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相关样本t检验统计量

相关样本的意义 The significance of the relevant test

  • 被试内设计,两组数据不存在组间差异
  • Within subjects design has no difference between the two groups of data
  • 匹配组t-test是有一个或若干个特征使得被试内两两建立联系,这种联系时实验前建立的,分析数据时已匹配成对
  • The matching group t-test has one or more characteristics that make the participants establish a relationship between two pairs, and this connection is established before the experiment and matched in pairs when the data is analyzed.
  • 匹配能大大减少个体间的误差,提高统计效力
  • Matching can greatly reduce the error between individuals and improve the statistical efficiency.

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相关样本t检验的逻辑 The basic logic of revelent sample t-test

  • 相关样本t统计量的计算基于样本分数的差异,每一对对应数据的差异D构成了一个差异样本
  • The calculation of the t-statistic of the relevant samples is based on the difference in the sample scores, and the difference D of each pair of corresponding data constitutes a difference sample.
  • 平均数D=X1-X2
  • 方差

相关样本t的计算 The calculation of relevent sample t-statistics


相关样本t检验的统计前提 Statistical premise of the t-test of relevant samples

  • 在每一种处理条件内,观察都彼此独立
  • Within each treatment condition, the observations are independent of each other
  • 差异分数的总体分布是正态的
  • The overall distribution of difference scores is normal
  • 不需要考虑方差同质性
  • Variance homogeneity does not need to be considered

相关样本t检验的效应大小 Effect size of relevent sample t-test

  • 效应大小=差异样本均值/差异样本方差
  • Effect size = difference sample mean/difference sample variance
相关样本t检验统计量.txt · 最后更改: 2024/03/22 15:25 由 fairytaleee