Howtosignalprocessing
The structure matrix holds the correlations between the variables and the factors. Interpretation of a set of oblique factors involves both the pattern and structure matrices, as well as the factor correlation matrix. The latter matrix contains the correlations among all pairs of factors in the solution.
- What does the pattern matrix show?
- What is component matrix in factor analysis?
- What is factor matrix?
- How to interpret factor analysis in SPSS?
What does the pattern matrix show?
Pattern Matrix & Structure/Factor Matrix
These provide useful information on the factor loadings of the items. The pattern matrix shows the unique contribution of a variable to a factor, and is generally simpler to interpret.
What is component matrix in factor analysis?
Component Matrix – This table contains component loadings, which are the correlations between the variable and the component. Because these are correlations, possible values range from -1 to +1.
What is factor matrix?
The factor structure matrix represents the correlations between the variables and the factors. The factor pattern matrix contain the coefficients for the linear combination of the variables.
How to interpret factor analysis in SPSS?
Total variance explained. Eigenvalue actually reflects the number of extracted factors whose sum should be equal to the number of items that are subjected to factor analysis. The next item shows all the factors extractable from the analysis along with their eigenvalues.
