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The Association Graph and the Multigraph for Loglinear Models

The Association Graph and the Multigraph for Loglinear Models

January 2011 | 136 pages | SAGE Publications, Inc

This practical guide teaches nonstatisticians how to analyze and interpret loglinear models using the multigraph

The Association Graph and the Multigraph for Loglinear Models will help students, particularly those studying the analysis of categorical data, to develop the ability to evaluate and unravel even the most complex loglinear models without heavy calculations or statistical software. This supplemental text reviews loglinear models, explains the association graph, and introduces the multigraph to students who may have little prior experience of graphical techniques, but have some familiarity with categorical variable modeling. The author presents logical step-by-step techniques from the point of view of the practitioner, focusing on how the technique is applied to contingency table data and how the results are interpreted.

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About the Author
Series Editor's Introduction
Chapter 1. Introduction
Chapter 2. Structures of Association
Chapter 3. Loglinear Model Review
Chapter 4. Association Graphs for Loglinear Models
Chapter 5. Collapsibility Conditions and the Association Graph
Chapter 6. The Generator Multigraph
Chapter 7. Fundamental Conditional Independencies for Nondecomposable Loglinear Models
Chapter 8. Conclusions and Additional Examples
Data Sets
Author Index
Subject Index
Key features

Key Features

  • Numerous engaging real-data examples, many of which come from the author's own consulting experience, provide the reader with extensive practice of the techniques presented.
  • The author introduces the multigraph, a new, powerful graphical technique that enables the student to analyze certain aspects of the loglinear model more easily than with the association graph.
  • Multiple mathematical graphs help students comprehend this visual-intensive subject area


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ISBN: 9781452238951

ISBN: 9781412972383

This title is also available on SAGE Research Methods, the ultimate digital methods library. If your library doesn’t have access, ask your librarian to start a trial.