The inconsistent results of Bayesian analysis and the classical frequentist analysis
I am new for Bayesian analysis. When I analyze the data in JASP, the results of one classical ANOVA analysis revealed a significant interaction effect, while the Bayes factor for the interaction effect is quite small (F(1, 34) = 7.869, p = .008, ηp2 = .188, BF10 = 1.977). Also, another classical ANOVA analysis revealed no significant main effect, but the Bayes factor is even bigger than the previous one (F (1.63, 55.26) = 3.251, p = .056, ηp2 = .087, BF10 = 2.848). I have learned that Bayesian analysis is more conservative, so the "significant " results in classical ANOVA might have no strong evidence in Bayesian analysis. But I feel confusing that why a relatively small p value (.008) can coincide with a low BF value (BF10 = 1.977) while a relatively bigger p value (.056) can coincide with a bigger BF value (BF10 = 2.848)?