How To Calculate Principal Component Analysis In Spss

Principal Component Analysis (PCA) Calculator in SPSS



Guide to Calculating Principal Component Analysis in SPSS

Introduction & Importance

Principal Component Analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a smaller number of uncorrelated variables called principal components…

How to Use This Calculator

  1. Enter the number of variables (n) and observations (p).
  2. Click the “Calculate” button.
  3. View the results below the calculator.
Detailed explanation of how to calculate Principal Component Analysis in SPSS Real-world example of PCA in SPSS

Learn more about PCA in SPSS

Explore PCA with R

Leave a Reply

Your email address will not be published. Required fields are marked *