Some Categories of Research |
||
|---|---|---|
| Empirical("Positive") | vs. | Normative |
| Inductive | vs. | Deductive |
| Quantitative | vs. | Qualitative |
| Time series | vs. | Cross-sectional |
| Basic | vs. | Applied |
[Examples from international relations "realism"]
Vocabulary, variables and concepts - what is important?
Military power and geographical location are very important;
economic relations less so; "Power" and "national interest" are concepts
Relationships between variables
"Nations seeks to maximize their power"
Explanation for why these relationships hold
"Humans are fundamentally evil and greedy, therefore nations will be so"
Historical archetypes which illustrate the operation of the theory and provide empirical support for it
Europe from 1815 to around 1900
Greek city-state system 400 BCE Formal analysis: Correlates of War Project
Identifies what is important in the world; provides a "filter" for information
Method of making predictions
Provides "missing values" when there is no information contradicting the theory; becomes "common sense"
Provides information on individual motivations Ñ what are they trying to achieve?
Normative theory answers issues of "should" and "ought"; positive theory only addresses "what is".
"There is nothing more practical than a good theory"
Multiple systematic statistical tests
Generalizations from world history
Reactions to recent events [Often a reaction to the failure of an earlier theory, for example WWI and WWII]
Individual experience
Logically consistent
Testable/falsifiable
Communicable and unambiguous
GeneralÑexplains more than one case
Parsimonious -- "Occam's Razor"
Interesting(!) -- why should we care?
1. Selection of the research problem. This also involves
a. doing the appropriate literature review
b. figuring out what is possible to study
2. Formal statement of hypothesis or more usually multiple hypotheses
3. Operationalization and measurement of the variables. Also see if the variables you need have already been measured
4. Decide on the sample of the units (this may be the entire population).
5. Collect the data
6. Analyze the data, usually statistically. At this point one usually does a lot of exploratory analysis to see what form of the hypothesis works best.
7. Interpret the results.
1. What is the audience? (frequently determined by the journal)
2. What is the question/thesis/hypothesis. What is the underlying theory?
3. What does the existing literature say (typically: it is confused)
4. What is the data set?
What is different about the data set compared to earlier studies? Is the data primary or secondary?Population (in time and space)
Unit of analysis
Variables
5. What is the statistical model?
crosstabulation
regression
logit
6. What are the results?
7. How do the results change our understanding of the theory?