Advanced Statistics in Research: Reading, Understanding, and Writing Up Data Analysis Results
暫譯: 研究中的進階統計：閱讀、理解與撰寫數據分析結果
Hatcher, Larry
- 出版商: Shadow Finch Media LLC
- 出版日期: 2013-01-07
- 售價: $2,340
- 貴賓價: 9.5 折 $2,223
- 語言: 英文
- 頁數: 646
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0985867000
- ISBN-13: 9780985867003
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相關分類:
Data Science、機率統計學 Probability-and-statistics
海外代購書籍(需單獨結帳)
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商品描述
Advanced Statistics in Research: Reading, Understanding, and Writing Up Data Analysis Results is the simple, nontechnical introduction to the most complex multivariate statistics presented in empirical research articles.
wwwStatsInResearch.com, is a companion website that provides free sample chapters, exercises, and PowerPoint slides for students and teachers. A free 600-item test bank is available to instructors.
Advanced Statistics in Research does not show how to perform statistical procedures--it shows how to read, understand, and interpret them, as they are typically presented in journal articles and research reports. It demystifies the sophisticated statistics that stop most readers cold: multiple regression, logistic regression, discriminant analysis, ANOVA, ANCOVA, MANOVA, factor analysis, path analysis, structural equation modeling, meta-analysis--and more.
Advanced Statistics in Research assumes that you have never had a course in statistics. It begins at the beginning, with research design, central tendency, variability, z scores, and the normal curve. You will learn (or re-learn) the big-three results that are common to most procedures: statistical significance, confidence intervals, and effect size. Step-by-step, each chapter gently builds on earlier concepts. Matrix algebra is avoided, and complex topics are explained using simple, easy-to-understand examples.
Need help writing up your results? Advanced Statistics in Research shows how data-analysis results can be summarized in text, tables, and figures according to APA format. You will see how to present the basics (e.g., means and standard deviations) as well as the advanced (e.g., factor patterns, post-hoc tests, path models, and more).
Advanced Statistics in Research is appropriate as a textbook for graduate students and upper-level undergraduates (see supplementary materials at StatsInResearch.com). It also serves as a handy shelf reference for investigators and all consumers of research.
商品描述(中文翻譯)
《研究中的進階統計：閱讀、理解與撰寫數據分析結果》是對於在實證研究文章中呈現的最複雜多變量統計的簡單、非技術性介紹。
wwwStatsInResearch.com 是一個伴隨網站，提供免費的樣本章節、練習題和PowerPoint簡報，供學生和教師使用。教師可獲得一個免費的600題測驗題庫。
《研究中的進階統計》並不展示如何「執行」統計程序——它展示如何閱讀、理解和詮釋這些統計，正如它們通常在期刊文章和研究報告中呈現的那樣。它揭開了那些讓大多數讀者感到困惑的複雜統計的神秘面紗：多重迴歸、邏輯迴歸、判別分析、ANOVA、ANCOVA、MANOVA、因素分析、路徑分析、結構方程模型、元分析——等等。
《研究中的進階統計》假設你從未修過統計課程。它從基礎開始，涵蓋研究設計、集中趨勢、變異性、z分數和常態曲線。你將學習（或重新學習）大多數程序中常見的三個主要結果：統計顯著性、信賴區間和效應大小。每一章節逐步建立在之前的概念上，避免使用矩陣代數，並用簡單易懂的例子解釋複雜主題。
需要幫助撰寫你的結果嗎？《研究中的進階統計》展示如何根據APA格式將數據分析結果總結為文本、表格和圖形。你將看到如何呈現基本內容（例如，均值和標準差）以及進階內容（例如，因素模式、事後檢定、路徑模型等）。
《研究中的進階統計》適合作為研究生和高年級本科生的教科書（請參見StatsInResearch.com的補充材料）。它也可作為研究人員和所有研究消費者的便捷參考書。
作者簡介
作者簡介(中文翻譯)
作者。拉里·哈徹（Larry Hatcher）博士是五本教科書的作者或合著者，這些教科書展示了如何使用SAS和JMP應用程式進行統計分析。其中包括與諾姆·奧羅克（Norm O'Rourke）和愛德華·斯特潘斯基（Edward Stepanski）共同撰寫的A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics，以及廣泛引用的A Step-By-Step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling。拉里於1983年在博林格林州立大學（Bowling Green State University）獲得工業與組織心理學博士學位。他於1981年獲得博林格林州立大學的塞西爾·M·弗里伯恩（Cecil M. Freeburne）卓越教學獎，1987年被評選為溫索普大學（Winthrop University）的傑出青年教授，並於1991年因與蒂姆·羅斯（Tim Ross）共同撰寫的文章在《組織行為期刊》（Journal of Organizational Behavior）中發表而獲得最佳論文獎。目前，他是薩吉諾谷州立大學（Saginaw Valley State University）的心理學教授，教授基礎和進階統計課程。
