The fundamental aim of principal component analysis and factor analysis is to reduce the factors so that the model is simplified, but what is the process called?
A) Extraction
B) Interaction
C) Separation
D) Integration

Question

Quizplus · Accepted Answer

The process of reducing the factors in principal component analysis and factor analysis is called extraction. This involves identifying the underlying variables or dimensions that are responsible for the observed variability in the data and representing them in a simplified form. The aim is to identify the key factors that explain most of the variance in the data while minimizing the number of variables needed.

The Fundamental Aim of Principal Component Analysis and Factor Analysis