CM 2: Approaches in political science, part 2

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Last updated 11:07 AM on 10/9/26
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57 Terms

1
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What are the steps of the scientific cycle?

Research question → empirical analysis → empirical test/falsification → scientific debate

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What does RQ → RD → RA stand for?

Research Question → Research Design → Research Answer

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What is a research question (RQ)?

What do I want to know?

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What is a research design (RD)?

The bridge between the question and the answer: how am I going to find out? (cases, data, variables, method)

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What is a research answer (RA)?

What did I find? What the evidence suggests.

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What is a theory?

A relationship between a cause and an effect (X → Y).

7
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In a theory, what are X and Y?

X = cause / explanatory factor. Y = effect / outcome. (ex. education investment increases GDP growth)

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What 3 qualities must a good research design produce?

Valid, reliable and generalizable results.

9
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What is validity?

Does the research really allow me to draw the conclusion I draw?

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What is reliability?

Does the method produce consistent, reproducible results?

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What is generalizability?

Can the result be extended to similar cases that were not studied?

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What is internal validity?

Are my conclusions correct for the cases I actually studied?

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What is external validity?

Can I generalize my findings to similar cases I did NOT study?

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What is the trade-off between many cases and few cases?

Many cases → stronger generalizability (external validity ↑) but less depth.

Few cases studied deeply → better understanding of mechanisms (internal validity) but less generalizable.

15
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Why are experiments harder in social sciences?

Controlled experiments are difficult, so we mainly use statistical methods, comparative methods and case studies.

16
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What is a case study design?

1 case + 1 point in time.

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What is a time series design?

1 case + many points in time.

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What is a closed universe design?

Few cases + few time intervals.

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What is a cross-section design?

Many cases + 1 point in time.

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What is a pooled analysis?

Many cases × many time intervals.

21
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What does "rising N" mean?

N = number of cases/observations.

Small N → richer detail, more qualitative. Large N → more statistical tests, more quantitative.

22
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What is the quantitative approach? (for the RQ)

Collecting and analysing numerical data using statistical methods.

23
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What are the 3 sources of quantitative data?

Surveys, observations (coding info numerically), secondary data (governments, international organizations, databases).

ex. is quality of life higher in democracies or autocracies ? (compare poli. regimes)

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What is a dependent variable (DV)?

What you want to explain: the outcome.

ex. why is inequality increasing ? (inequality, here, is what you want to explain)

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What is an independent variable (IV)?

The factor you think explains the outcome.

26
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In "Does education investment increase GDP growth?", what are the IV and DV?

IV = education investment. DV = GDP growth. (GDP growth DEPENDS ON the education investment)

27
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Why is correlation ≠ causation?

Two variables moving together doesn't mean X causes Y: a third variable Z may influence both.

28
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What are the 3 functions of comparison?

Describe, Control, Explain.

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What does comparison do when it DESCRIBES?

It shows similarities and differences (patterns, regularities). E.g. Tocqueville, Democracy in America.

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What does comparison do when it CONTROLS?

It holds some variables constant/eliminates them. E.g. Tunisia and Egypt 2011 (similar religion, colonial past, geography → why different outcomes?).

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What does comparison do when it EXPLAINS?

It builds/tests a theoretical explanation: WHY is there a difference? E.g. why is voter turnout lower in the US than in Canada?

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What is a case?

A comparable unit of observation.

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What are the macro, meso and micro levels of a case?

Macro = country. Meso = regional party / institution. Micro = individual.

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What is the difference between a case and a unit of observation?

Case = the broader unit studied (e.g. Belgium).

Unit of observation = the actual data points (e.g. individual voters in Belgium).

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In a data matrix, what are the rows and columns?

Variables = columns. Cases = rows.

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What is the aim of case study research?

Explaining causality in a single case: how does X produce Y?

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What is a necessary condition?

X must be present for Y to happen. Without X, no Y. But X alone doesn't guarantee Y.

E.g. oxygen for fire.

necessary = you need it, but that isn't necessarily enough

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What is a sufficient condition?

If X is present, Y will occur. But X isn't necessarily needed: other paths to Y may exist.

39
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What is the Most Different System Design (MDSD)?

Based on Mill's Method of agreement (1875). Different cases, similar outcomes.

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What is the Most Similar System Design (MSSD)?

Based on Mill's Method of difference (1875). Similar cases, different outcomes.

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What is the logic of MDSD?

Maximize differences between cases, assuming that factors that differ across cases are irrelevant to explain the similar outcome.

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What is the aim of MDSD? Give an example of MDSD.

Highlight a potential sufficient condition, removing all conditions that are not necessary.

Causes of revolution in Russia, France and China (Theda Skocpol).

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What is the logic of MSSD?

Select the most similar cases, assuming that factors common to the cases are irrelevant to explain the difference in outcome.

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What is the aim of MSSD? Give an example

Highlight a potential necessary condition, removing all conditions that are not sufficient.

Why did Tunisia and Egypt differ in their 2011 uprising outcome?

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Which Mill method corresponds to MDSD and which to MSSD?

Method of agreement = MDSD. Method of difference = MSSD.

46
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What is a causal mechanism?

A complex system of interactions between different parts that produce a result: X → M1 → M2 → ... → Y.

47
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What is the key question to ask about a causal mechanism?

WHO DOES WHAT? (which actors, which actions)

48
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Is a causal mechanism the same as an intervening variable?

No. A mechanism shows the process (who does what, leading to the next step), not just a statistical variable.

49
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What is narrative history?

A chain of events without causal mechanisms. Chronology = what happened, not how/why.

50
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What is conceptualization?

Going from theory to empirics: from an abstract concept to something observable in data.

51
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What is the conceptualization path?

Concept (ex. democracy) → Definition → Operational definition (how can I observe/ recognize democracy empirically? : presence of civil liberties) → Indicators (Freedom of association, freedom of organization, rule of law, protection of personal liberties) → Empirical observation.

52
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What is conceptual stretching?

Extending a concept (A → B) to more cases, at the risk of losing intension (precision).

53
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What is intension?

The precision of the meaning of a concept.

54
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What happens with more intension?

More precise definition → internal validity ↑, but comparative applicability ↓.

55
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What happens with more extension?

Applicable to more cases → external validity ↑, but risk of losing meaning.

56
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What is family resemblance?

A category defined by a network of overlapping similarities: members share some features, but not necessarily one single defining feature. E.g. fascism.

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What are radial categories?

ONE essential/core attribute + optional secondary attributes. Different secondary attributes → different sub-types. E.g. democracy.