5. Theories have empirical
implications
Assume the existence of a real world
Aim to increase understanding, not to
accomplish political, moral, or social ends
Have empirical implications
If X, then Y, where X and Y are
observables
6. Social theories
Explain social rather than individual
outcomes
We are interested in explaining the
behavior of social systems rather than of
individuals
8. Causal Relations
The outcome
The thing you are trying to explain
Also called
Dependent variable
Effect
9. Causal Relations, cont’d
The cause
A factor such that change in it is associated
with change in the outcome
Also called
Independent variable
10. Causal Relations, cont’d
So, X causes Y if by modifying X, one
can affect Y
An explanation includes an assertion of
such a causal relation
11. Causal Mechanisms
The link between the cause and the
outcome
In other words, the process through which
the cause leads to the outcome
We will say more about this later
12. How do we know which theory is
best?
Empirical evidence
Theories produce empirical predictions
about how change in a causal variable will
affect an outcome variable
These predictions are called hypotheses
13. Example: Durkheim’s theory of
suicide
The level of individualism in a group affects
the rate of suicide in the group
Individualism – a cause
The degree to which individual activities are
controlled by individuals themselves rather than
by others
Suicide rate – an outcome
Some countries/groups have a low rate; others a
relatively high one
14. Empirical implications
If Protestants are more individualistic than
Catholics
Then Protestants in France will have higher
suicide rates than Catholics in France
If unmarried men are more individualistic
than married men
Then unmarried men will have a higher rate of
suicide than married men
15. Empirical implications, cont’d
To determine whether the predictions
are supported by the data, we must pay
attention to three things:
Correlation
Causal Order
Spuriousness
17. Causal order
The cause must occur before the effect
It is possible to change the value of the
dependent variable by changing the causal
variable
In other words, if you change X, Y will
change
Cause Outcome
(x) (Y)
18. Non-spuriousness
To infer causality, all possible spurious
causes of Y (the dependent variable)
must be ruled out
That is, the researcher must determine
that a third variable is not responsible for
the observed relation between X and Y
19. Example: The Protestant Ethic
Max Weber noted that the initial geographic
distribution of European industrial capitalism
seemed correlated with the % of Protestants
in a country
Protestantism industrial capitalism
Possible spurious causes
Perhaps countries with large coal reserves tended
to be Protestant
If coal reserves industrial capitalism, then
Protestantism is a spurious relation
21. Assessing theories
If the theoretical predictions are
consistent with what we observe, then
we have more confidence in the theory
22. Caveats
Very few ‘classical theories’ live up to
these expectations
They do not always explicitly articulate
causal relations and causal mechanisms
Not many contemporary ones do, either
23. Theories are imperfect
Theories simplify reality
Theories must omit much, must
overemphasize much
Hence, all theories are imperfect
24. How to choose between rival
theories?
Ultimate criterion: empirical adequacy
The best theory is the one that is most
consistent with observable empirical
phenomena