Hypothesis test
结构方程模型（SEM）的功效分析
SEM及其他多元统计过程的功效分析旨在确定在有足够概率检测到特定大小的模型失配时所需的最小样本量。MacCallum、Browne和Sugawara于1996年提出的主导方法将效应量表达为近似均方根误差（RMSEA），并从非中心卡方分布推导功效。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130–149. DOI: 10.1037/1082-989X.1.2.130 ↗
如何引用本页
ScholarGate. (2026, June 1). Power Analysis for Structural Equation Modeling and Multivariate Analyses. ScholarGate. https://scholargate.app/zh/statistics/power-analysis-sem
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.
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