Log-Linear Modeling

Concepts, Interpretation, and Application

Alexander von Eye, Eun-Young Mun

Research output: Book/ReportBookResearchpeer-review

20 Citations (Scopus)

Abstract

An easily accessible introduction to log-linear modeling for non-statisticians. Highlighting advances that have lent to the topic's distinct, coherent methodology over the past decade, Log-Linear Modeling: Concepts, Interpretation, and Application provides an essential, introductory treatment of the subject, featuring many new and advanced log-linear methods, models, and applications. The book begins with basic coverage of categorical data, and goes on to describe the basics of hierarchical log-linear models as well as decomposing effects in cross-classifications and goodness-of-fit tests. Additional topics include: The generalized linear model (GLM) along with popular methods of coding such as effect coding and dummy coding. Parameter interpretation and how to ensure that the parameters reflect the hypotheses being studied. Symmetry, rater agreement, homogeneity of association, logistic regression, and reduced designs models. Throughout the book, real-world data illustrate the application of models and understanding of the related results. In addition, each chapter utilizes R, SYSTAT®, and lEM software, providing readers with an understanding of these programs in the context of hierarchical log-linear modeling. Log-Linear Modeling is an excellent book for courses on categorical data analysis at the upper-undergraduate and graduate levels. It also serves as an excellent reference for applied researchers in virtually any area of study, from medicine and statistics to the social sciences, who analyze empirical data in their everyday work..

Original languageEnglish
PublisherJohn Wiley and Sons
ISBN (Print)9781118146408
DOIs
StatePublished - 11 Jan 2013

Fingerprint

Modeling
Nominal or categorical data
Coding
Log-linear Models
Goodness of Fit Test
Generalized Linear Model
Social Sciences
Hierarchical Model
Logistic Regression
Homogeneity
Medicine
Data analysis
Coverage
Interpretation
Concepts
Model
Statistics
Distinct
Symmetry
Software

Cite this

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Log-Linear Modeling : Concepts, Interpretation, and Application. / von Eye, Alexander; Mun, Eun-Young.

John Wiley and Sons, 2013.

Research output: Book/ReportBookResearchpeer-review

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