Study Guide

This Study Guide for The Chicago Guide to Writing about Multivariate Analysis, 2nd Edition, by Jane E. Miller provides problem sets, suggested course extensions, and solutions for each substantive chapter of the book, suitable for use in the college classroom. Individual parts of the guide may be downloaded below. Or the entirety of the 190-page guide is available in one PDF file.

 
Chapter 1. Introduction
 
Chapter 2. Seven Basic Principles
 
Chapter 3. Causality, Statistical Significance, and Substantive Significance
 
Chapter 4. Five More Technical Principles
 
Chapter 5. Creating Effective Tables
 
Chapter 6. Creating Effective Charts
 
Chapter 7. Choosing Effective Examples and Analogies
 
Chapter 8. Basic Types of Quantitative Comparisons
 
Chapter 9. Quantitative Comparisons for Multivariate Models
 
Chapter 10. The “Goldilocks Problem” in Multivariate Regression
 
Chapter 11. Choosing How to Present Statistical Test Results
 
Chapter 12. Writing Introductions, Conclusions, and Abstracts
 
Chapter 13. Writing about Data and Methods
 
Chapter 14. Writing about Distributions and Associations
 
Chapter 15. Writing about Multivariate Models
 
Chapter 16. Writing about Interactions
 
Chapter 17. Writing about Event History Analysis
 
Chapter 18. Writing about Hierarchical Linear Models
 
Chapter 19. Speaking about Multivariate Analyses
 
Chapter 20. Writing for Applied Audiences
 


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