Usporedba analize glavnih komponenti i faktorske analize

Abstract

Ove se tehnike obično koriste za analizu skupine koreliranih varijabli. Analiza glavnih komponenti i faktorska analiza koristite se za svođenje brojnih varijabli na nekoliko faktora. Razlika između ova dva pristupa ima veze s varijancom koja se analizira. Kod PCA, analiziraju se sve promatrane varijance, dok se faktorskom analizom analizira samo zajednička varijanca.These techniques are typically used to analyze groups of correlated variables. Principal components analysis and factor are used for reducing the number of variables on several factors. The difference between these two approaches has to do with the variance that is analyzed. In PCA, all of the observed variance is analyzed, while in factor analysis it is only the shared variances that is analyzed