Study Guide

The Chicago Guide to Writing about Multivariate Analysis (First Edition)

Jane E. Miller

This website makes available in PDF format a study guide for the first edition of The Chicago Guide to Writing about Multivariate Analysis by Jane E. Miller. (A new, second editon has been published and has its own website of supplementary material.) Each substantive chapter of the first edtion has problem sets, suggested course extensions, and solutions suitable for use in the college classroom. Individual parts of the guide may be downloaded below. Or the entirety of the 137-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. Choosing How to Present Statistical Test Results
Chapter 11. Writing Introductions, Conclusions, and Abstracts
Chapter 12. Writing about Data and Methods
Chapter 13. Writing about Distributions and Associations
Chapter 14. Writing about Multivariate Models
Chapter 15. Speaking about Multivariate Analysis
Chapter 16. Writing for Applied Audiences

If you have comments or suggestions on teaching with this book, please email the author at .

Jane E. Miller is also the author of The Chicago Guide to Writing about Numbers. A separate study guide is available for that book.

The University of Chicago Press homepage