Multilevel Modeling Using R

與暢銷的前作一樣，《Multilevel Modeling Using R, Third Edition》為讀者提供了一個有用的指南，以在R軟體環境中進行多層次資料建模。

Holmes Finch is a Professor in the Department of Educational Psychology at Ball State University where he has been since 2003. He received his PhD from the University of South Carolina in 2002. Dr. Finch teaches courses in factor analysis, structural equation modeling, categorical data analysis, regression, multivariate statistics and measurement to graduate students in psychology and education. His research interests are in the areas of multilevel models, latent variable modeling, methods of prediction and classification, and nonparametric multivariate statistics. Holmes is also an Accredited Professional Statistician (PStat (R)).

Jocelyn Bolin received her PhD in Educational Psychology from Indiana University Bloomington in 2009. Her dissertation consisted a comparison of statistical classification analyses under situations of training data misclassification. She is now an Assistant Professor in the Department of Educational Psychology at Ball State University where she has been since 2010. Dr. Bolin teaches courses on introductory and intermediate statistics, multiple regression analysis and multilevel modeling for graduate students in social science disciplines. Her research interests include statistical methods for classification and clustering and use of multilevel modeling in the social sciences. She is a member of the American Psychological Association, the American Educational Research Association and the American Statistical Association. Jocelyn is also an Accredited Professional Statistician (PStat (R)).

Ken Kelley is the Edward F. Sorin Society Professor of IT, Analytics, and Operations (ITAO) and the Senior Associate Dean for Faculty and Research in the Mendoza College of Business at the University of Notre Dame. Professor Kelley is in the analytics group within the ITAO Department and works to advance analytic methods in his research in a variety of ways from a variety of perspectives to improve the methods used in human-centered research, from the foundational area of psychology to applied areas in business. His work crosses several traditional disciplinary boundaries, which he believes is important when considering various aspects of the human condition. More specifically, he evaluates, improves, and develops methods to better study human-centered research from a methodological perspective. The entire effort is in the data science space, particularly from the psychometric and statistical traditions of framing inferential questions. His most significant methodological contributions are in research design involving the interplay between effect size, confidence intervals, statistical significance, and sample size planning. My work depends heavily on statistical computing, with most of the methods I have developed implemented in R packages (e.g., MBESS, BUCCS, SMRD). In addition to methodological work, he collaborates in a variety of human-centered areas in which I develop needed or apply advanced or nonstandard methods to best address questions. Kelley is co-director of the Human-centered Analytics Lab (HAL) in the Mendoza College of Business. HAL is an interdisciplinary mash-up of technology, psychology, methodology, and business. Dr. Kelley is the developer of the MBESS package for the R statistical language and environment, an Accredited Professional Statistician (PStat (R)), and associate editor of Psychological Methods.

Holmes Finch是Ball State University教育心理學系的教授，他在該校任職自2003年以來。他於2002年從南卡羅來納大學獲得博士學位。Finch博士教授心理學和教育學研究生的因素分析、結構方程模型、類別數據分析、回歸、多變量統計和測量等課程。他的研究興趣包括多層次模型、潛在變量建模、預測和分類方法以及非參數多變量統計。Holmes還是一位獲得認證的專業統計學家（PStat（R））。

Jocelyn Bolin於2009年從印第安納大學布魯明頓分校獲得教育心理學博士學位。她的博士論文比較了在訓練數據錯誤分類情況下的統計分類分析。她現在是Ball State University教育心理學系的助理教授，自2010年以來一直在該校任職。Bolin博士為社會科學學科的研究生教授入門和中級統計學、多元回歸分析和多層次模型等課程。她的研究興趣包括分類和聚類的統計方法以及社會科學中的多層次建模。她是美國心理學會、美國教育研究協會和美國統計協會的成員。Jocelyn也是一位獲得認證的專業統計學家（PStat（R））。

Ken Kelley是聖母大學Mendoza商學院IT、分析和運營（ITAO）的Edward F. Sorin Society教授，也是教職員工和研究的高級副院長。Kelley教授屬於ITAO部門的分析小組，致力於從多個角度推進他的研究中的分析方法，以改進人類中心研究中使用的方法，從心理學的基礎領域到商業應用領域。他的工作跨越了幾個傳統學科的界限，他認為在考慮人類條件的各個方面時，這是重要的。更具體地說，他評估、改進和開發方法，以從方法論的角度更好地研究人類中心研究。整個工作主要集中在數據科學領域，特別是從心理測量和統計傳統的角度來設計推論問題。他最重要的方法論貢獻是在涉及效應大小、置信區間、統計顯著性和樣本大小計劃之間的研究設計方面。我的工作在很大程度上依賴於統計計算，我開發的大多數方法都在R語言環境中實現（例如MBESS、BUCCS、SMRD）。除了方法論工作外，他還在各種人類中心領域進行合作，其中我開發所需的或應用先進或非標準方法來最好地回答問題。Kelley是Mendoza商學院人類中心分析實驗室（HAL）的聯合主任。HAL是技術、心理學、方法論和商業的跨學科結合。Kelley博士是R統計語言和環境的MBESS套件的開發者，也是一位獲得認證的專業統計學家（PStat（R）），並擔任《心理方法》的副編輯。