The Chicago guide to writing about multivariate analysis /
General Material Designation
[Book]
First Statement of Responsibility
Jane E. Miller.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Chicago :
Name of Publisher, Distributor, etc.
University of Chicago Press,
Date of Publication, Distribution, etc.
2005.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xv, 487 pages :
Other Physical Details
illustrations ;
Dimensions
23 cm.
SERIES
Series Title
Chicago guides to writing, editing, and publishing
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references (pages 445-455) and index.
CONTENTS NOTE
Text of Note
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 -- 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 -- Speaking about multivariate analyses -- Writing for applied audiences.
0
SUMMARY OR ABSTRACT
Text of Note
Bringing together advanced statistical methods and good expository writing, The Chicago Guide to Writing about Multivariate Analysis offers much-needed help to academic researchers as well as analysts who write for general audiences. From general principles to specific examples, Jane Miller discusses how to use tables, charts, examples, and analogies to write a clear, compelling argument using multivariate results as evidence. Writers will repeatedly look to this book for guidance on how.
Text of Note
To express their ideas in scientific papers, grant proposals, speeches, issue briefs, chartbooks, posters, and other documents without getting bogged down in statistical jargon and technical details. Communicating effectively with multivariate models need never appear so complicated again. Book jacket.
TOPICAL NAME USED AS SUBJECT
Multivariate analysis.
Technical writing.
Analyse multivariée.
Rédaction technique.
31.04 teaching, profession, organizations of mathematics.