05425cam a2200685Ka 4500 ocn825767800 OCoLC 20171112084403.0 m o d cr cnu---unuuu 130129s2013 njua ob s001 0 eng d 2012009791 9781118391747 (electronic bk.) 1118391748 (electronic bk.) 9781118391778 (electronic bk.) 1118391772 (electronic bk.) 9781283977968 (MyiLibrary) 1283977966 (MyiLibrary) 9781118146408 1118146409 AU@ 000050591347 AU@ 000052911995 CHNEW 000723521 DEBBG BV041069180 DEBBG BV041905736 DKDLA 820120-katalog:000600501 NLGGC 356732495 NZ1 14976982 DEBBG BV043395327 (OCoLC)825767800 (OCoLC)825108798 (OCoLC)880899818 (OCoLC)904962018 (OCoLC)961515771 (OCoLC)962633530 (OCoLC)966147403 N$T eng pn N$T YDXCP DG1 CDX COO E7B IDEBK OCLCF OCLCQ AU@ RECBK OCLCQ DEBBG AZK LOA MAIN QA278 .E95 2013eb MAT 029030 bisacsh 519.5/36 23 MAT029000 bisacsh Eye, Alexander von. Log-linear modeling : concepts, interpretation, and application / Alexander von Eye, Michigan State University, Department of Psychology, East Lansing, MI, Eun-Young Mun, Rutgers, the State University of New Jersey, Center for Alcohol Studies, Piscataway, New Jersey. [electronic resource] Hoboken, New Jersey : Wiley, [2013] 1 online resource (xv, 450 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier data file rda Bibliography Includes bibliographical references and indexes. Basics of Hierarchical Log-Linear Models -- Effects in a Table -- Goodness-of-Fit -- Hierarchical Log-Linear Models and Odds Ratio Analysis -- Computations I: Basic Log-Linear Modeling -- The Design Matrix Approach -- Parameter Interpretation and Significance Tests -- Computations II: Design Matrices and Poisson GLM -- Nonhierarchical and Nonstandard Log-Linear Models -- Computations III: Nonstandard Models -- Sampling Schemes and Chi-Square Decomposition -- Symmetry Models -- Log-Linear Models of Rater Agreement -- Comparing Associations in Subtables: Homogeneity of Associations -- Logistic Regression and Other Logit Models -- Reduced Designs -- Computations IV: Additional Models. "Over the past ten years, there have been many important advances in log-linear modeling, including the specification of new models, in particular non-standard models, and their relationships to methods such as Rasch modeling. While most literature on the topic is contained in volumes aimed at advanced statisticians, Applied Log-Linear Modeling presents the topic in an accessible style that is customized for applied researchers who utilize log-linear modeling in the social sciences. The book begins by providing readers with a foundation on the basics of log-linear modeling, introducing decomposing effects in cross-tabulations and goodness-of-fit tests. Popular hierarchical log-linear models are illustrated using empirical data examples, and odds ratio analysis is discussed as an interesting method of analysis of cross-tabulations. Next, readers are introduced to the design matrix approach to log-linear modeling, presenting various forms of coding (effects coding, dummy coding, Helmert contrasts etc.) and the characteristics of design matrices. The book goes on to explore non-hierarchical and nonstandard log-linear models, outlining ten nonstandard log-linear models (including nonstandard nested models, models with quantitative factors, logit models, and log-linear Rasch models) as well as special topics and applications. A brief discussion of sampling schemes is also provided along with a selection of useful methods of chi-square decomposition. Additional topics of coverage include models of marginal homogeneity, rater agreement, methods to test hypotheses about differences in associations across subgroup, the relationship between log-linear modeling to logistic regression, and reduced designs. Throughout the book, Computer Applications chapters feature SYSTAT, Lem, and R illustrations of the previous chapter's material, utilizing empirical data examples to demonstrate the relevance of the topics in modern research"-- Provided by publisher. Print version record. Log-linear models. MATHEMATICS Probability & Statistics General. bisacsh MATHEMATICS Probability & Statistics Regression Analysis. bisacsh Log-linear models. fast (OCoLC)fst01001918 Electronic books. Electronic books. local Mun, Eun Young. Print version: Eye, Alexander von. Log-linear modeling. Hoboken, New Jersey : Wiley, [2013] 9781118146408 (DLC) 2012009791 (OCoLC)779259318 http://onlinelibrary.wiley.com/book/10.1002/9781118391778 Wiley Online Library ddc BK 206379 206379