"Since the publication of the first edition, the authors have solicited feedback from both the instructors who use the book as a text for their courses as well as the researchers who use the book as a resource for their research. Thus, the improved Second Edition of Applied Longitudinal Analysis features many additions and revisions based on the feedback of readers, making it the go-to reference for applied use in public health, epidemiology, and pharmaceutical sciences"--
So technically I only read about 2/3 of this book since that was what was assigned for class. Its pretty difficult reading, but I still liked the approach for the most part. Even though reading it helped me realized that I don't have the data to be doing longitudinal analysis right now, it demonstrated very clearly how several other approaches (MLM, TSCS) are related to or build on the ideas and math of longitudinal. I'm definitely going to need to come back to this book to work through the math and probably use some other texts that have political science examples (since this is exclusively health sciences based), but I got more out of it on the first go round than I normally do with stats text books.