I am doing a factor analysis on my data set (I have 85 attributes and data available for 20 participants), I have decide to use 19 attributes to cover 98 % of the variation, but my result with 19 factors made me a bit confused.
I have plot the factors diagram by using the function fa.diagram and I have noticed that there are exist some relation between my factors and I do not understand it.
Here is a picture of my factors:
And here is the code I am using:
fa<- fa(scaled,nfactors=19,rotate="promax",fm="pa" , symmetric =TRUE)
fa.diagram(fa, simple = FALSE)
Can you explain me the meaning of these loads ( ex : between PA14 and PA10 it has a load equal to 0.3 )?