Using Statistics in Social Research

Using Statistics in Social Research is a comprehensive guide designed especially for upper-level undergraduate students and emerging researchers in the social sciences. Drawing on extensive lecture notes from introductory courses, Scott M. Lynch leads readers through the integration of statistical methods within the broader research process. The book begins by addressing the fundamental philosophical issues that underpin scientific inquiry - including deductive reasoning, the falsifiability of hypotheses, and the formulation of sound research questions. It then delves into the principles of probability theory, highlighting its crucial role in establishing the foundation for statistical inference. Subsequent chapters illustrate the Central Limit Theorem before exploring essential statistical tools used in social research. Readers will encounter detailed discussions of z and t tests, confidence intervals, nonparametric chi-square tests, one-way analysis of variance, correlation, and both simple and multiple regression methods. Each concept is supported by examples drawn from both real and simulated data, and the text concludes with guidance on effectively presenting statistics in tables and graphics, as well as recommendations for further study. Published in 2016 by Springer-verlag New York Inc., this 229-page paperback serves as both an instructional text and a practical reference, equipping students with the skills needed to navigate and apply statistical techniques in social research.