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The Chicago guide to writing about multivariate analysis / Jane E. Miller.

By: Material type: TextTextPublication details: Chicago : University of Chicago Press, 2005.Description: xv, 487 p. : ill. ; 23 cmISBN:
  • 0226527824 (alk. paper)
  • 0226527832 (pbk. : alk. paper)
Subject(s): DDC classification:
  • 808.066519
LOC classification:
  • T 11 M648c 2005
Online resources:
Contents:
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.
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Holdings
Item type Current library Home library Collection Shelving location Call number Copy number Status Date due Barcode
Libro Libro Biblioteca Juan Bosch Biblioteca Juan Bosch Colección de Tecnología Humanidades (4to. Piso) T 11 M648c 2005 (Browse shelf(Opens below)) 1 Available 00000109799

Includes bibliographical references (p. [445]-455) and index.

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.

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