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Generally, a very well written and understandable book. However, with it's depth and thoroughness it is more suited for academics and possibly doctoral students with an interest in methods than M.Sc. student. Unfortunately, for them it will likely not fit their level and their expectancies (e.g., they prefer to not have formulas or calculations).

Kirk is squarely a postgraduate level book. Undergraduates and even master students in most psychology and behavioral sciences tracks, with the possible exception of strongly research-oriented cognitive science tracks, will likely find it way beyond their level. It definitely requires a pretty solid math background (at least bachelor level calculus, linear algebra, and mathematical statistics), and prior experience with statistical computing in some environment such as SPSS, SAS, or R.

I really enjoyed that book for it helps students considering how research can be valuable in behavioural sciences. Well done!

I draw on this text as a key teaching resource, and reference for my students, because of the very thorough review of the variety of quantitative designs, and the best overview (in Chapter 1) that I've been able to find on the elements of a quantitative research study.

One of the best in experimental design, but may be it's complicated for undergards

Still not decided.

This book is really one of the best books in the market for experimental design, especially for graduate students.

A complete guide, perfect for graduate students.

A lot about variance analysis, less on design of experimentation

This classic book now improved is essential for a doctorate or master student who wants to carry out thorough investigations.

Very well written and authoritative. The book provides encyclopedic treatment of experimental design and analysis in psychological science. It covers all of the common techniques required by more advanced graduate students. Especially recommended for such students.

Excellent! The bible of experimental research.

The book is very well written and very useful for practical applications. It is the only book I know of (and I have seen quite a few) that provides such a well-structured description of various experimental designs, and especially of the relations and similarities between them.
My only remark is that, personally, I would have liked to see a more explicit discussion of how to deal with repeated measures.

The review exercises and summaries at the end of each chapter is very helpful. The book is, however, too advanced for the purposes of the course.

Excellent book presenting fundamental statistical principals profoundly and in great detail.

Helps stundents to understand background and application of basic and advanced statistical methods.

Tends to be a bit lengthy sometimes - on the other hand this makes it easier to follow.

This course is for students in a PsyD program. I think is more appropiate for students in a PhD program. But I will probably use some chapters to complement the course.

This is the essential reading for all who deal with experimental designs. It is also helpful in statistical consulting.

This book has relevant information for some of the students of my course.
But the content is too difficult for most of the students

I have used this book as a graduate student doing experimental research. Now I am a Ph.D. student and I still recommend this book. It is a great resource. But I have to mention that the initial access to this book is quite hard, therefore I would not recommend it for undergraduate students; even graduate students might find it hard to read.

The focus and the example of the book does not seem to fully address the existing topics of political science.