"Science and the University" investigates the tremendous changes that have taken place in university research over the past several decades, gauging the current state of research in higher education and examining issues and challenges crucial to its future. Scientific research increasingly dominates the aims and agendas of many American universities, and this proliferation--and changes in the way research is conducted--has given rise to important questions about the interrelations of higher education, funding for scientific research, and government policy. The cost of doing science, the commercialization of university research, the changing composition and number of Ph.D. students, the effect of scientific research on other university programs--these are just a few of the many issues explored in this volume from the vantage points of scholars in such diverse fields as economics, biochemistry, genetics, and labor studies.

Understanding Regression Analysis: An Introductory Guide presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style. It illustrates how regression coefficients are estimated, interpreted, and used in a variety of settings within the social sciences, business, law, and public policy. Packed with applied examples and using few equations, the book walks readers through elementary material using a verbal, intuitive interpretation of regression coefficients, associated statistics, and hypothesis tests. The Second Edition features updated examples and new references to modern software output.