By emphasizing the underlying logic of statistical analysis for greater understanding and drawing on applications and examples from political science, Understanding Political Science Statistics illustrates how students can apply statistical concepts and techniques in their own research, in future coursework, and simply as an informed consumer of numbers in public discourse. Here, the book is paired with the corresponding manual that walks students through the procedures for analysis in Stata and provides exercises that go hand-in-hand with online data sets.
Table of Contents
Understanding Political Science Statistics: 1. Political Science, the Scientific Method, and Statistical Analysis: An Overview 2. How Do We Measure and Observe? 3. Central Tendency as Summary Observation 4. Dispersion, Variation, Goodness of Fit as Summary Observation 5. Standardized Scores and Normal Distributions: The Concept of Relative Observation 6. An Intuitive Introduction to Inference and Hypothesis Testing 7. Hypothesis Testing and the Concept of ASsociation: Observations and Expectatiosn about the Difference between Two Means 8. Inferential Statistics for Proportions 9. Measuring Association for Nominal and Ordinal Data 10. Research Design and the Use of Control Variables 11. Different by How Much? Linear Regression 12. Retracing Our Steps: Hypotheses, Multiple Regression, and the EFfects of Third Variables
Stata Manual: 1. General Overview 2. Setting up the Stata Data File for Analysis 3. Commonly Used Stata Commands—Operationalization 4. Commonly Used Stata Commands—Data Analysis