Log-linear modeling (Record no. 34782)
| 000 -LEADER | |
|---|---|
| fixed length control field | 03240nam a2200337 a 4500 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.5/36 |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Eye, Alexander von. |
| 245 10 - TITLE STATEMENT | |
| Title | Log-linear modeling |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Hoboken, N.J. : |
| Name of publisher | Wiley, |
| Year of publication | 2013. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xv, 450 p. : |
| Other physical details | ill. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "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"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Log-linear models. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mun, Eun Young. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://site.ebrary.com/lib/rucke/Doc?id=10648815 |
| 520 ## - SUMMARY, ETC. | |
| -- | Provided by publisher. |
No items available.