This book treats many important topics that are ignored in most statistics books. Examples include the limitations of statistical significance tests, the importance of effect size indices, the important role of distribution shapes in determining ceilings on linear relationships, problems of capitalization on sampling error in stepwise regression, and many, many others. There are a lot of quite simple introductory statistics texts out there (`too cold!`), and a large number of really comprehensive ones, perhaps best digested over two semesters (too hot!) I found Thompson's treatment and coverage to be just right! This book will encourage both students and experienced researchers to 'think through' the process, critically examine their hypotheses, and choose the statistical method best suited to their theory.