Thinking Through Statistics
Thinking Through Statistics
Martin argues that the task of social statistics isn't to estimate parameters, but to reject false theory. He illustrates common pitfalls that can keep researchers from doing just that using a combination of visualizations, re-analyses, and simulations. Thinking Through Statistics gives social science practitioners accessible insight into troves of wisdom that would normally have to be earned through arduous trial and error, and it does so with a lighthearted approach that ensures this field guide is anything but stodgy.
See the supplementary R-code examples. Read the introduction.
400 pages | 15 halftones, 56 line drawings, 25 tables | 6 x 9 | © 2018
Economics and Business: Economics--General Theory and Principles
Political Science: Political and Social Theory
Sociology: Methodology, Statistics, and Mathematical Sociology, Theory and Sociology of Knowledge
Reviews
Table of Contents
Chapter 1: Introduction
Chapter 2: Know Your Data
Chapter 3: Selectivity
Chapter 4: Misspecification and Control
Chapter 5: Where Is the Variance?
Chapter 6: Opportunity Knocks
Chapter 7: Time and Space
Chapter 8: When the World Knows More about the Processes than You Do
Chapter 9: Too Good to Be True
Conclusion
References
Index
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