Chicago Guide to Writing about Multivariate Analysis

Name: Chicago Guide to Writing about Multivariate Analysis
Availability: InStock
ISBN: 9780226527871

ISBN-10: 0226527875

ISBN-13: 9780226527871

Edition: 2nd 2013

Authors: Jane E. Miller

List price: $52.00

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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…

Book details

List price: $52.00
Edition: 2nd
Copyright year: 2013
Publisher: University of Chicago Press
Publication date: 7/23/2013
Binding: Paperback
Pages: 576
Size: 0.65" wide x 0.87" long x 0.13" tall
Weight: 2.068
Language: English



List of Tables


List of Figures


List of Boxes


Preface


Acknowledgments



Introduction



Principles



Seven Basic Principles



Causality, Statistical Significance, and Substantive Significance



Five More Technical Principles



Tools



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


Notes


Reference List


Index