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What are 4 goals of comparison?
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- contextual description
- classification - hypothesis-testing - prediction |
What are the 2 levels of analysis?
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- mico-political: focus on political activity of individuals
- macro-political: focus on groups of individuals, structures of power, social classes |
What are the 3 types of qualitative methods?
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- macro-historical comparison
- in-depth interviews and participant observation - interpretivism/hermeneutics/"thick description" |
What is the level of abstraction?
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- the higher the level of abstraction, the more potential there is for the inclusion of a large number of countries in the study.
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What are large-n and small-n comparisons?
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- large-n: comparing many countries
- small-n: few countries |
What are the aspects of comparing many countries?
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- quantitative analysis of aggregate data collected on different measures that vary across many countries
- higher level of abstraction |
What are the advantages of comparing many countries?
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- researcher can use statistical controls to rule out rival explanations
- extensive coverage of countries over time & space - strong inferences that hold for many cases - ability to identify "outliers" |
What are the disadvantages of comparing many countries?
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- limited availability of data for many countries & time periods
- validity of measurements - mathematical & computing skills needed |
What are the main aspects of comparing few countries?
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- between 2 and 20 countries are being compared
- intentional selection of countries from the universe of possible cases - middle level of conceptual abstraction - more intensive, less extensive |
Under what conditions is a single-country study comparative?
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- if it uses concepts that are applicable to other countries and/or seeks to make larger inferences that stretch beyond the single country used in the study
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What is the major drawback of single-country studies?
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- inferences from single-country studies are necessarily less secure than those made from few or many country studies
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What is the small-n problem?
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- problem of too many variables, not enough cases
- if a study has too many unknowns, solving for the unknown becomes problematic - the number of variables must be less than the number of countries being studied |
What are 3 solutions to the small-n problem?
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1) raise number of observations to allow the key factors of the study greater overall variation
---> adding countries/historical analysis 2) MSSD 3) MDSD |
What are the 3 main positions on establishing equivalence?
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- universalist position: if theoretical concepts and their indicators are to have any explanatory power, they must be able to travel to all parts of the globe
- relativist position: all meaning is locally determined. A general "science" of comparative politics is necessarily limited if not impossible. - middle position: comparativists must not abandon all their concepts, but should modify them to be sensitive to cutural specificities of the contexts they are studying |
What are solutions to the problem of establishing equivalence?
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- raising level of abstraction
- focusing on smaller numbers of countries for which the comparativist has thorough, substantive knowledge - identification of functional equivalence of concepts and indicators (if 2 entities share the same function, they are functionally equivalent) |