| 書目名稱 | Handbook ofMultilevel Analysis | | 編輯 | Jan de Leeuw,Erik Meijer | | 視頻video | http://file.papertrans.cn/422/421692/421692.mp4 | | 概述 | Discusses complex data structures with a hierarchical structure, e.g., pupils nested within schools.Distinguished collection of contributors.Includes supplementary material: | | 圖書封面 |  | | 描述 | .Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioral sciences and in the bio-medical sciences. The models used for this type of data are linear and nonlinear regression models that account for observed and unobserved heterogeneity at the various levels in the data. ..This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. The authors of the chapters are the leading experts in the field...Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, this book is useful for empirical researchers in these fields. Prior knowledge of multilevel analysis is not required, but a basic knowledge of regression analysis, (asymptotic) statistics, and matrix algebra is assumed.. | | 出版日期 | Book 2008 | | 關(guān)鍵詞 | Analysis; Empirical Research; Generalized linear model; LDA; Regression analysis; Resampling; STATISTICA; S | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-73186-5 | | isbn_softcover | 978-1-4419-2512-1 | | isbn_ebook | 978-0-387-73186-5 | | copyright | Springer-Verlag New York 2008 |
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