Why is there different factor loadings between fa() and factanal() functions in R, with promax rotation
I have to perform a factor analysis. My data is a questionnaire with same answers possible for each question, so no scale problem.
I tried to use factanal()
from base R and fa()
from the psych
package.
Why is there differences between fa() and factanal() functions in R, with promax rotation
I have to perform a factor analysis. My data is a questionnaire with same answers possible for each question, so no scale problem.
I tried to use factanal()
from base R and fa()
from the psych
package.
factor analysis for mixed data using psych in R
I have a question. I have a mixed type of data (contninous and ordinal (binary and with more than three categories) and I checked the new version of psych and now allows to select among different correlation matrices and you can especify correlation as mixed and it will compute continous with Pearson and polychoric for ordinal with more than 2 categories or tetrachoric for the dichotomous version.