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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
ISBN: 0761958908, 9780761958901
Format: djvu
Publisher: Sage
Page: 275

Pieter van den Eeden, The effective interviewers emphasized the importance of a combination of basic rules (identify yourself, mention agency almost at once) with more advanced tactics (tailoring, adapting introduction). Basic models and examples Ideal for introductory courses on multilevel modeling and/or ones that introduce this topic in some detail taught in a variety of disciplines including: psychology, education, sociology, the health sciences, and business. Noted as an accessible introduction, the book also includes advanced extensions, making it useful as both an introduction and as a reference to students, researchers, and methodologists. He is coauthor (with Ita Kreft) of Introducing Multilevel Modeling and a member of the Albert Gifi team who wrote Nonlinear Multivariate Analysis. Prior knowledge of multilevel analysis is not required, but a basic knowledge of regression analysis, (asymptotic) statistics, and matrix algebra is assumed. Hox Language: English Publish Year : 2002 Info: E-Book readable online or download on PDF DJVU "The author has chosen a technical level for the presentation that allows precision in the model specifications and the discussion of more advanced issues without detracting from its applied focus. INTRODUCTION – MULTILEVEL ANALYSIS. Mathematical modelling of social processes, computer simulation, microanalytical simulation, multilevel modelling, formal models, chaotic behaviour. Handbook of Multilevel Analysis presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. Multilevel analysis: An introduction to basic and advanced multilevel modeling. Multilevel Analysis: Techniques and Applications (Quantitative Methodology Series) Ebook By J. Data analysis using regression and multilevel/hierarchical models.