重复测量方差分析的方差分解
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重复测量方差分析的方差分解 [2024/04/02 03:39] – 2104龚文滕 | 重复测量方差分析的方差分解 [2024/04/07 12:57] (当前版本) – [Variance decomposition of repeated measurement analysis of variance] zwz | ||
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====Variance decomposition of repeated measurement analysis of variance==== | ====Variance decomposition of repeated measurement analysis of variance==== | ||
- | * Total SS=Between | + | * SS of population |
* {{: | * {{: | ||
* | * | ||
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* | * | ||
* | * | ||
- | * Note: In repeated measures ANOVA, since variability between subjects (i.e. individual differences) is not considered, only SS error needs to be considered within the SS group | + | * Note: In repeated measures ANOVA, since variability between subjects (i.e. individual differences) is not considered, only SS error needs to be considered within the SS group. |
+ | ---- | ||
+ | **The calculation formula for sum of squares** | ||
+ | * {{: | ||
+ | * {{: | ||
+ | * {{: | ||
+ | * {{: | ||
+ | * {{: | ||
+ | ---- | ||
+ | |||
+ | **degree of freedom** | ||
+ | * There are a total of 5 degrees of freedom, 2 of which need to be used to calculate the mean square | ||
+ | - Total df = N-1 | ||
+ | - __Between group variance df = k-1__ | ||
+ | - Within group variance df = N-k | ||
+ | - Between subject variance df = n-1 | ||
+ | - __error variance df = (N-k) -(n-1)= N-k-n+1__ |
重复测量方差分析的方差分解.1712029160.txt.gz · 最后更改: 2024/04/02 03:39 由 2104龚文滕