The Practice of Political Scientists

William Gray
8 min read
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Study Guide Overview
This study guide covers the practice of political scientists, focusing on data analysis and comparison across six countries: UK, Russia, Iran, China, Mexico, and Nigeria. Key terms like empirical/normative data, correlation/causation, HDI, Gini Index, and GDP are explained. It also introduces resources like Freedom House, Transparency International, and the Failed States Index. Multiple-choice and free-response question examples, focusing on data interpretation and country-specific knowledge, are provided.
#AP Comparative Government Study Guide 🚀
Hey there, future AP Gov rockstar! Let's get you prepped for this exam. This guide is designed to be your go-to resource, especially the night before the big day. We'll break down complex topics, highlight key points, and make sure you feel confident and ready to crush it! 💪
#Unit 1: The Practice of Political Scientists
So, you're into data? Awesome! This unit is all about how political scientists gather and use data to understand political behavior. Think of yourself as a detective 🕵️♀️, using evidence to solve political mysteries. You'll need to apply these skills to our six course countries: the UK 🇬🇧, Russia 🇷🇺, Iran 🇮🇷, China 🇨🇳, Mexico 🇲🇽, and Nigeria 🇳🇬.
Remember, you'll need to:
- Describe the structure, function, and political systems of these countries.
- Analyze data from charts, graphs, and real-life examples.
- Compare the countries and explain the reasons for similarities and differences.
#Topic 1.1: Essential Terms
Vocabulary is your friend! 🤝 Let's nail down some key terms that will pop up throughout the course. Think of these as your secret decoder ring 🔑 for understanding political science.
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Empirical Data: Factual evidence gathered through observation or experimentation. Think of it as the "what is" of political science. Example: Poll results from a political campaign.
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Normative Data: Conceptualized data based on norms or opinions. This is the "what should be" of political science. Example: Average salary levels within a population.
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Quantitative Analysis: Analyzing a large number of cases using statistical techniques. It's all about quantity over quality. Example: Analyzing election results to see how many people voted for each candidate.
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Qualitative Analysis: Analyzing a small number of cases with detailed, subjective analysis. Think quality over quantity. Example: Studying historical documents or political speeches.
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Correlation: An association between two or more variables. ➕ Positive correlation: Both variables increase together. Example: More sleep = increased productivity. ➖ Negative correlation: As one variable increases, the other decreases. Example: More TV time = lower grades.
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Causation: A cause-and-effect relationship. This is tricky to prove in political science because of so many variables. Example: Lack of accessible ballots leads to fewer votes (observed many ...

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