Political science Study Guide

📖 Core Concepts Political Science – The empirical study of politics: institutions, behavior, policies, and power dynamics. Positive vs. Normative – Positive theses describe what is; normative theses prescribe what ought to be based on values. Behavioral Revolution – 1950s‑60s shift to systematic, scientific analysis of individual and group political behavior. New Institutionalism / Formal Modeling – Use of game theory and deductive models (borrowed from economics) to explain institutional outcomes (e.g., voting, congressional decisions). Methodological Pluralism – Acceptance of many methods (surveys, experiments, case studies, game theory, agent‑based modeling) as legitimate tools for political inquiry. Perestroika Movement (2000) – Call for methodological diversity and relevance to non‑academic audiences. 📌 Must Remember Political science = description & explanation of politics; political philosophy = evaluation & value judgment. Positive thesis = “how politics works”; normative thesis = “how politics should work.” Core measures of governance success: stability, justice, material wealth, peace, public health. Main empirical techniques: field experiments, surveys, case studies, process tracing, ethnography. Core formal tools: game theory, agent‑based models, equation‑based models, opinion‑dynamics models. 🔄 Key Processes Formulating a Positive Thesis Identify a political phenomenon → Gather empirical data → Explain causal mechanisms (no value judgment). Developing a Game‑Theoretic Model Define players → Specify strategies → Assign payoffs → Solve for equilibrium (e.g., Nash). Conducting a Survey Experiment Design treatment (information, framing) → Randomly assign participants → Measure outcome → Test causal effect. Process Tracing (Case Study) Select a pivotal event → Identify sequential steps → Link each step to theory → Infer causal chain. 🔍 Key Comparisons Political Science vs. Political Philosophy – Empirical description vs. normative evaluation. Positive Thesis vs. Normative Thesis – “What is” vs. “What ought to be.” Survey vs. Field Experiment – Observation of existing attitudes vs. manipulation of variables to infer causality. Game Theory vs. Agent‑Based Modeling – Strategic decision‑making with rational agents vs. simulation of many heterogeneous agents and emergent dynamics. ⚠️ Common Misunderstandings “Political science is just politics” – It is a scientific discipline using systematic methods, not merely opinion. “Positive = value‑free” – Positive research can still be biased if data/measurement are flawed; “value‑free” refers to the absence of normative prescriptions in the hypothesis. “Game theory only applies to economics” – It is a core formal tool for studying political institutions, voting, and conflict. 🧠 Mental Models / Intuition “The Lens Model” – Think of political science as a camera lens: one side (positive) captures the picture; the other side (normative) decides how the picture should be edited. “Strategic Interaction = Chess” – Each political actor chooses moves based on expectations of others’ moves; game theory formalizes this “chess‑like” reasoning. 🚩 Exceptions & Edge Cases Normative advice can be evidence‑based – A normative thesis may draw on positive findings to justify value‑laden recommendations. Methodological pluralism does not mean “any method works everywhere.” – Some questions (e.g., causal inference) still demand experimental or quasi‑experimental designs. 📍 When to Use Which Describing behavior → Use surveys, field experiments, process tracing. Analyzing strategic choices → Use game‑theoretic models or agent‑based simulations. Studying historical institutions → Use case studies, institutional analysis, historical comparative methods. Testing a causal claim with limited data → Prefer survey experiments over pure surveys. 👀 Patterns to Recognize “Power‑Allocation + Decision‑Making” → Appears in questions about institutional design and policy outcomes. “Stability vs. Justice” trade‑offs → Frequently used to evaluate government performance. “Positive description → Normative prescription” chain – Spot when a question moves from what is to what should be. 🗂️ Exam Traps Confusing “positive” with “objective.” A positive statement can still be based on biased data; the key is the absence of normative language. Choosing “game theory” for purely descriptive questions. If a question asks only for empirical trends, the correct tool is likely a survey or case study, not a formal model. Assuming all political science methods are quantitative. Qualitative methods (process tracing, ethnography) are equally valid and often required for institutional history questions. Mixing up “behavioral revolution” with “behaviorism in psychology.” The former refers to a methodological shift in political science, not a psychological theory.