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所在平台: Udemy |
课程主页: https://www.udemy.com/course/manova-spss/
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Coursera 课程：SPSS 统计/数据分析：MANOVA **课程概述：** 本课程旨在系统地讲解多元方差分析 (MANOVA) 这一在统计学中常用但常令人困惑的分析方法。MANOVA 用于检验两个或两个以上组别在两个或两个以上因变量上的差异。课程由一位在定量方法（统计学）领域的专家精心设计，他拥有成功向不同背景的研究生教授 MANOVA 的经验。本课程将带领学习者一步步地在 SPSS 软件中运行和解释多种 MANOVA 分析。 **课程内容亮点：** * **MANOVA 基础讲解：** 涵盖了 MANOVA 的核心概念、目的和应用场景。 * **SPSS 操作实操：** 提供详细的步骤指南，指导如何在 SPSS 中执行各种 MANOVA 分析。 * **多种 MANOVA 实例：** * 两组 MANOVA（也称为 Hotelling's T-Squared） * 三组 MANOVA * 三组或更多组别 MANOVA 的事后检验 (Post-Hoc Tests) * 双因素 MANOVA (Two-way MANOVA) * **协方差矩阵均等性假设：** 详细解释 MANOVA 的协方差矩阵均等性假设及其检验方法。 * **详细的结果解释：** 对每项分析的结果进行详细的、逐步的解释，包括如何评估结果的显著性，并提供针对每项分析的书面结果解读。 **目标学员：** 本课程特别适合那些对 MANOVA 感到困惑的学习者，旨在帮助他们不仅理解，甚至能享受这一分析过程。 **课程目标：** 在本课程结束后，学员将能够自信地在 SPSS 中运行和解释 MANOVA 分析，彻底告别 MANOVA 的困惑。
November, 2019.Multivariate Analysis of Variance, a popular but frequently perplexing procedure in statistics, is used to test two or more groups on two or more dependent variables. Mindful of the frustration and confusion that is often experienced with this procedure, this course was carefully designed by a specialist in quantitative methods (statistics) who has successfully taught MANOVA to graduate students from a variety of different backgrounds. Several students who thought they couldn't understand this procedure were later explaining how they not only understood it, but actually found it to be fun!Specifically, this course takes the viewer step-by-step through running and interpreting a number of different multivariate analyses of variance (MANOVA) in SPSS. Several different examples of MANOVA are covered, including: MANOVA with 2 Groups (Also Known as Hotelling's T-Squared) MANOVA with 3 Groups Post-Hoc Tests for Problems with 3 or More Groups Two-way MANOVA Equal Covariance Matrix Assumption of MANOVA Explained Step-by-Step All tests include a detailed, step-by-step explanation of results, including how to assess the results for significance, with written results provided for each test covered. Enroll today and be confused by MANOVA no longer!
