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Sociology 498: Homelessness
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When social scientists gather evidence to test a causal hypothesis,
they need data that make a comparison.
- For survey research on homelessness (see
Rossi or the HUD report),
we want to compare homeless people with some group of non-homeless.
- Less often done, but probably better, we could also look among
the homeless and compare times when they weren't homeless versus
times when they were homeless.
- For research on cities,
we compare cities with high homelessness
with cities with low homelessness.
- For comparisons over time (see
Jencks), we compare years with higher homelessness
with years with low homelessness
To test a causal hypothesis, we look for some relationship between
homelessness and the supposed cause.
For example, if we want to test whether drug abuse is a cause of homelessness,
we might compare homeless people with the non-homeless to see if drug
abuse rates are higher among the homeless.
Or we might compare years over time to see if increases in homelessness are
associated with increases in drug abuse.
As we will see, it is hard enough to find good data to make these
comparisons. But collecting the data and finding a relationship
between homelessness and some possible cause, is only the first step.
We need to ask at least five other questions about the relationship
of homelessness to this possible cause:
- How big a relationship?
Are some causes more important, or more common, than others?
A related question is: Is the effect "statistically significant"?
This just asks whether the relationship found in the data is bigger than
what we might expect to find by chance.
- Does causality go in both directions?
e.g., homelessness aggravates mental illness so they are
associated in part because mental illness is a consequence of
homelessness and in part because mental illness may be a cause of
homelessness.
- Is there some third factor that causes both?
e.g., maybe family breakdown is related to homelessness
only because both family breakdown and homelessness increase with poverty
and it is poverty, not family breakdown that is a cause of homelessness:
| poverty | -> | family breakdown |
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| | |
| poverty | -> | homelessness |
- How are the causes linked together in causal chains?
e.g., mental illness -> joblessness -> homelessness
- Is it true at both the macro and micro levels?
e.g., mental illness may explain who becomes homeless,
but it may be less helpful in explaining why rates of
homelessness have changed over time or are higher in some cities than others.
| Last updated February 8, 2007 |
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