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JMP for Basic Univariate and Multivariate Statistics, 2nd Edition by R. D. Psych. Norm O'Rourke, Ph. D. Larry Hatcher, Ph. D. Edward J. Stepanski, Ann Lehman

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Principal Component Analysis

Overview

This chapter provides an introduction to principal component analysis, which is a variable-reduction procedure similar to factor analysis. It provides guidelines regarding the necessary sample size and number of items per component. It shows how to determine the number of components to retain, interpret the rotated solution, create factor scores, and summarize the results. Fictitious data are analyzed to illustrate these procedures. This chapter deals only with the creation of orthogonal (uncorrelated) components.

Overview

Introduction to Principal Component Analysis

A Variable Reduction Procedure

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