Скачать или смотреть How to Explain PCA Results from SPSS in a Journal Article | Step-by-Step Academic Writing Guide

Are you confused about how to write Principal Component Analysis (PCA) results in your research paper?
In this video, I clearly explain how to interpret and write PCA results obtained from SPSS in a journal article format. This tutorial is especially helpful for MSc, PhD, and research scholars who are preparing manuscripts for publication.
In this video, you will learn:
• How to report KMO and Bartlett’s Test of Sphericity
• How to interpret eigenvalues
• How to explain total variance explained
• How to interpret scree plot
• How to report rotated component matrix
• How to explain varimax rotation
• How to write PCA results in proper academic language
I also provide practical examples using physicochemical parameters as sample data to make it easier to understand.
This video will help you improve the quality of your Results and Discussion section for journal publication.
If you are working on thesis writing, journal articles, or data analysis using SPSS, this video is for you.