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“Kirk is an extraordinarily logical and precise writer. His prose is excellent. I really like the balance between the logic and issues of design and the assumptions and implications of violations in the analysis. The consistent explanation of the parameters of the model equation and the sample estimators of the parameters is so clear. The advantages and disadvantages sections are wonderful and the diagrams comparing partitioning of variances are elegant.”
“This is the standard for texts in experimental design. It is truly an outstanding resource. The expansive coverage of the full range of designs and all their complexities make it extremely valuable. The extensive updating throughout this edition will be a great asset for instructors. The general conceptual approach taken in the building block approach to designs is very helpful to graduate students studying the concepts for the first or second time. I have always thought the examples in this book are clear and well developed, truly ideal.
“The book is thorough in integrating important topical areas dealing with statistical power and effect size estimation within the chapters covering a particular design and analysis issue.”
“This is still the best available textbook on experimental research.”
“The combination of topic coverage and organization, depth of coverage, and clarity of writing are what keeps me using this text year after year."
“I like the examples given to solidify important points, and how in some spots the author clearly spells out concepts for the reader. I like how it would be easy to quickly grab this text and look up issues of determining effect size and acceptable levels without doing much digging, and how the advantages and disadvantages of certain designs are clearly identified. I also like that he includes references from the updated APA manual. It is nice to see that kind of consistency.”
“Professor Kirk continues, with this Fourth Edition, to maintain his high standards of clarity and scholarship. Many important designs and analyses for behavioral researchers are succinctly and lucidly presented. It is written at such a level as to be beneficial for the graduate student and yet does not sacrifice conceptual/technical issues (esp. by explicating and utilizing the GLM approach). This makes this edition not only a very good textbook but also an exceptional reference book.”
“Kirk has very useful chapters for addressing complicated designs. Addressing confounded and fractional designs can seem a bit arcane to students, but knowing how to use them can help researchers to either avoid them or recognize situations in which they are used.”
“The materials are logically and well organized. The layout of these materials is from lower level to higher level; and from basic conceptual interpretation to complicated computational procedures and experimental designs.”
“I would really like to see students think of this book the way I do—like an old friend that I would NEVER be without.”
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.
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