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Multilevel analysis: An introduction to basic and advanced multilevel modeling by Snijders T., Bosker R.

Multilevel analysis: An introduction to basic and advanced multilevel modeling Snijders T., Bosker R. ebook
Publisher: Sage
Page: 275
ISBN: 0761958908, 9780761958901
Format: djvu

Courses like: Introductory Data Analysis, Introduction to R, Advanced Modeling, Regression, Predictive Analytics, and the like, again with more or less meatiness depending on the audience. Multilevel data are especially This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. The simplest example is clustered data, such as a sample of students clustered within schools. Following the introduction, the authors explain the basic concepts of the latent basis growth model. Multilevel Analysis – An Introduction to Basic and Advanced Multilevel Modeling by Tom A. Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. Modeling: regression and logistic regression. He is coauthor (with Ita Kreft) of Introducing Multilevel Modeling and a member of the Albert Gifi team who wrote Nonlinear Multivariate Analysis. Tags:Multilevel analysis: An introduction to basic and advanced multilevel modeling, tutorials, pdf, djvu, chm, epub, ebook, book, torrent, downloads, rapidshare, filesonic, hotfile, fileserve. Students must find, present, and explain their own data sets, with guidance and within certain limitations. Chi-square or Fischer's exact test (for those with fewer than five in a group) analysis was applied for bivariate analysis of categorical variables, nursing education, professional rank, and unit.