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

Format:

Book

Author/Creator:

Miller, Jane E. (Jane Elizabeth), 1959- author.

Series:

Chicago guides to writing, editing, and publishing

Language:

English

Subjects (All):

Technical writing.

Multivariate analysis.

Writing.

Multivariate Analysis.

Medical Subjects:

Writing.

Multivariate Analysis.

Physical Description:

xviii, 553 pages : illustrations, map ; 24 cm.

Edition:

Second edition.

Place of Publication:

Chicago : University of Chicago Press, 2013.

Summary:

The Chicago Guide to Writing about Multivariate Analysis is the book researchers turn to when looking for guidance on how to clearly present statistical results and avoid jargon. Updated to include even more topics and real-world examples, it is the must-have resource for anyone who needs to communicate complex research results. While researchers typically know how to present their work to colleagues, their descriptions often fail to place the numeric findings in substantive context. And for non-academic audiences, the meaning of the results is often lost in a sea of unfamiliar terms and equations. The Chicago Guide to Writing about Multivariate Analysis discusses how to present findings effectively in papers, grant proposals, speeches, and other formats. For this second edition, Jane E. Miller includes four new chapters: 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 the importance of thinking critically about the intended audience and objective. Online podcasts, spreadsheet 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 in a single volume all of the steps involved in communicating findings based on multivariate analysis. 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. Book jacket.

Contents:

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

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.

Notes:

Includes bibliographical references (pages 515-527) and index.

ISBN:

9780226527864

0226527867

9780226527871

0226527875

022603819X

9780226038193

OCLC:

818293644