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Log-Linear Modeling
Alexander von Eye (Gebundene Ausgabe, Englisch)
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Beschreibung
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(r), 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. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
22.01.2013
Sprache
Englisch
EAN
9781118146408
Herausgeber
John Wiley & Sons
Sonderedition
Nein
Autor
Alexander von Eye
Seitenanzahl
472
Einbandart
Gebundene Ausgabe
Buch Untertitel
Concepts, Interpretation, and Application
Autorenporträt
ALEXANDER von EYE, PhD, is Professor of Psychology at Michigan State University. He has published twenty books and over 350 journal articles on statistical methods, categorical data analysis, and human development. Dr. von Eye serves as Section Editor on Categorical Data Analysis for Wiley's Encyclopedia of Statistics in Behavioral Science.
EUN-YOUNG MUN, PhD, is Associate Professor of Psychology at Rutgers University. Her research focuses on extending generalized latent variable modeling to the study of clustered, repeated measures longitudinal data.
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