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The fourth edition of Design and Analysis continues to offer a readily accessible introduction to the designed experiment in research and the statistical analysis of the data from such experiments. Unique because it emphasizes the use of analytical procedures, this book is appropriate for all as it requires knowledge of only the most fundamental mathematical skills and little or no formal statistical background. Topics include: single- and two-factor designs with independent groups of subjects; corresponding designs with multiple observations; analysis of designs with unequal sample sizes; analysis of covariance; designs with three factors, including all combinations of between-subjects and within-subject factors; random factors and statistical generalization; and nested factors. This book lives up to its name as a handbook, because of its usefulness as a source and guide to researchers who require assistance in both planning a study and analyzing its results.

Average Customer Rating:

Low quality stats textbook

Customer Rating:

If you are a professor looking at this, do your students a favor and don't use this book. It is confusing, difficult to follow, boring, and a waste of money. Every student who has used this book says about the same thing, "I tried reading it for the first couple weeks but I stopped when it became obvious that I wasn't getting anything from it." I bet there are many copies of it out there with the first 100 pages highlighted but nothing after that. If you are a student buying this book for a class, I am sorry. I recommend buying supplementary material that is more approachable.

hard cover and softcover	Customer Rating:
I remember I odered this book with a hardcover, but what I recieved is softcover. I am using this book, and won't return it to you. But I hope next time, it won't happen to me again. Thanks.

Design and Analysis: A Researcher's Handbook	Customer Rating:
This is absolutely one of the best statistical analysis reference books that I've ever seen. It's easy to read, easy to follow and doesn't skip the minor steps that people several years out of the academia environment tend for forget. I highly recommend this handbook for anyone that is wanting to do Real Work in Real Time.

Intuitive, yet rigorous

Customer Rating:

This is probably the best experimental design and analysis text available out there. Unlike other texts (e.g., Winer et al.'s), it is writen as a book to be read rather than as a reference to be consulted sporadically. My graduate students all praise it for being just at the right level of intuitiveness-rigor. I suspect that it covers about 85-90% of the analysis issues that behavioral researchers face with respects to experimental data (e.g., from one-way ANOVAs to three-way mixed-design factorials, contrast analysis, elementary ANCOVA). For the rest (e.g., fractional designs, random-effects models), researchers should consult more technical (and less readable) texts such as Kirk's and Winer et al.'s. I only wished that the author would come up with a new edition--the current edition (the 3rd) was published in 1991--and that he would use a broader range of examples (e.g.,from social psychology as opposed to cognitive psychology only). Overall,however, it's a great reference.

Business students who want simple "why" & "how" of technic	Customer Rating:
A business student interested in multivariate techniques seeks a book on regression and ANOVA that does not have involved/advanced mathematics. This book is an answer to that. An earlier edition emphasised the Behavioural Sciences. I expect that this edition attempts to speak to a wider audience