"The text is pitched at a level of difficulty and mathematical complexity that is just right. ... The ... chapters on random factors, analysis of covariance and hierarchical designs makes it such that I can use it in an experimental design class oriented for students with non-calculus backgrounds. ... The sections on measures of effect size are very good and fit with newer requirements ... in the field." - Alan J. Kolkars, University of Washington, USA
"The authors’ writing style is one of the main strengths of this text. I also like the packaging of multiple regression with ANOVA in one book. ... I like all the proposed changes. ... It will actually be a better match to the statistics components to our ... curriculum ... than any other text." - Alan D. Moore, University of Wyoming, USA