相关样本t检验统计量
目录
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
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