A Step-by-Step Approach to Using SAS® for Univariate & Multivariate Statistics, Second Edition

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Introduction: The Basics of Principal Component Analysis		430
	A Variable Reduction Procedure	430
	An Illustration of Variable Redundancy	431
	What Is a Principal Component?	433
	Principal Component Analysis Is Not Factor Analysis	436
Example: Analysis of the Prosocial Orientation Inventory		438
	Preparing a Multiple-Item Instrument	439
	Number of Items per Component	439
	Minimally Adequate Sample Size	440
SAS Program and Output		441
	Writing the SAS Program	441
	Results from the Output	444
Steps in Conducting Principal Component Analysis		449
	Step 1: Initial Extraction of the Components	449
	Step 2: Determining How Many “Meaningful” Components to Retain	449
	Step 3: Rotation to a Final Solution	455
	Step 4: Interpreting the Rotated Solution

A Step-by-Step Approach to Using SAS® for Univariate & Multivariate Statistics, Second Edition by Norm O'Rourke, Larry Hatcher, Edward J. Stepanksi Ph.d.

15. Principal Component Analysis

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