Multiple Regression and Beyond: An Introduction to Multiple Regression and Structural Equation Modeling
暫譯: 多重迴歸與其延伸：多重迴歸與結構方程模型入門
Keith, Timothy Z., Reynolds, Matthew, Caemmerer, Jacqueline
- 出版商: Routledge
- 出版日期: 2025-09-30
- 售價: $9,290
- 貴賓價: 9.5 折 $8,826
- 語言: 英文
- 頁數: 698
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032520957
- ISBN-13: 9781032520957
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相關分類:
機率統計學 Probability-and-statistics
海外代購書籍(需單獨結帳)
商品描述
Multiple Regression and Beyond provides a conceptually oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with related analyses. By emphasizing the concepts and purposes of MR rather than the derivation and calculation of formulas, this book presents the material in a clearer and more accessible way. This approach not only covers essential coursework but also makes it more approachable for students, increasing the likelihood that they will conduct research using MR or SEM effectively and wisely.
This book covers both MR and SEM, explaining their relevance to each other. It also includes path analysis, confirmatory factor analysis, and latent growth modeling, incorporating real-world research examples throughout the chapters and end-of-chapter exercises. Figures and tables are used extensively to illustrate key concepts and techniques.
This new edition includes:
- New sections on quantile regression, statistical suppression, contrast coding, and random intercept panel models
- Support for the statistical program R and the R package lavaan in the text and on the website (www.tzkeith.com)
- New examples and exercises
- Updated instructor and student online resources (www.tzkeith.com)
商品描述(中文翻譯)
《多重迴歸及其延伸》提供了一個以概念為導向的多重迴歸（MR）分析和結構方程模型（SEM）介紹，以及相關的分析。這本書強調MR的概念和目的，而非公式的推導和計算，以更清晰且易於理解的方式呈現材料。這種方法不僅涵蓋了必要的課程內容，還使學生更容易接觸，增加他們有效且明智地使用MR或SEM進行研究的可能性。
本書涵蓋了MR和SEM，解釋了它們之間的相關性。它還包括路徑分析、驗證性因素分析和潛在成長模型，並在各章中融入現實世界的研究範例和章末練習。書中廣泛使用圖表來說明關鍵概念和技術。
本新版本包括：
- 新增有關分位數迴歸、統計抑制、對比編碼和隨機截距面板模型的章節
- 在文本和網站（www.tzkeith.com）中支持統計程式R和R套件lavaan
- 新的範例和練習
- 更新的教師和學生線上資源（www.tzkeith.com）
作者簡介
Timothy Z. Keith is Professor Emeritus at the University of Texas, Austin. Before retiring he was director of the graduate school psychology program (now school and clinical child psychology) in the Department of Educational Psychology. His research focused on the nature and measurement of intelligence, including the validity of tests of intelligence and the theories from which they are drawn.
Matthew R. Reynolds is Professor of Educational Psychology at the University of Kansas. His research focuses on the measurement and structure of human cognitive abilities and on sex differences in cognitive abilities and academic achievement. Jacqueline M. Caemmerer is an Assistant Professor in the Department of Educational Psychology (school psychology graduate programs) at the University of Connecticut. Her research interests are in psychological assessment and validity issues. She is interested in better understanding what frequently used tests measure, their predictive validity, and developmental and cultural considerations of tests.作者簡介(中文翻譯)
蒂莫西·Z·基思是德克薩斯大學奧斯汀分校的名譽教授。在退休之前，他是教育心理學系研究生心理學項目（現在為學校與臨床兒童心理學）的主任。他的研究專注於智力的本質和測量，包括智力測試的有效性及其所依據的理論。
馬修·R·雷諾茲是堪薩斯大學的教育心理學教授。他的研究專注於人類認知能力的測量和結構，以及性別在認知能力和學業成就上的差異。雅克琳·M·卡梅勒是康涅狄格大學教育心理學系（學校心理學研究生項目）的助理教授。她的研究興趣在於心理評估和有效性問題。她希望更好地理解常用測試所測量的內容、其預測有效性，以及測試的發展和文化考量。
