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====重复测量方差分析的方差分解====
  * SS总和 = SS组间 +__ SS组内__ = SS组间 +__ SS被试间 + SS误差__
  * {{:repeated.png?400 |}}
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  * 注：重复测量方差分析中，由于不考虑被试间的变异性（即个体差异），所以SS组内只需考虑SS误差

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**和方的计算公式**
  * {{:ss和重复.png?150 |}}
  * {{:ss组间重复.png?220 |}}
  * {{:ss组内重复.png?100 |}}
  * {{:ss被试间.png?200 |}}
  * {{:ss误差.png?200 |}}

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**自由度**
  * 共有5个自由度, 2个计算均方时要用到
  - 总的 df = N-1
  - __组间方差df = k-1__
  - 组内方差df = N-k
  - 被试间方差df = 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
  * {{:repeated.png?400 |}}
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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.

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**The calculation formula for sum of squares**
  * {{:ss和重复.png?150 |}}
  * {{:ss组间重复.png?220 |}}
  * {{:ss组内重复.png?100 |}}
  * {{:ss被试间.png?200 |}}
  * {{:ss误差.png?200 |}}
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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__