《应用多元统计概念》，第2版

English | 2025 | ISBN: 103227607X | 877 Pages | True PDF | 182 MB

This second edition of Applied Multivariate Statistical Concepts covers the classic and cutting-edge multivariate techniques used in today’s research.

Through clear writing and engaging pedagogy and examples using real data, Hahs-Vaughn walks students through the most used methods to learn why and how to apply each technique. A conceptual approach with a higher than usual text-to-formula ratio helps readers master key concepts so they can implement and interpret results generated by today’s sophisticated software. Additional features include examples using real data from the social sciences; templates for writing research questions and results that provide manuscript-ready models; step-by-step instructions on using R and SPSS statistical software with screenshots and annotated output; clear coverage of assumptions, including how to test them and the effects of their violation; and conceptual, computational, and interpretative example problems that mirror the real-world problems students encounter in their studies and careers. This edition features expanded coverage of topics, such as propensity score analysis, path analysis and confirmatory factor analysis, and centering, moderation effects, and power as related to multilevel modelling. New topics are introduced, such as addressing missing data and latent class analysis, while each chapter features an introduction to using R statistical software. This textbook is ideal for courses on multivariate statistics/analysis/design, advanced statistics, and quantitative techniques, as well as for graduate students broadly in social sciences, education, and behavioral sciences. It also appeals to researchers with no training in multivariate methods.

这本《应用多元统计概念》的第二版涵盖了当今研究中常用的经典和前沿的多元技术。 通过清晰易懂的文字、生动有趣的教学内容以及使用真实数据的例子，哈斯-瓦苏恩带领学生学习每种方法的应用原因与过程。本书采用了高于常规的教学法，结合了更多的理论知识，以便学生们能够理解和运用最新软件生成的结果。此外还有利用真实社会科学领域数据的示例；研究问题和结果撰写模板，提供了可供参考的样本模型；详细解释R和SPSS统计软件的操作步骤及其输出屏幕截图与标注输出；对多项假设进行详细说明以及如何检验它们，并探讨其违反的影响；还包括了模拟实际世界中的复杂问题（学生在学术或职业生涯中可能遇到的问题）的示例性问题，这些问题是按照理论、计算和解释三个方面的内容编写的。该版新增了关于倾向评分分析、路径分析与确认因素分析、中心化效果以及多层级模型等主题的内容；引入了应对缺失数据和潜类别分析的新话题，并且每个章节都详细介绍了如何利用R统计软件。本书适合各类需要学习多元统计课程的研究生，尤其是社会学、教育学及行为科学领域的学生使用。此外也适用于无多元方法训练背景的研究人员阅读。

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