Hugo knows little about the unique and error variance and he wants to examine the original variables in terms of their common underlying dimensions. Which type of multivariate statistical technique should he use?
A) common factor analysis
B) k-means cluster analysis
C) principle components factor analysis
D) regression
E) ANOVA

Question

Quizplus · Accepted Answer

Common factor analysis is the best choice because it is designed to identify the underlying dimensions that account for the common variance among a set of variables, while controlling for unique variances. This technique allows for the reduction of data to a smaller set of factors that can explain the shared variance among the variables.

Hugo Knows Little About the Unique and Error Variance and He