Full disclosure: I cannot speak to Chapters 15 or 16, as they were not part of my course. It was an advanced graduate level course on analysis of variFull disclosure: I cannot speak to Chapters 15 or 16, as they were not part of my course. It was an advanced graduate level course on analysis of variance.

This is probably the clearest and most thorough statistics textbook I've ever come across. It tackles analysis of variance from the ground up, presenting it in terms of the statistical model comparisons that underlie stats packages like SPSS or SAS (and the theory that built them) and in this way demonstrating the ultimate cohesion of all analyses, for any design, based on the general linear model. Maxwell and Delaney write with impressive patience and clarity on increasingly challenging topics-- each one is broken down in turn and shown to be a logical and mathematical extension of the basic concepts. Examples are used throughout to illustrate concepts, and exercises are given at the end of every chapter. Moreover, syntax for stats packages is occasionally provided.

Though the course was heck of tough, it was also incredibly rewarding, and this textbook perfectly complemented the lectures and assignments to ease my understanding. I had only two small complaints about the text. First, that it grows a bit repetitive in extensions from lower- to higher-order designs of the same type; while I understand they were trying to be as explicit as possible, it felt redundant at times. Second, especially further on, that some sections involved drastic leaps in complexity certain to flummox readers with a lesser grasp on the materials. I came to this book with several upper-level statistics courses under my belt, but the book is meant to be used with undergraduates as well. Even so, the optional endnotes regularly flummoxed me, and I found myself wishing they were written with just a touch more consideration for readers without mathematical backgrounds-- I was terribly interested by the ideas, but often could not follow the maths.

Aside from those two details, however, I found an unexpected enjoyment in learning from this book, and would recommend it as required reading (or at least required owning, for reference) for any graduate student in psychology....more

Some of the chapters were much better than others (each was written by a different group of experts in the appropriate field), and the editors could hSome of the chapters were much better than others (each was written by a different group of experts in the appropriate field), and the editors could have done a better job of removing overlap and matching formatting across chapters....

But these are common enough issues with textbooks of this sort, and it was quite informative and thorough overall. I found it to be a fantastic read compared to so many neuro texts, as it cuts out the fat and delivers exactly what you need to know (clinical presentation, diagnostic criteria and tests, neurological correlates) in a clear an concise manner. It also contains extremely handy charts, tables, and visualizations to help you organize differential diagnoses in your mind....more

A wonderful review of different theories and models of basic human learning processes, tying together multiple levels of analysis (mechanistic, theoreA wonderful review of different theories and models of basic human learning processes, tying together multiple levels of analysis (mechanistic, theoretic, connectionist modelling) in a coherent and fair manner, as well as outlining the challenges to those approaches. Where other researchers would have favoured their preferred level of analysis at the expense of equally valid alternatives, Shanks considers the likelihood that many of them are simultaneously valid explanations of behaviour, and that pitting a normative model against an associative one, for example, shortchanges them both.

It was a super informative read for my thesis work, and helped me understand some models (i.e. probabilistic contrast model) that I hadn't paid much attention to before....more

Wonderful textbook. It offers a comprehensive understanding of classic learning theories without intimidating its readers the way the original literatWonderful textbook. It offers a comprehensive understanding of classic learning theories without intimidating its readers the way the original literature would. It's thanks to this book that I began studying classical conditioning, which remains a strong foundation in my research to this day....more

Brilliant. A comprehensive overview of Greek and Roman mythology, with stories told in a surprisingly entertaining and coherent tone. I recommend thisBrilliant. A comprehensive overview of Greek and Roman mythology, with stories told in a surprisingly entertaining and coherent tone. I recommend this for anyone interested in mythology, as it's one of the few textbooks I've had that reads like a good novel....more

I actually didn't like this textbook. It was poorly organized and made too many assumptions of prior knowledge about its readership. Very dense, not uI actually didn't like this textbook. It was poorly organized and made too many assumptions of prior knowledge about its readership. Very dense, not user-friendly, but at least I learned a lot by rewriting notes in my own words......more

I'll be honest, I remember so little about this textbook. I have neither complaints nor compliments to give it it, and I'm not sure that its completeI'll be honest, I remember so little about this textbook. I have neither complaints nor compliments to give it it, and I'm not sure that its complete lack of memorability in either direction speaks wonders about it. It DID teach me that social psychology is not at all for me, so that was good....more

Probably one of the best textbooks I've read. The fascinating subject matter helps, of couse, but Mast and Kawin offer a superb overview of the entireProbably one of the best textbooks I've read. The fascinating subject matter helps, of couse, but Mast and Kawin offer a superb overview of the entire history of cinema, from its very beginnings to the present day. Aside from wishing that asian cinema were more thoroughly explored, I have no complaints. I recommend this book to any film enthusiasts; I'm not a film student myself, and I loved the read (it introduced me to a lot of great movies, too)....more

A decent textbook, well-organized and readable. It's a little dry at parts, for a subject so fascinating, but overall I was able to learn a lot from iA decent textbook, well-organized and readable. It's a little dry at parts, for a subject so fascinating, but overall I was able to learn a lot from it. The entire book was read for a third-year university course....more

I looooooved this textbook. So much that I actually kept it, an honour that I gave to only one other textbook from my undergraduate years. It's incredI looooooved this textbook. So much that I actually kept it, an honour that I gave to only one other textbook from my undergraduate years. It's incredibly well-written, detailed without being tedious or over-wordy, and makes great use of images. I absolutely recommend this text to any student of psychology with an interest in the brain but little experience in biology....more

David Howell writes in a fairly easy-to-follow manner and is decent at explaining statistical concepts-- not great, however: he slips into over-compliDavid Howell writes in a fairly easy-to-follow manner and is decent at explaining statistical concepts-- not great, however: he slips into over-complication of a few ideas while flippantly running over others that could use more thorough consideration. As a result, the book alternately feels as though it were written for undergraduates and/or statisticians beyond my own abilities. I don't feel that I personally got much out of it.

His methods, theoretical opinions, and variable designations differed widely from those used by my professor, so the textbook often served to hinder rather than aid my understanding of the concepts. I think a different text (or no text at all?) would have better served my graduate level statistics class, but I am grateful that it was at least easy to get through (i.e. didn't make me cry and pull my hair out)....more

Good textbook, but a little dense. The chapters are each written by separate authors, so there is a slight feeling of disconnect between them, with diGood textbook, but a little dense. The chapters are each written by separate authors, so there is a slight feeling of disconnect between them, with different chapters housing different assumptions about what the reader already knows and what the terminology standard should be. Regardless, I learned a lot. It was read for a graduate class on functional neuroimaging, every chapter was covered. ...more