The Chicago guide to writing about multivariate analysis /

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Bibliographic Details
Author / Creator:Miller, Jane E. (Jane Elizabeth), 1959-
Imprint:Chicago : University of Chicago Press, 2005.
Description:1 online resource (xv, 487 pages) : illustrations
Language:English
Series:Chicago guides to writing, editing, and publishing
Chicago guides to writing, editing, and publishing.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11171304
Hidden Bibliographic Details
ISBN:9780226527840
0226527840
9780226527826
0226527824
9780226527833
0226527832
0226527824
0226527832
Notes:Includes bibliographical references (pages 445-455) and index.
Print version record.
Summary:Writing about multivariate analysis is a surprisingly common task. Researchers use these advanced statistical techniques to examine relationships among multiple variables, such as exercise, diet, and heart disease, or to forecast information such as future interest rates or unemployment. Many different people, from social scientists to government agencies to business professionals, depend on the results of multivariate models to inform their decisions. At the same time, many researchers have trouble communicating the purpose and findings of these models. Too often, explanations become bogged d.
Other form:Print version: Miller, Jane E. (Jane Elizabeth), 1959- Chicago guide to writing about multivariate analysis. Chicago : University of Chicago Press, 2005 0226527824 9780226527826

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245 1 4 |a The Chicago guide to writing about multivariate analysis /  |c Jane E. Miller. 
260 |a Chicago :  |b University of Chicago Press,  |c 2005. 
300 |a 1 online resource (xv, 487 pages) :  |b illustrations 
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490 1 |a Chicago guides to writing, editing, and publishing 
504 |a Includes bibliographical references (pages 445-455) and index. 
505 0 |a 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. 
588 0 |a Print version record. 
520 |a Writing about multivariate analysis is a surprisingly common task. Researchers use these advanced statistical techniques to examine relationships among multiple variables, such as exercise, diet, and heart disease, or to forecast information such as future interest rates or unemployment. Many different people, from social scientists to government agencies to business professionals, depend on the results of multivariate models to inform their decisions. At the same time, many researchers have trouble communicating the purpose and findings of these models. Too often, explanations become bogged d. 
650 0 |a Technical writing.  |0 http://id.loc.gov/authorities/subjects/sh85133137 
650 0 |a Multivariate analysis.  |0 http://id.loc.gov/authorities/subjects/sh85088390 
650 6 |a Rédaction technique. 
650 6 |a Analyse multivariée. 
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650 7 |a Multivariate analysis.  |2 fast  |0 (OCoLC)fst01029105 
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