So I did a principal component analysis with Promax rotation on questionnaire data (4-step likert-type scale) and now have my rotated component matrix (5 components). KMO is >.7 and Bartlett is 0.
I want to compare my results to another study (that used the same questionnaire) in which they somehow calculated a mean value and standard deviation for each of the factors, but didn't say how they did it.
Ths may be a dumb question, but how do I calculate that factor mean and standard deviation from my factor loadings? I know that factor loadings are somewhat of an estimate for the individual factor-item-corellation, but I really don't know what to do with that information. I have been searching an answer to that for several hours but can't find a satisfying solution.
As a bonus question: I have some cross-loadings in my rotated component matrix, but those have a difference of >.2. Do I need to take those cross-loadings into account when doing whatever calculation is needed (see above)?
I want to compare my results to another study (that used the same questionnaire) in which they somehow calculated a mean value and standard deviation for each of the factors, but didn't say how they did it.
Ths may be a dumb question, but how do I calculate that factor mean and standard deviation from my factor loadings? I know that factor loadings are somewhat of an estimate for the individual factor-item-corellation, but I really don't know what to do with that information. I have been searching an answer to that for several hours but can't find a satisfying solution.
As a bonus question: I have some cross-loadings in my rotated component matrix, but those have a difference of >.2. Do I need to take those cross-loadings into account when doing whatever calculation is needed (see above)?