GV101 Introduction To Political Science (GV101)

London School of Economics (LSE)

Here are the best resources to pass GV101 Introduction To Political Science (GV101). Find GV101 Introduction To Political Science (GV101) study guides, notes, assignments, and much more.

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GV101 Lent Term Lecture, Reading and Class Notes
  • GV101 Lent Term Lecture, Reading and Class Notes

  • Lecture notes • 161 pages • 2023
  • Available in package deal
  • The course is an introduction to politics in a globalised world, with a focus on how political science tries to understand and explain cross-country and cross-time differences. The course will begin by introducing students to some of the main empirical variations in political behaviour, political institutions, and outcomes across the world, focusing mainly on democratic and partially democratic countries (in both the developed and developing world), and introducing students to some of the basic ...
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GV101 Michaelmas Term Lecture, Reading and Class Notes
  • GV101 Michaelmas Term Lecture, Reading and Class Notes

  • Lecture notes • 191 pages • 2023
  • Available in package deal
  • The course is an introduction to politics in a globalised world, with a focus on how political science tries to understand and explain cross-country and cross-time differences. The course will begin by introducing students to some of the main empirical variations in political behaviour, political institutions, and outcomes across the world, focusing mainly on democratic and partially democratic countries (in both the developed and developing world), and introducing students to some of the basic ...
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What is R-squared? Regression Analysis Basics
  • What is R-squared? Regression Analysis Basics

  • Exam (elaborations) • 3 pages • 2022
  • This resource goes over the basics of what R-squared *actually is*. How is R-squared derived from a given set of data? This resource can be used by social science students to assist with understanding conceptual ideas around data. Can be used to boost grades and general understandings of data tools.
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