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 [2023/03/28 12:13] – yunyuqu | 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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| - __误差方差df = （N-k） -（n-1）= N-k-n+1__ | - __误差方差df = （N-k） -（n-1）= N-k-n+1__ | ||
| + | ====Variance decomposition of repeated measurement analysis of variance==== | ||
| + | * SS of population = SS between Groups + SS within Groups = SS between Groups + SS between Subjects + SS Error | ||
| + | * {{: | ||
| + | * | ||
| + | * | ||
| + | * | ||
| + | * | ||
| + | * | ||
| + | * | ||
| + | * 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** | ||
| + | * {{: | ||
| + | * {{: | ||
| + | * {{: | ||
| + | * {{: | ||
| + | * {{: | ||
| + | ---- | ||
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| + | **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.1680005584.txt.gz · 最后更改: 2023/03/28 12:13 由 yunyuqu