What make someone a good human being? Is there an objective answer to this question, an answer that can be given in naturalistic terms? For ages philosophers have attempted to develop some sort of naturalistic ethics. Against ethical naturalism, however, notable philosophers have contended that such projects are impossible, due to the existence of some sort of gap between facts and values. Others have suggested that teleology, upon which many forms of ethical naturalism depend, is an outdated metaphysical concept. This book argues that a good human being is one who has those traits the possession of which enables someone to achieve those ends natural to beings like us. Thus, the answer to the question of what makes a good human being is given in terms both objective and naturalistic. The author shows that neither 'is-ought' gaps, nor objections concerning teleology pose insurmountable problems for naturalistic virtue ethics. This work is a much needed contribution to the ongoing debate about ethical theory and ethical virtue.

"Brown and Melamed's book is one of the best concise treatments of the design and analysis of experiments that I have seen. The authors begin by showing the significance of variability (variance) for the analysis of experiments, and clearly illustrate the utility of the analysis of variance (ANOVA) model to the analysis of experimental data. They also provide a clear discussion of more advanced topics such as nested, factorial, split-plot, and repeated measures designs. Their book is comprehensive, handles each topic deftly, and should be readily accessible to researchers with a good grounding in basic statistics."

--Contemporary Sociology

"The book is well written and includes useful examples. . . . Useful to researchers in both the planning and analysis phases of an experimental study."

--ANNA Journal

"Introductory, well written, and has illustrative examples. Highly recommended for introductory courses and self study; the book can be supplemented easily with a treatment of covariates from other available study materials."

--Journal of Marketing Research

This volume introduces the reader to one of the most fundamental topics in social science statistics--experimental design. The authors clearly show how to select an experimental design based on the number of independent variables, the sources and number of extraneous variables, and the number of subjects. Other topics addressed include variability, hypothesis testing, how ANOVA can be extended to the multi-group situation, the logic of the t test, and completely randomized designs.