Hierarchical Linear Models: Applications and Data Analysis Methods, 2/e
Stephen W. Raudenbush, Anthony S. Bryk
- 出版商: SAGE Publications
- 出版日期: 2001-12-19
- 售價: $5,150
- 貴賓價: 9.5 折 $4,893
- 語言: 英文
- 頁數: 512
- 裝訂: Hardcover
- ISBN: 076191904X
- ISBN-13: 9780761919049
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相關分類:
Data Science
海外代購書籍(需單獨結帳)
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相關主題
商品描述
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
商品描述(中文翻譯)
在第一版中,這本書因其豐富的實例和對階層線性模型(HLM)的理論和應用的清晰解釋而受到讀者的喜愛。現在,這本書已經重新組織成四個部分,並新增了四個全新的章節。前兩個部分,第一部分“階層線性建模的邏輯”和第二部分“基本應用”與上一版的前九章非常相似,但有顯著的擴展和技術澄清,例如:
- 第3章提供了對使用HLM模型進行估計和推論的基本程序的直觀簡介,只需要最低程度的數學知識。
- 第6章新增了關於多變量增長模型的部分。
- 第7章討論了研究綜合或元分析應用。
- 提供了關於層級1預測變數居中和合理值區間以及強健標準估計器的數據分析建議。
這些變化使得這本書更加全面且易於理解。