做方差分析，发现齐性不一样，所以做了 welch test and brown forsythe test，但发现两个检测结果不一致，见下图Robust Tests of Equality of Means
Statistica df1 df2 Sig.
Welch 3.969 2 24.364 .032
Brown-Forsythe 3.220 2 36.148 .052
请教各位大神，这个该怎么破？
Glantz and colleagues (1) recommend using the Welch test in most situations, as it both has more power and maintains alpha at its desired level. They recommend Brown-Forsythe in one situation, when the data are skewed (not Gaussian).
你这个结构已经很稳健了，两个检验都在10%的水平下显著。产生差异的原因在于两个检验的统计量的权重设置方式不一样。通常情况下，在样本较小时，推荐使用W检验，而在非正态分布时，推荐使用B检验。参考文献：Hartung, J., Argac, D. and Makambi, KH., 2002. Small sample properties of tests on homogeneity in one-way Anova and meta-analysis. Statistical Papers., 43(2): 197-235. https://doi.org/10.1007/s00362-002-0097-8.
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