In factor analysis, an eigenvalue represents the
A) number of factors that should be interpreted.
B) extent to which outliers might be influencing the results.
C) amount of variance in the data accounted for by a given factor.
D) statistical significance of a given factor.

Question

Quizplus · Accepted Answer

An eigenvalue in factor analysis indicates how much of the variance in the data is explained by each factor. Higher eigenvalues indicate that the corresponding factor accounts for more of the variance in the dataset. Therefore, option C is the correct choice.

In Factor Analysis, an Eigenvalue Represents the