Political Science 101 POLS: Comparative Politics - Comparative Method Most Similar Systems Design Most Different Systems Design Case Studies LargeN Studies

1. What This Is & Why It Matters

The Comparative Method is a research approach in political science that involves comparing different political systems, institutions, or policies to identify patterns, similarities, and differences. This method is central to understanding the complexities of governance, as it allows researchers to test hypotheses, identify causal relationships, and develop generalizable theories. Without a solid grasp of the Comparative Method, you can't explain why some democracies collapse, why authoritarian regimes persist, or why certain policies succeed in one context but fail in another.

Consider the example of the COVID-19 pandemic. In 2020, the United States and South Korea faced similar challenges in responding to the outbreak. However, their approaches differed significantly. South Korea implemented a robust contact-tracing system, while the United States relied on a patchwork of state and local responses. By comparing these two cases, researchers can identify the factors that contributed to South Korea's success and the United States' struggles, shedding light on the role of institutions, policies, and leadership in shaping public health outcomes.

2. Essential Thinkers, Concepts & Models

• Most Similar Systems Design: A research approach that compares two or more cases that are similar in most respects, except for the variable of interest. This design helps researchers isolate the effect of the variable on the outcome.
  • Definition: A research design that controls for extraneous variables by selecting cases with similar characteristics.
  • Why it's still relevant: This design is still widely used in comparative politics, as it allows researchers to test hypotheses and identify causal relationships.
• Most Different Systems Design: A research approach that compares two or more cases that are dissimilar in most respects, except for the variable of interest. This design helps researchers identify the factors that contribute to the outcome.
  • Definition: A research design that takes advantage of differences between cases to identify the factors that contribute to the outcome.
  • Why it's still relevant: This design is useful for identifying the factors that contribute to the success or failure of a policy or institution.
• Case Studies: In-depth examinations of a single case or a small number of cases to gain a deeper understanding of the research question.
  • Definition: A research approach that involves an in-depth examination of a single case or a small number of cases.
  • Why it's still relevant: Case studies are still widely used in comparative politics, as they provide a nuanced understanding of the research question.
• Large-N Studies: Research approaches that involve a large number of cases to identify patterns and relationships.
  • Definition: A research approach that involves a large number of cases to identify patterns and relationships.
  • Why it's still relevant: Large-N studies are still widely used in comparative politics, as they provide a broad understanding of the research question.
• Alexander George: A political scientist who developed the Most Different Systems Design.
  • Definition: A research design that takes advantage of differences between cases to identify the factors that contribute to the outcome.
  • Why it's still relevant: George's design is still widely used in comparative politics, as it allows researchers to identify the factors that contribute to the success or failure of a policy or institution.
• Gary King: A political scientist who developed the Most Similar Systems Design.
  • Definition: A research design that controls for extraneous variables by selecting cases with similar characteristics.
  • Why it's still relevant: King's design is still widely used in comparative politics, as it allows researchers to test hypotheses and identify causal relationships.
• David Collier: A political scientist who developed the concept of "most similar systems design."
  • Definition: A research design that controls for extraneous variables by selecting cases with similar characteristics.
  • Why it's still relevant: Collier's concept is still widely used in comparative politics, as it allows researchers to test hypotheses and identify causal relationships.

3. Step-by-Step 'Political Analysis'

1. Define the research question: Clearly articulate the research question or hypothesis to be tested.
2. Select the cases: Choose the cases to be compared, taking into account the research design and the variable of interest.
3. Gather data: Collect data on the cases, using a variety of sources, including primary and secondary research.
4. Compare the cases: Compare the cases, using a variety of methods, including statistical analysis and qualitative analysis.
5. Test the hypothesis: Test the hypothesis or research question, using a variety of methods, including statistical analysis and qualitative analysis.
6. Draw conclusions: Draw conclusions based on the analysis, taking into account the limitations of the research design and the data.

4. Common Student Mistakes

• Misconception: Comparing cases that are too similar or too dissimilar.
  • The right view: Select cases that are similar in most respects, except for the variable of interest (Most Similar Systems Design) or cases that are dissimilar in most respects, except for the variable of interest (Most Different Systems Design).
• Misconception: Failing to control for extraneous variables.
  • The right view: Use a research design that controls for extraneous variables, such as the Most Similar Systems Design.
• Misconception: Failing to test the hypothesis or research question.
  • The right view: Test the hypothesis or research question using a variety of methods, including statistical analysis and qualitative analysis.
• Misconception: Failing to draw conclusions based on the analysis.
  • The right view: Draw conclusions based on the analysis, taking into account the limitations of the research design and the data.

5. Exam/Essay Tips

• Multiple-Choice Questions: Be able to identify the research design used in a given scenario, such as the Most Similar Systems Design or the Most Different Systems Design.
• Free-Response Questions: Be able to explain the advantages and disadvantages of different research designs, such as the Most Similar Systems Design and the Most Different Systems Design.
• Trap Distinctions: Be able to distinguish between different research designs, such as the Most Similar Systems Design and the Most Different Systems Design.
• Integrating the Topic into an Argumentative Essay: Be able to use the Comparative Method to support an argumentative essay, such as comparing the effectiveness of different policies or institutions.

6. Quick Practice Scenario

Scenario: A researcher wants to compare the effectiveness of different policies in reducing poverty in developing countries. The researcher selects two cases, one in which the policy was implemented in a country with a strong tradition of social welfare programs and another in which the policy was implemented in a country with a weak tradition of social welfare programs.

Question: Which research design is most appropriate for this scenario?

Answer: Most Different Systems Design, as the two cases are dissimilar in most respects, except for the variable of interest (the policy).

Justification: This design is most appropriate because it takes advantage of the differences between the two cases to identify the factors that contribute to the outcome (reducing poverty).

7. Last-Minute Cram Sheet

• Most Similar Systems Design: A research design that controls for extraneous variables by selecting cases with similar characteristics.
• Most Different Systems Design: A research design that takes advantage of differences between cases to identify the factors that contribute to the outcome.
• Case Studies: In-depth examinations of a single case or a small number of cases to gain a deeper understanding of the research question.
• Large-N Studies: Research approaches that involve a large number of cases to identify patterns and relationships.
• Alexander George: Developed the Most Different Systems Design.
• Gary King: Developed the Most Similar Systems Design.
• David Collier: Developed the concept of "most similar systems design."
• "Separate but equal" was overturned by Brown v. Board – Plessy v. Ferguson was the earlier, racist ruling.
• Most Similar Systems Design is used to test hypotheses, while Most Different Systems Design is used to identify causal relationships.

8. Further Study Resources

• American Government: Stories of a Nation by David M. Kennedy, Lizabeth Cohen, and Thomas A. Bailey
• Khan Academy Unit on Comparative Politics
• Crash Course Government YouTube channel
• Comparative Politics textbook by David Collier and Steven Levitsky