Multivariate Data Analysis (Hair et al.) is the most popular book cited in marketing papers. However, I found it hard for me to understand. I have learned basic marketing research in my undergraduate course (like using SPSS to do t-test, ANOVA, and regression). I don't have other mathematics training.
Now I'm learning this book by myself for a thesis. I can't find any video courses online using this book. I can only read this book bit by bit, and I'm reading it very slowly (three days for half a chapter). The mainly painful issue is many things I don't understand and I often become distracted.
So what are the knowledge/books needed before learning the Multivariate Data Analysis book by Hair et al? The most useful parts for me are MANOVA and SEM. Is there anything I can skip in this book, or any order I should follow (my experience is I started with MANOVA, and found it discussed a lot on discriminant analysis, so I went back to read discriminant analysis...but still feel confused sometimes...)?