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Factor analysis

Written by Ronny Gunnarssonand first published September 25, 2015. Last revised March 1, 2019.

(Under construction)

Exploratory factor analysis (EFA) tries to identify factors not directly observed that may explain variation in several underlying directly measured observations / items. EFA may use techniques such as principal component analysis (PCA). Confirmatory factor analysis (CFA) tries to confirm that a hypothesized factor is correlated to underlying observations / items. CFA may use techniques such as structural equation modeling.

Introduction to Structural Equation Modelling by Nick Shryane.

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