The Chicago Guide to Writing about Multivariate Analysis (Chicago Guides to Writing, Editing, and Publishing) Review

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CONTENTS
Introduction
Part I - Principles
Seven basic principles
Causality, statistical significance, and substantive significance
Five more technical principles
Part II - Tools
Creating effective tables
Creating effective charts
Choosing effective examples and analogies
Basic types of quantitative comparisons
Quantitative comparisons for multivariate models
Choosing how to present statistical test results
Part III - Pulling it all together
Writing introductions, conclusions, and abstracts
Writing about data and methods
Writing about distributions and associations
Writing about multivariate models
Speaking about multivariate analyses
Writing for applied audiences
Appendix A - Implementing "generalization, example, exceptions" (GEE)
Appendix B - Translating statistical output into table and text
Appendix C - Terminology for ordinary least squares (OLS) at logistic models
Appendix D - Using a spreadsheet for calculations
This following website makes available in PDF format a study guide for the book: http://www.press.uchicago.edu/books/miller/multivariate/
The Chicago Guide to Writing about Multivariate Analysis (Chicago Guides to Writing, Editing, and Publishing) Overview

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