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The Essentials of Political Analysis

Seventh Edition
by Philip H. Pollock III and Barry C. Edwards

Student Resources

  • Practice Quizzes
  • Video Lectures
  1. Chapter 1 The Definition and Measurement of Concepts
    • Learning Objectives
  2. Chapter 2 Measuring and Describing Variables
    • Learning Objectives
  3. Chapter 3 Creating and Transforming Variables
    • Learning Objectives
  4. Chapter 4 Proposing Explanations, Framing Hypotheses, and Making Comparisons
    • Learning Objectives
  5. Chapter 5 Graphing Relationships and Describing Patterns
    • Learning Objectives
  6. Chapter 6 Research Design, Research Ethics, and Evidence of Causation
    • Learning Objectives
  7. Chapter 7 Making Controlled Comparisons
    • Learning Objectives
  8. Chapter 8 Foundations of Statistical Inference
    • Learning Objectives
  9. Chapter 9 Hypothesis Tests With One or Two Samples
    • Learning Objectives
  10. Chapter 10 Chi-Square Test and Analysis of Variance
    • Learning Objectives
  11. Chapter 11 Correlation and Bivariate Regression
    • Learning Objectives
  12. Chapter 12 Multiple Regression
    • Learning Objectives
  13. Chapter 13 Analyzing Regression Residuals
    • Learning Objectives
  14. Chapter 14 Logistic Regression
    • Learning Objectives
  15. Chapter 15 Conducting Your Own Political Analysis
    • Learning Objectives

Video Lectures

Watch video lectures created by author Philip Pollock and Barry Edwards which enhance classroom-based explorations of key topics. Use the left navigation menu or click below to access the lectures.

Introduction

Chapter 1: Definition and Measurement of Concepts

Chapter 2: Measuring and Describing Variables

Chapter 3: Creating and Transforming Variables

Chapter 4: Proposing Explanations, Framing Hypotheses, and Making Comparisons

Chapter 5: Graphing Relationships & Describing Patterns

Chapter 6: Research Design, Research Ethics, and Causation

Chapter 7: Making Controlled Comparisons

Chapter 8: Foundations of Inference

Chapter 9: Hypothesis Tests with One & Two Samples

Chapter 10: Chi-Square & ANOVA

Chapter 11: Correlation and Bivariate Regression

Chapter 12: Multiple Regression

Chapter 13: Analyzing Residuals

Chapter 14: Logistic Regression

Chapter 15: Doing Your Own Analysis

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