Hierarchical Linear Models: Applications and Data Analysis Methods - Advanced Quantitative Techniques in the Social Sciences - Stephen W. Raudenbush - 图书 - SAGE Publications Inc - 9780761919049 - 2002年1月31日
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Stephen W. Raudenbush
Hierarchical Linear Models: Applications and Data Analysis Methods - Advanced Quantitative Techniques in the Social Sciences 2 Revised edition

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Popular in the First Edition for its rich, illustrative examples and lucid explanations of the theory and use of hierarchical linear models (HLM), the book has been reorganized into four parts with four completely new chapters. The first two parts, Part I on "The Logic of Hierarchical Linear Modeling" and Part II on "Basic Applications" closely parallel the first nine chapters of the previous edition with significant expansions and technical clarifications, such as: * An intuitive introductory summary of the basic procedures for estimation and inference used with HLM models that only requires a minimal level of mathematical sophistication in Chapter 3* New section on multivariate growth models in Chapter 6 * A discussion of research synthesis or meta-analysis applications in Chapter 7* Data analytic advice on centering of level-1 predictors and new material on plausible value intervals and robust standard estimators

512 pages, Illustrations

介质类型 图书     Hardcover Book   (精装硬皮书)
已发行 2002年1月31日
ISBN13 9780761919049
出版商 SAGE Publications Inc
页数 512
商品尺寸 163 × 229 × 32 mm   ·   790 g
语言 英语  

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