##### 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.

Title Page, Table of Contents, and Preface | |

Chapter 1. | Introduction |

Suggested Course Extensions | |

Chapter 2. | Seven Basic Principles |

Problem Set | Suggested Course Extensions | Solutions | |

Chapter 3. | Causality, Statistical Significance, and Substantive Significance |

Problem Set | Suggested Course Extensions | Solutions | |

Chapter 4. | Five More Technical Principles |

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Chapter 5. | Creating Effective Tables |

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Chapter 6. | Creating Effective Charts |

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Chapter 7. | Choosing Effective Examples and Analogies |

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Chapter 8. | Basic Types of Quantitative Comparisons |

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Chapter 9. | Quantitative Comparisons for Multivariate Models |

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Chapter 10. | The “Goldilocks Problem” in Multivariate Regression |

Problem Set | Suggested Course Extensions | Solutions | |

Chapter 11. | Choosing How to Present Statistical Test Results |

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Chapter 12. | Writing Introductions, Conclusions, and Abstracts |

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Chapter 13. | Writing about Data and Methods |

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Chapter 14. | Writing about Distributions and Associations |

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Chapter 15. | Writing about Multivariate Models |

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Chapter 16. | Writing about Interactions |

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Chapter 17. | Writing about Event History Analysis |

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Chapter 18. | Writing about Hierarchical Linear Models |

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Chapter 19. | Speaking about Multivariate Analyses |

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Chapter 20. | Writing for Applied Audiences |

Problem Set | Suggested Course Extensions | Solutions |