Here's a quick outline with links that should hopefully get you up to speed for the material in this course (originally posted, 8/25/06):
A. Theory
B. Hypotheses
- Independent and Dependent Variables
C. Operationalization and Measurement
D. Testing (case studies versus quantitative methods)
- Correlation (also here) and types of relationships (negative, positive, no relationship, and spurious relationship)
E. Other issues:
1.) Because we don’t always have a random sample, there will usually be a problem of selection bias
2.) Many issues we will deal with also will have complicated causal logics, even perhaps including some endogeneity
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