Mechanics of Performing Second-Order Factor Analysis
In general, second-order factor analysis
consists of analysis of correlation matrices. If you are performing
principal components analysis, you can save component scores and examine
them as variables in a second-order analysis, as only in PCA will
the component correlations and component scores match exactly (Thompson,
2004, p. 73).[4] When
using common factor analysis, we must analyze the correlation matrix.
To illustrate this methodology, we will use the engineering data that we started exploring in Chapter 2, adding a third subscale that asked eight questions about feelings of belongingness in engineering. Using iterated PAF extraction and direct oblimin rotation (as before), there were ...
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