本章概览 (Guide)：

• 在进行被试内设计实验后，如果实验前后有多于两组数据，那么在数据分析时我们需要运用重复测量方差分析的统计手段。与独立组ANOVA相比，不同点在于SS组内可以进一步分解为SS被试间+SS误差。通过比较Fobs与Fcrit的大小，可以判断实验前后有无显著差别。如果有显著差别，可以进一步进行事后检验，并计算效应。
  After conducting the subject design experiment, if there are more than two sets of data before and after the experiment, we need to use the statistical method of repeated measures analysis of variance in data analysis. Compared with the independent group ANOVA, the difference is that within the SS group, it can be further decomposed into SS inter subject+SS error. By comparing the size of Fobs and Fcrit, it is possible to determine whether there is a significant difference before and after the experiment. If there is a significant difference, further post hoc testing can be conducted and the effect can be calculated.

学习要点 (Learning Points)：

1. 区分独立组ANOVA与重复测量ANOVA
   Distinguishing between independent group ANOVA and repeated measurement ANOVA
2. 理解重复测量ANOVA的方差分解
   Understanding the variance decomposition of repeated measurement ANOVA
3. 学会计算F值并利用F检验完成重复测量ANOVA
   Learn how to calculate F-value and use F-test to complete repeated measurement ANOVA
4. 掌握重复测量ANOVA事后检验的方法
   Master the method of post test for repeated measurement ANOVA
5. 掌握重复测量ANOVA的统计前提
   Mastering the statistical prerequisites for repeated measurement of ANOVA
6. 学会计算重复测量ANOVA的效应值，并通过统计效力计算需要的被试数目
   Learn to calculate the effect value of repeated measurement ANOVA and calculate the required number of subjects through statistical power analysis

目录

• 重复测量方差分析适用的情境 (Situations applicable of repeated measurement ANOVA)
• 重复测量方差分析的方差分解 (Variance decomposition of repeated measurement ANOVA)
• 重复测量方差分析的F值计算 (F-value calculation for repeated measurement ANOVA)
• 重复测量方差的事后检验 (Post hoc testing of repeated measurement ANOVA)
• 重复测量方差分析的统计前提 (Statistical prerequisites for repeated measurement ANOVA)
• 重复测量方差分析的效应大小(The effect size of repeated measurement ANOVA)
• 重复测量方差分析的统计效力(The power of repeated measures ANOVA)

作业

• 2023作业
• 2024作业