserved cases within the population).
These two factors create a grid with four
quadrants.
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Simple (uncontrolled) sample |
Bifurcated (controlled) sample |
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Straight generalization |
Uncontrolled studies that
generalize to an entire population.EXAMPLE:
Opinion polls
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Controlled studies that
generalize to an entire population.EXAMPLE:
Comparison studies
(e.g. comparing
women to men)
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Oblique generalization |
Arguments from observed
cases to unobserved cases.EXAMPLE:
Analogical arguments;
trend projections
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Controlled studies applied
to new individual cases.EXAMPLE:
Medical studies
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There are five
criteria by which Inductive arguments should be evaluated. However, only the
first three criteria apply to every sort of Inductive argument. The fourth
criterion applies only to oblique generalizations and the fifth criterion
applies only to arguments based on a bifurcated sample. |
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I. Sample Size The
larger the sample, the stronger the induction. For example, a study done on
100 subjects is generally stronger than a study done on only 10.
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II. Diversity of Sample
The more points of difference among the members of the sample, the stronger
the induction. For example, an opinion poll must include subjects with wide
variation in geography, age, race, religion, political affiliation, income,
etc.
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III. Decisiveness of the property
being observed The more clear and decisive the property appears in
the sample, the stronger the induction. Vice versa, being modest in our
statement of the conclusion can also strengthen the induction. For example,
claiming to have evidence of life on Mars is much more modest than claiming
to have evidence of intelligent
life.
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IV. Similarity of the sample to
the unobserved cases (Oblique generalizations only) The more points
of similarity, the stronger the induction. For example, to draw conclusions
about human anatomy (without actually dissecting a human), it would be
better to dissect a chimpanzee than a tree.
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V. Comparability of the
experimental group to the control group (Controlled samples only)
The more points of comparison, the stronger the induction. For example, in a
drug safety study, if the experimental group is made up of young women, the
control group must also be made up of young women, to ensure that age and
sex differences are not responsible for observed differences between the
groups.
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