Intermediate Social Statistics A Conceptual and Graphic Approach

Intermediate Social Statistics expertly guides students through a broad range of statistical methods, starting with an overview of fundamental concepts such as basic descriptive statistics and inferential statistics, before moving on to more advanced techniques, including two- and three-way crosstabulations, multiple regression and logistic regression, path analysis, and more. Taking a conceptual approach, the text emphasizes teaching students why we use particular statistics, what statistics can tell us, how statistics could mislead us, and what to do to prevent being misled or misleading others. This approach allows students to learn not only how to apply statistical techniques but also, importantly, the rationale behind the various methods and formulas they'll use in social statistics. Offering a rich variety of illustrative examples and graphics, helpful review exercises, and easy-to-follow instruction, Intermediate Social Statistics helps students master concepts and sharpen their practical skills, allowing them to navigate the world of statistics with confidence.

Robert Arnold worked for 13 years in applied research before becoming a university professor. He is currently an associate professor in the Department of Sociology, Anthropology, and Criminology at the University of Windsor. His primary area of interest is quantitative methodology, and he has taught methods and statistics from the undergraduate to the doctoral level for the last 25 years. He has also taught introductory sociology, social psychology, and sociology of the contemporary family, which he has offered at the University of Windsor for the past six years. He has served as chair of the Advisory Committee for the University of Windsor's M.A. in Social Data Analysis (MASDA) and has co-authored academic papers in criminology and sociology of health as well as in program evaluation.