Factor analysis in R

Question

I'm trying to understand FA better, hope you can take a look at this, my biggest problem is how to interpret the FA model in R.

My results look like this: What values ​​should I look at in my results and what is a good indicator of FA analysis?

Call:
factanal(x = m2, factors = 2)

Uniquenesses:
v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12
0.005 0.324 0.344 0.092 0.084 0.128 0.271 0.272 0.398 0.384 0.540 0.472

Loadings:
Factor1 Factor2
v1 0.847 0.527
v2 0.818
v3 0.733 0.344
v4 0.938 0.169
v5 0.949 0.125
v6 0.825 0.437
v7 0.701 0.488
v8 0.646 0.557
v9 0.467 0.619
v10 0.665 0.417
v11 0.525 0.429
v12 0.581 0.436

Factor1 Factor2
SS loadings 5.905 2.780
Proportion Var 0.492 0.232
Cumulative Var 0.492 0.724

Test of the hypothesis that 2 factors are sufficient.
The chi square statistic is 410.82 on 43 degrees of freedom.
The p-value is 1.59e-61

Answer 1

I published an exemplary factor analysis in R , examining the factor structure of a personality test. It shows how to extract some of the general information that you might need (for example, generalities, tests for the number of factors, variance due to factors, rotations, etc.)

Answer 2

, FA , ( ). , ( ...), p-!