Designing Experiments and Analyzing Data: A Model Comparison Perspective
暫譯: 實驗設計與資料分析：模型比較觀點
Maxwell, Scott E., Delaney, Harold D., Kelley, Ken
- 出版商: Routledge
- 出版日期: 2026-10-07
- 售價: $4,920
- 貴賓價: 9.5 折 $4,674
- 語言: 英文
- 頁數: 1032
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1041253842
- ISBN-13: 9781041253846
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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
Winner of the American Psychological Foundation's Roger E. Kirk Division 5 Award!
Designing Experiments and Analyzing Data: A Model Comparison Perspective (Fourth edition) is an updated version of the award-winning text that has influenced the social sciences for more than a generation. Its third edition won the Barbara Byrne Award for Outstanding Book or Edited Volume (Society of Multivariate Experimental Psychology, 2022), and this edition won the Roger E. Kirk Authors of the Year Award (American Psychological Foundation, 2026). Maxwell, Delaney, and Kelley first apply fundamental principles to simple experimental designs followed by an application of the same principles to more complicated designs. Their integrative conceptual framework better prepares readers to understand the logic behind a general strategy of data analysis that is appropriate for a wide variety of designs, which allows for the introduction of more complex topics that are generally omitted from other books. Numerous pedagogical features further facilitate understanding: examples of published research demonstrate the applicability of each chapter's content; flowcharts assist in choosing the most appropriate procedure; end-of-chapter lists of important formulas highlight key ideas and assist readers in locating the initial presentation of equations; useful programming code and tips are provided throughout the book and in associated resources available at DesigningExperiments.com; and extensive exercises help develop a deeper understanding of the topics. Detailed solutions for some of the exercises and realistic datasets are included on their website, DesigningExperiments.com. The pedagogical approach used throughout the book enables readers to gain an overview of experimental design, from conceptualization of the research question to analysis of the data. The book and its companion website with web apps, tutorials, and detailed code are ideal for students and researchers seeking the optimal way to design their studies and analyze the resulting data.
商品描述(中文翻譯)
美國心理學基金會 Roger E. Kirk Division 5 Award 得主！
《Designing Experiments and Analyzing Data: A Model Comparison Perspective》（第四版）是這部得獎著作的更新版本；這本書在超過一個世代的時間裡，持續影響著社會科學領域。第三版榮獲 Barbara Byrne Award for Outstanding Book or Edited Volume（Society of Multivariate Experimental Psychology，2022），本版則榮獲 Roger E. Kirk Authors of the Year Award（American Psychological Foundation，2026）。
Maxwell、Delaney 與 Kelley 首先將基本原則應用於簡單的實驗設計，接著再將相同原則應用於更複雜的設計。他們所建立的整合性概念架構，能讓讀者更充分理解適用於各種設計的資料分析通用策略及其背後邏輯，並進一步介紹其他書籍通常省略的複雜主題。
書中豐富的教學特色進一步幫助讀者理解內容：已發表研究的範例展示各章內容的適用性；流程圖協助讀者選擇最適當的程序；每章末尾的重要公式列表凸顯關鍵概念，並協助讀者找到方程式最初介紹的位置；全書及 DesigningExperiments.com 提供的相關資源中，均收錄實用的程式碼與技巧；大量練習題則協助讀者深化對各項主題的理解。部分練習題的詳細解答，以及具真實性的資料集，也收錄於 DesigningExperiments.com 網站。
全書採用的教學方法，讓讀者能全面掌握實驗設計的整體流程，從研究問題的概念化到資料分析皆涵蓋其中。本書及其配套網站所提供的網頁應用程式、教學資源與詳細程式碼，非常適合希望以最佳方式設計研究並分析所得資料的學生與研究人員。
作者簡介
Scott E. Maxwell is the Fitzsimons Professor of Psychology Emeritus at the University of Notre Dame. His research interests are in the areas of research methodology and applied behavioral statistics, with much of his recent work focusing on statistical power and accuracy in parameter estimation, especially in randomized designs. He has served as editor of Psychological Methods; received the Samuel J. Messick Award for Distinguished Scientific Contributions by the American Psychological Association's Division of Evaluation, Measurement, and Statistics; the Saul B. Sells Award for Distinguished Multivariate Research from the Society of Multivariate Experimental Psychology; and has received multiple teaching awards, including the Jacob Cohen Distinguished Contributions to Teaching and Mentoring Award from the American Psychological Association. Maxwell is a fellow of the American Psychological Association, a fellow of the Association for Psychological Science, and an elected member of the Society of Multivariate Experimental Psychology.
Harold D. Delaney is Emeritus Professor of Psychology at the University of New Mexico, where he received the university's Outstanding Graduate Teacher of the Year award. His research interests in applied statistics include methods that accommodate individual differences among people. He received a Fulbright Award from the U.S. Department of State to spend an academic year lecturing at Eötvös Loránd University in Budapest, Hungary, and in recent years he has offered courses through the Institute of Psychology of Károli Gáspár University in Budapest.
Ken Kelley is the Edward F. Sorin Society Professor of Information Technology, Analytics, and Operations in the Mendoza College of Business at the University of Notre Dame with a concurrent (courtesy) appointment in the Department of Psychology. Kelley is co-founder and co-director of the Human-centered Analytics Lab (HAL), an interdisciplinary research lab that examines the interaction of people and technology to better understand the human condition in our increasingly digital world. His work focuses on the development, improvement, and evaluation of statistical methods and measurement in the context of human-centered research. He is an Accredited Professional Statistician (PStat(R)); a recipient of the Anne Anastasi Early Career Award by the American Psychological Association's Division of Evaluation, Measurement, and Statistics; a fellow of the American Psychological Association; a fellow of the Association for Psychological Science; and an elected member of the Society of Multivariate Experimental Psychology.
作者簡介(中文翻譯)
Scott E. Maxwell 是 Notre Dame 大學 Fitzsimons 榮譽退休心理學教授。他的研究興趣涵蓋研究方法與應用行為統計，近年的許多研究聚焦於統計檢定力與參數估計的準確性，尤其是隨機化設計。他曾擔任《Psychological Methods》期刊主編；曾獲得 American Psychological Association 評估、測量與統計部門頒發的 Samuel J. Messick 傑出科學貢獻獎、Society of Multivariate Experimental Psychology 頒發的 Saul B. Sells 傑出多變量研究獎，以及多項教學獎項，其中包括 American Psychological Association 頒發的 Jacob Cohen 傑出教學與指導貢獻獎。Maxwell 是 American Psychological Association 會士、Association for Psychological Science 會士，也是 Society of Multivariate Experimental Psychology 的當選會員。
Harold D. Delaney 是 New Mexico 大學榮譽退休心理學教授，並曾獲該校頒發年度傑出研究所教師獎。他在應用統計領域的研究興趣包括能夠處理個體間差異的方法。他曾獲得美國國務院頒發的 Fulbright Award，前往匈牙利布達佩斯的 Eötvös Loránd University 授課一學年；近年來，他也透過布達佩斯 Károli Gáspár University 的心理學研究所開設課程。
Ken Kelley 是 Notre Dame 大學 Mendoza College of Business 的 Edward F. Sorin Society 資訊科技、分析與營運教授，同時兼任該校心理學系教授。Kelley 是 Human-centered Analytics Lab（HAL）的共同創辦人兼共同主任。HAL 是一所跨學科研究實驗室，探討人與科技之間的互動，以更深入了解日益數位化世界中的人類處境。他的研究著重於以人為本的研究脈絡中，統計方法與測量方法的發展、改進與評估。他是 Accredited Professional Statistician（PStat(R)）；曾獲得 American Psychological Association 評估、測量與統計部門頒發的 Anne Anastasi Early Career Award；也是 American Psychological Association 會士、Association for Psychological Science 會士，以及 Society of Multivariate Experimental Psychology 的當選會員。
