Cloth $110.00 ISBN: 9780226527864 Published July 2013
Paper $45.00 ISBN: 9780226527871 Published July 2013
E-book $7.00 to $36.00 About E-books ISBN: 9780226038193 Published September 2013

The Chicago Guide to Writing about Multivariate Analysis, Second Edition

Jane E. Miller

The Chicago Guide to Writing about Multivariate Analysis, Second Edition
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A supplementary website for students and instructors is available.

Jane E. Miller

576 pages | 2 halftones, 87 figures, 52 tables | 6 x 9 | © 2005, 2013
Cloth $110.00 ISBN: 9780226527864 Published July 2013
Paper $45.00 ISBN: 9780226527871 Published July 2013
E-book $7.00 to $36.00 About E-books ISBN: 9780226038193 Published September 2013
Many different people, from social scientists to government agencies to business professionals, depend on the results of multivariate models to inform their decisions.  Researchers use these advanced statistical techniques to analyze relationships among multiple variables, such as how exercise and weight relate to the risk of heart disease, or how unemployment and interest rates affect economic growth. Yet, despite the widespread need to plainly and effectively explain the results of multivariate analyses to varied audiences, few are properly taught this critical skill.

The Chicago Guide to Writing about Multivariate Analysis
is the book researchers turn to when looking for guidance on how to clearly present statistical results and break through the jargon that often clouds writing about applications of statistical analysis. This new edition features even more topics and real-world examples, making it the must-have resource for anyone who needs to communicate complex research results.

For this second edition, Jane E. Miller includes four new chapters that cover writing about interactions, writing about event history analysis, writing about multilevel models, and the “Goldilocks principle” for choosing the right size contrast for interpreting results for different variables. In addition, she has updated or added numerous examples, while retaining her clear voice and focus on writers thinking critically about their intended audience and objective.

For the second edition, Miller has created materials for an extensive supplementary website for students and instructors, which includes slide shows, spreadsheet templates, and podcasts to illustrate the concepts and techniques of the book. Also online is a study guide of problem sets, solutions , and suggested course extensions.

This continues to be the only book that brings together all of the steps involved in communicating findings based on multivariate analysis—finding data, creating variables, estimating statistical models, calculating overall effects, organizing ideas, designing tables and charts, and writing prose—in a single volume. When aligned with Miller’s twelve fundamental principles for quantitative writing, this approach will empower readers—whether students or experienced researchers—to communicate their findings clearly and effectively.
Choice
"Miller is no stranger to statistical literacy and quantitative communication. Her previous publications and her experience with teaching research methods benefit this volume’s expansion of the first edition. . . . Recommended."
Contents

Preface

Chapter 1 Introduction
Suggested Course Extensions

Chapter 2 Seven Basic Principles
Problem Set
Suggested Course Extensions
Solutions

Chapter 3 Causality, Statistical Signifi cance, and Substantive Significance
Problem Set
Suggested Course Extensions
Solutions

Chapter 4 Five More Technical Principles
Problem Set
Suggested Course Extensions
Solutions

Chapter 5 Creating Eff ective Tables
Problem Set
Suggested Course Extensions
Solutions

Chapter 6 Creating Eff ective Charts
Problem Set
Suggested Course Extensions
Solutions

Chapter 7 Choosing Eff ective Examples and Analogies
Problem Set
Suggested Course Extensions
Solutions

Chapter 8 Basic Types of Quantitative Comparisons
Problem Set
Suggested Course Extensions
Solutions

Chapter 9 Quantitative Comparisons for Multivariate Models
Problem Set
Suggested Course Extensions
Solutions

Chapter 10 The “Goldilocks Problem” in Multivariate Regression
Problem Set
Suggested Course Extensions
Solutions

Chapter 11 Choosing How to Present Statistical Test Results
Problem Set
Suggested Course Extensions
Solutions

Chapter 12 Writing Introductions, Conclusions, and Abstracts
Problem Set
Suggested Course Extensions
Solutions

Chapter 13 Writing about Data and Methods
Problem Set
Suggested Course Extensions
Solutions

Chapter 14 Writing about Distributions and Associations
Problem Set
Suggested Course Extensions
Solutions

Chapter 15 Writing about Multivariate Models
Problem Set
Suggested Course Extensions
Solutions

Chapter 16 Writing about Interactions
Problem Set
Suggested Course Extensions
Solutions

Chapter 17 Writing about Event History Analysis
Problem Set
Suggested Course Extensions
Solutions

Chapter 18 Writing about Hierarchical Linear Models
Problem Set
Suggested Course Extensions
Solutions

Chapter 19 Speaking about Multivariate Analyses
Problem Set
Suggested Course Extensions
Solutions

Chapter 20 Writing for Applied Audiences
Problem Set
Suggested Course Extensions
Solutions

For more information, or to order this book, please visit http://www.press.uchicago.edu
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