Statistical Reasoning for the Behavioral Sciences. (2nd Ed

Anyone who teaches a course in introductory statistics knows that there is no shortage of available textbooks to choose from. I teach such a course every semester and, within the last year alone, I have received unsolicited copies of at least eight new textbooks. Given the sheer number of available texts, it often is difficult to find the book best matched to one's instructional objectives and the ability level of students. Even after adopting a textbook, one seldom is completely satisfied with it, finding at least some omissions and weaknesses. Shavelson's Statistical Reasoning for the Behavioral Sciences (2nd ed.) is no exception. If adopted, it is likely to be viewed as a reasonably solid introductory statistics text with a few shortcomings. This rather lengthy book (744 pages) includes the descriptive and infer-ential techniques covered in most introductory courses (e.g., frequency distributions; measures of central tendency, variability, and association; one- and two-sample Z and T tests; and one-way and two-way between-subjects ANOVA designs) as well as techniques usually reserved for mor