Factor Analysis - Statistical Intro 2 - Estimation: PCA and ML

FA & SEM Playlist: https://shorturl.at/jrxGI Factor Analysis is a dimensionality reduction method which is used to explain high dimensional data using a simpler model. In this video we are going to look at how to estimate the L (pattern matrix, coefficients matrix), Ψ (specific variances) and F (the factor scores), using PCA and Maximum Likelihood Become a member! https://meerkatstatistics.com/courses/ * 🎉 Special YouTube 60% Discount on Yearly Plan – valid for the 1st 100 subscribers; Voucher code: First100 🎉 * Why become a member? * All video content * Extra material on complete-courses (notebooks) * Access to code and notes * Community Discussion * No Ads * Support the Creator ❤️ If you’re looking for statistical consultation, work on interesting projects, or training workshop, visit my website https://meerkatstatistics.com/ or contact me directly at [email protected] ~~~~~ SUPPORT ~~~~~ Paypal me: https://paypal.me/MeerkatStatistics ~~~~~~~~~~~~~~~~~