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019 _a825108798
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020 _a9781118391747
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020 _a1118391748
_q(electronic bk.)
020 _a9781118391778
_q(electronic bk.)
020 _a1118391772
_q(electronic bk.)
020 _a9781283977968
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020 _z9781118146408
020 _z1118146409
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035 _a(OCoLC)825767800
_z(OCoLC)825108798
_z(OCoLC)880899818
_z(OCoLC)904962018
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082 0 4 _a519.5/36
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084 _aMAT029000
_2bisacsh
049 _aMAIN
100 1 _aEye, Alexander von.
245 1 0 _aLog-linear modeling :
_bconcepts, interpretation, and application /
_cAlexander 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.
260 _aHoboken, New Jersey :
_bWiley,
_c[2013]
300 _a1 online resource (xv, 450 pages) :
_billustrations
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _adata file
_2rda
380 _aBibliography
520 _a"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"--
_cProvided by publisher.
504 _aIncludes bibliographical references and indexes.
588 0 _aPrint version record.
505 0 _aBasics 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.
650 0 _aLog-linear models.
650 7 _aMATHEMATICS
_xProbability & Statistics
_xGeneral.
_2bisacsh
650 7 _aMATHEMATICS
_xProbability & Statistics
_xRegression Analysis.
_2bisacsh
650 7 _aLog-linear models.
_2fast
_0(OCoLC)fst01001918
655 4 _aElectronic books.
655 7 _aElectronic books.
_2local
700 1 _aMun, Eun Young.
776 0 8 _iPrint version:
_aEye, Alexander von.
_tLog-linear modeling.
_dHoboken, New Jersey : Wiley, [2013]
_z9781118146408
_w(DLC) 2012009791
_w(OCoLC)779259318
856 4 0 _uhttp://dx.doi.org/10.1002/9781118391778
_zWiley Online Library
994 _a92
_bDG1
999 _c20056
_d20015
526 _bssh