Hypothesis test
混合方差分析
混合方差分析是一种参数因子方差分析，它同时检验至少一个被试间因素和一个被组内（重复测量）因素。它源于R. A. Fisher于1925年正式化的方差分析框架，是实验设计和纵向设计中测量不同组在多个时间点或条件下的标准方法。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). SAGE. ISBN: 978-1526419521
如何引用本页
ScholarGate. (2026, June 1). Mixed Between-Within Subjects Analysis of Variance. ScholarGate. https://scholargate.app/zh/statistics/mixed-anova
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 协方差分析 (ANCOVA)统计学↔ compare
- 多元方差分析 (MANOVA)统计学↔ compare
- 单因素方差分析统计学↔ compare
- 配对样本 t 检验统计学↔ compare
- 重复测量方差分析统计学↔ compare
- 双向方差分析（Two-Way ANOVA）统计学↔ compare