"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, Ph.D., University of Washington
"The author’s 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, Ph.D., University of Wyoming