Applied Linear Statistical Models
by Michael Kutner, John Neter, Christopher Nachtsheim,  & William Li

This is a textbook, through and through, but an excellent one.  It really covers just about everything in linear models (regression and anova), and it quite straightforward.  A great reference book.

Design and Analysis: A Researcher's Handbook
by Geoffrey Keppel, William Saufley, & Howard Tokunaga

A fabulous ANOVA text.  One of the best explanations of simple effects I’ve ever seen.  I used this in an ANOVA class as an undergrad psychology major.  It was challenging then, but is definitely accessible to social scientists.  This is a true textbook and contains lots of exercises for computing statistics by hand (skip those parts).  But  it is a great reference book.

Design and Analysis of Experiments
by Douglas Montgomery

Another excellent ANOVA text.  This one was written for engineering students, so it’s a bit more theoretical and mathy than Keppel.  Definitely a compute-by-hand textbook, but is another fabulous reference.

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