A good book but a terrible textbook

books:

	• Designing Experiments and Analyzing Data: A Model Comparison Perspective, Second Edition Scott E. Maxwell, Harold D. Delaney Lawrence Erlbaum, 2003 - 1104 pages average customer review:based on 6 reviews
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highly recommended

Second Edition

This edition is similar to the previous one. It is without peer in terms of scholarship. It is also not easy to read and digest, and that's the way it should be for a serious treatment of research methods. After all, the applications of such methods and the interpretation of results can profoundly affect our lives.

Fabulous book

This is a practitioner's book, not a scolar's. I'm not a scolar -- never have been and never will be. I love this book. It's lucid, it's sensible and it's great statistics. It goes thoroughly into the logic of linear model ANOVAs yet the bulk of the exposition is in the simple English language -- it has no calculus and no eigenvectors and almost no matrix algebra. You need an acquaintance with elementary one-way ANOVA but no more background than that. The authors pace it carefully and are not afraid of a bit of repetition for the sake of clarity (something I always appreciate when I'm reading new technical material). It's one of the best $105 dollars I've ever spent. I got loads out of it all the way through and it's a big book. The explanation of multivariate repeated measures is worth the price alone.

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Awsome

Maxwell and Delaney are the Sigfreid and Roy of the statistical world. Their examples are like elaborate shows meant to tantalize the senses. I only wish I could give it more than 5 stars.

A good book but a terrible textbook

Without any doubt, this is a comprehensive book in this field. However, because the authors tried to demonstrate their superior english writting abilities, they made the whole text hard to understand for students. From my point of view, as a new professor, I don't believe that recommending this book is appropriate.

reviews: page 1, 2

Advanced UG/grad lvl txt or ref book for experimental design in psych, ed, & stats depts. N/E updated throughout to reflect recent developments.

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