Log-linear modeling : concepts, interpretation, and application / / Alexander von Eye, Eun-Young Mun.
"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...
Saved in:
: | |
---|---|
TeilnehmendeR: | |
Year of Publication: | 2013 |
Language: | English |
Online Access: | |
Physical Description: | xv, 450 p. :; ill. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
LEADER | 03346nam a2200385 a 4500 | ||
---|---|---|---|
001 | 500918213 | ||
003 | MiAaPQ | ||
005 | 20200520144314.0 | ||
006 | m o d | | ||
007 | cr cn||||||||| | ||
008 | 120306s2013 njuad sb s001 0 eng d | ||
010 | |z 2012009791 | ||
020 | |z 9781118146408 (hardback) | ||
020 | |a 9781118391747 (electronic bk.) | ||
035 | |a (MiAaPQ)500918213 | ||
035 | |a (Au-PeEL)EBL918213 | ||
035 | |a (CaPaEBR)ebr10648815 | ||
035 | |a (CaONFJC)MIL429046 | ||
035 | |a (OCoLC)826853571 | ||
040 | |a MiAaPQ |c MiAaPQ |d MiAaPQ | ||
050 | 4 | |a QA278 |b .E95 2013 | |
082 | 0 | 4 | |a 519.5/36 |2 23 |
100 | 1 | |a Eye, Alexander von. | |
245 | 1 | 0 | |a Log-linear modeling |h [electronic resource] : |b concepts, interpretation, and application / |c Alexander von Eye, Eun-Young Mun. |
246 | 3 | |a Log linear modeling | |
260 | |a Hoboken, N.J. : |b Wiley, |c 2013. | ||
300 | |a xv, 450 p. : |b ill. | ||
504 | |a Includes bibliographical references and indexes. | ||
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"-- |c Provided by publisher. | ||
533 | |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
650 | 0 | |a Log-linear models. | |
655 | 4 | |a Electronic books. | |
700 | 1 | |a Mun, Eun Young. | |
710 | 2 | |a ProQuest (Firm) | |
856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=918213 |z Click to View |