本章概览 (Guide)：

• 当对两个自变量（喝咖啡的时间、喝咖啡的量）进行分析时，两个因素的各个水平彼此相互组合，形成多种处理方式。这种设计不仅能够在复杂情境中检验不同自变量对于因变量的作用，还能够帮助我们发现众多自变量之间的相互影响。本章，我们将用二因素ANOVA进行统计。
  When analyzing two independent variables (time and amount of coffee consumed), the various levels of the two factors are combined with each other to form multiple treatment methods. This design can not only test the effects of different independent variables on the dependent variable in complex situations, but also help us discover the mutual influence between numerous independent variables. In this chapter, we will use two-way ANOVA for statistics.

学习要点 (Learning Point)：

1. 了解二因素ANOVA的主效应、交互效应的概念
   Understand the concepts of the main and interactive effects of two-way ANOVA
2. 掌握二因素ANOVA的主效应与交互效应的类型
   Master the types of main and interactive effects of two-way ANOVA
3. 掌握二因素ANOVA的分析过程
   Master the analysis process of two-way ANOVA
4. 利用简单主效应、事后检验解释二因素ANOVA的结果
   Using simple main effects and post hoc tests to explain the results of two-way ANOVA
5. 了解量表衰减效应的相关概念
   Understand the relevant concepts of scale attenuation effect

目录

• 二因素ANOVA的主效应和交互效应的概念 (The Concept of Main and Interaction Effects of Two Factor ANOVA)
• 二因素ANOVA的主效应和交互效应的类型 (The Type of Main and Interaction Effects of Two Factor ANOVA)
• 二因素ANOVA的方差分解 (Variance decomposition of two-way ANOVA)
• 二因素ANOVA的统计过程 (The Statistical Process of two-way ANOVA)
• 简单主效应 (Simple main effect)
• 量表衰减效应 (Scale attenuation effect)

作业

• 作业2023 (Homework2023)
• 作业2024 (Homework2024)