Factor Analysis - Statistical Intro 1 - Linear Model, Orthogonality

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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 into what it is, give some examples, define the theoretical linear model, and develop the orthogonal model assumptions.

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Intro/Outro Music: Dreamer - by Johny Grimes
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Correction at 4:20 - regarding the diagram: usually the observed variables are in rectangular boxes, and the latent variables / factors are in circles.

MeerkatStatistics
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Hello David. I have been watching (and applying...) your videos in my college study. However, I've mostly used snippets specific to my work (bioinformatics). But for the sake of obtaining a "complete" education with minimal gaps what order do you recommend watching the specific playlists? Also, eagerly waiting for you to drop a discount coupon on your lifetime access membership plan. Apologies for taking this long to appreciate your work. Stay awesome. 😊

siddharthyadav