Multivariate Analysis for the Behavioral Sciences, Second Edition
暫譯: 行為科學的多變量分析（第二版）
Vehkalahti, Kimmo, Everitt, Brian S.
- 出版商: CRC
- 出版日期: 2020-09-30
- 售價: $2,470
- 貴賓價: 9.5 折 $2,347
- 語言: 英文
- 頁數: 438
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0367656752
- ISBN-13: 9780367656751
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商品描述
Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists. Assuming some familiarity with introductory statistics, the book begins by briefly describing a variety of study designs used in the behavioral sciences, and the concept of models for data analysis. The contentious issues of p-values and confidence intervals are also discussed in the introductory chapter.
After describing graphical methods, the book covers regression methods, including simple linear regression, multiple regression, locally weighted regression, generalized linear models, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven chapters deal with multivariate analysis, including principal components analysis, factor analysis, multidimensional scaling, correspondence analysis, and cluster analysis.
Features:
- Presents an accessible introduction to multivariate analysis for behavioral scientists
- Contains a large number of real data sets, including cognitive behavioral therapy, crime rates, and drug usage
- Includes nearly 100 exercises for course use or self-study
- Supplemented by a GitHub repository with all datasets and R code for the examples and exercises
- Theoretical details are separated from the main body of the text
- Suitable for anyone working in the behavioral sciences with a basic grasp of statistics
商品描述(中文翻譯)
《行為科學的多變量分析（第二版）》旨在展示各種統計方法如何用於分析心理學家和其他行為科學家收集的數據。假設讀者對入門統計學有一定的了解，本書首先簡要描述了行為科學中使用的各種研究設計，以及數據分析模型的概念。引言章節中還討論了
-值和信賴區間的爭議性問題。
在描述圖形方法後，本書涵蓋了回歸方法，包括簡單線性回歸、多元回歸、局部加權回歸、廣義線性模型、邏輯回歸和生存分析。接下來的章節涵蓋了縱向數據和缺失值，最後七個章節則處理多變量分析，包括主成分分析、因子分析、多維尺度分析、對應分析和聚類分析。
特色：
- 為行為科學家提供易於理解的多變量分析入門
- 包含大量真實數據集，包括認知行為療法、犯罪率和藥物使用情況
- 包括近100個練習題，適用於課程使用或自學
- 附有GitHub 資源庫，提供所有數據集和示例及練習的 R 代碼
- 理論細節與正文分開
- 適合對統計學有基本了解的行為科學工作者
作者簡介
Kimmo Vehkalahti is a fellow of the Teachers' Academy, University of Helsinki, Finland. He has been a part of the faculty of Social Sciences for over 25 years, currently as senior lecturer of the Social Data Science in the Centre for Research Methods. He is author of a Finnish textbook on measurement and survey methods. The present book is his first international textbook on statistics. His research and teaching activities are related to open data science, multivariate analysis, and introductory statistics. His spare time is divided (unequally) between jogging and trail running, reading, watching ice hockey, holidays with his wife, and singing tenor in choir.
Brian S. Everitt is professor emeritus, King's College, London, UK. He worked at the Institute of Psychiatry, University of London for over 35 years, finally as head of the Biostatistics and Computing Department and professor of behavioural statistics. He is author or co-author of over 70 books on statistics and approximately 100 papers and other articles, and was a section editor for the Encyclopedia of Biostatistics, published by Wiley. In retirement, he divides his time between working as editor-in-chief of Statistical Methods in Medical Research, playing tennis, watching cricket, long walking holidays with his wife, and playing classical guitar in private.
作者簡介(中文翻譯)
金莫·維卡拉赫提是芬蘭赫爾辛基大學教師學院的研究員。他在社會科學學院任教超過25年，目前擔任研究方法中心的社會數據科學高級講師。他是一本有關測量和調查方法的芬蘭教科書的作者。本書是他第一本國際統計學教科書。他的研究和教學活動與開放數據科學、多變量分析和入門統計學有關。他的空閒時間（不均等地）分配在慢跑和越野跑、閱讀、觀看冰球、與妻子度假以及在合唱團中唱男高音。
布萊恩·S·埃弗里特是英國倫敦國王學院的名譽教授。他在倫敦大學精神病學研究所工作超過35年，最終擔任生物統計學與計算部門的負責人及行為統計學教授。他是超過70本統計學書籍的作者或合著者，以及約100篇論文和其他文章的作者，並曾擔任由Wiley出版的《生物統計學百科全書》的部分編輯。在退休後，他將時間分配在擔任《醫學研究中的統計方法》主編、打網球、觀看板球、與妻子一起長途步行度假，以及在私下彈奏古典吉他。
