Contents
What is group factor analysis?
Factor analysis provides linear factors that describe relationships between individual variables of a data set. We extend this classical formulation into linear factors that describe relationships between groups of variables, where each group represents either a set of related variables or a data set.
What are the 2 types of factors?
Classifies factors into three main types: direct, distributed, and augmentative. Illustrates how each of these classes of factors works.
How to do a separate confirmatory factor analysis?
Separate Confirmatory Factor Analyses – Similar to the above strategy, you might try running a separate confirmatory factor analysis for each group, one for the graduate students and one for the faculty members. Again, you might try to “eyeball” the results and claim that the factor structure is similar for the two groups.
How to test group invariance with confirmatory factor?
Before we show how you can analyze this via tests of group invariance using confirmatory factor analysis, let’s consider some other methods that you might use. Exploratory Factor Analysis – You might try running an exploratory factor analysis for the graduate students and a separate exploratory factor analysis for the faculty members.
Why are multiple factor analysis used in factorial analysis?
Introducing several active groups of variables in a factorial analysis implicitly assumes a balance between these groups. This balance must take into account that a multidimensional group influences naturally more axes than a one-dimensional group does (which may not be closely related to one axis).
How to test if the factor structure is the same for graduate students?
The way to test whether the factor structure is the same for the graduate students and faculty members is by running two confirmatory factor analyses. The first analysis will assume that the factor structure is the same for the two groups, and the other analysis will assume that the factor structure is different for the two groups.