Hierarchical Linear Models: Applications and Data Analysis Methods, 2/e
暫譯: 階層線性模型：應用與數據分析方法，第二版

Stephen W. Raudenbush, Anthony S. Bryk

Hierarchical Linear Models: Applications and Data Analysis Methods, 2/e

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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)

本書在《第一版》中因其豐富的示例和清晰的理論解釋而受到歡迎，專注於層級線性模型（HLM）的理論和應用。該書已重新組織為四個部分，並新增四個全新章節。前兩個部分，第一部分為「層級線性建模的邏輯」，第二部分為「基本應用」，與前一版的前九章密切對應，並進行了顯著擴展和技術澄清，例如：

* 第三章中對HLM模型的估計和推斷基本程序的直觀介紹摘要，僅需最低限度的數學素養
* 第六章中新增的多變量成長模型部分
* 第七章中對研究綜合或元分析應用的討論
* 有關第1層預測變數中心化的數據分析建議，以及有關合理值區間和穩健標準估計量的新材料

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