Chicago Guide to Writing about Multivariate Analysis
Edition: 2nd 2013
List price: $48.00
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Description: The Chicago Guide to Writing about Multivariate Analysisis 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. Online podcasts, templates, and an updated study guide will help readers apply skills from the book to their own projects and courses.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.
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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $48.00
Copyright year: 2013
Publisher: University of Chicago Press
Publication date: 7/23/2013
Size: 6.25" wide x 9.00" long x 1.25" tall
|List of Tables|
|List of Figures|
|List of Boxes|
|Seven Basic Principles|
|Causality, Statistical Significance, and Substantive Significance|
|Five More Technical Principles|
|Creating Effective Tables|
|Creating Effective Charts|
|Choosing Effective Examples and Analogies|
|Basic Types of Quantitative Comparisons|
|Quantitative Comparisons for Multivariate Models|
|The "Goldilocks Problem" in Multivariate Regression|
|Choosing How to Present Statistical Test Results|
|Pulling it All Together|
|Writing Introductions, Conclusions, and Abstracts|
|Writing about Data and Methods|
|Writing about Distributions and Associations|
|Writing about Multivariate Models|
|Writing about Interactions|
|Writing about Event History Analysis|
|Writing about Hierarchical Linear Models (with Julie Phillips)|
|Speaking about Multivariate Analyses|
|Writing for Applied Audiences|
|Implementing "Generalization, Example, Exceptions" (GEE)|
|Translating Statistical Output into Table and Text|
|Terminology for Common Types of Multivariate Models|
|Using a Spreadsheet for Calculations|
|Comparison of Research Papers, Speeches, and Posters|