我如何解释r中多元相关的结果？

Question

我使用polyserial()函数来关联分类变量和连续变量。这是我的R代码和结果。

polyserial(segdata$IDT000003, segdata$CA0000801,ML = FALSE, std.err = FALSE)
[1] 0.2017285
polyserial(segdata$IDT000003, segdata$CA0000801,ML = TRUE, std.err = FALSE)
[1] 0.2581445
polyserial(segdata$IDT000003, segdata$CA0000801,ML = FALSE, std.err = TRUE)

Polyserial Correlation, 2-step est. = 0.2558 (0.01231)
Test of bivariate normality: Chisquare = 9924, df = 5, p = 0

polyserial(segdata$IDT000003, segdata$CA0000801,ML = TRUE, std.err = TRUE)

Polyserial Correlation, ML est. = 0.2581 (0.01272)
Test of bivariate normality: Chisquare = 9720, df = 5, p = 0

                 1
Threshold -1.76500
Std.Err.   0.01041

我想知道ML和std.err中TRUE和FALSE之间的区别是什么。我无法在帮助中知道（多义词）。解释很差......

感谢您对结果的解释。