In factor analysis,the _______________ represents how much variance a factor explains relative to how much it would be expected to explain by chance alone,that is,on the average.
A) principal component
B) factor loading
C) eigenvalue
D) correlation matrix

Question

Quizplus · Accepted Answer

By definition,the eigenvalue represents how much of the total variance is explained by a factor relative to the average.

In Factor Analysis,the _______________ Represents How Much Variance a Factor