Hypothesis test
双向方差分析（Two-Way ANOVA）
双向方差分析（Two-Way ANOVA）是一种参数假设检验，它同时检验两个独立分类因子（independent categorical factors）的主效应（main effects）及其交互效应（interaction effect）对单个连续因变量（continuous dependent variable）的影响。该技术是在Ronald A. Fisher于1925年建立的方差分析（analysis of variance）的更广泛框架内发展起来的，并且在实验或调查包含恰好两个被试间因子（between-subjects factors）时，它仍然是标准方法。
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来源
- Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478
如何引用本页
ScholarGate. (2026, June 1). Two-Way Analysis of Variance. ScholarGate. https://scholargate.app/zh/statistics/two-way-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
- Kruskal-Wallis H检验统计学↔ compare
- 多元方差分析 (MANOVA)统计学↔ compare
- 单因素方差分析统计学↔ compare
- 重复测量方差分析统计学↔ compare
- Welch方差分析统计学↔ compare