Shapiro-Wilk normality test data: data$Direct.strategy.filled.pause.frequency W = 0.23769, p-value < 2.2e-16 > shapiro_conventional_indirect Shapiro-Wilk normality test data: data$Conventionally.indirect.strategy.filled.pause.frequency W = 0.49201, p-value < 2.2e-16 > shapiro_nonconventional_indirect Shapiro-Wilk normality test data: data$Non.conventionally.indirect.strategy.filled.pause.frequency W = 0.099932, p-value < 2.2e-16

根据你提供的信息，我们可以看到对于三个不同的变量（Direct.strategy.filled.pause.frequency, Conventionally.indirect.strategy.filled.pause.frequency, Non.conventionally.indirect.strategy.filled.pause.frequency），它们的Shapiro-Wilk正态性检验的p-value都小于2.2e-16，意味着数据不服从正态分布。这可能会影响一些假设检验和统计分析的结果，需要在使用时进行注意。