Nigel Gilbert Livres

Exploring the intersection of computer simulation and social sciences, this book delves into how simulations can enhance understanding of complex social phenomena. It examines various methodologies and applications, showcasing case studies that illustrate the effectiveness of simulation in modeling social behavior, decision-making processes, and systemic interactions. By bridging the gap between computational techniques and social theory, it highlights the potential for simulations to offer new insights and inform research across diverse social science disciplines.

Reviews of the First Edition `... an ideal primary text for an undergraduate course in social research methods′ - Teaching Sociology `This is a very impressive book. It is admirably written in clear, straightforward language, so that I can easily imagine undergraduates responding well to its use as a core text.′ - Geoff Payne, Professor of Social Research, University of Plymouth `Provides an excellent introductory methods text that covers every stage of quantitative and qualitative research.′ - Journal of Social Policy `an ideal text for undergraduates in a variety of disciplines who are taking research methods courses′

Exploring traditional modeling approaches to social norms, the book emphasizes the effectiveness of agent-based modeling in examining micro-macro interactions. It delves into the complex dynamics that characterize social norms, showcasing their multifaceted nature and the insights gained through innovative modeling techniques.

"Designed to help take the fear out of the essential use of numbers in social research, this textbook introduces students to statistics as a powerful means of revealing patterns in human behaviour. The authors provide a guide to quantitative data analysis including: clear explanations of all the methods; comprehensive coverage of analytic tools; an introduction to using SPSS, the most widely used statistical analysis program; examples based on real datasets available to students on the World Wide Web; helpful chapter summaries; exercises at the end of each chapter; and a glossary of key terms." "Understanding Social Statistics is for use in courses on statistics and quantitative research across the social sciences." "Readership: academics and students across the social sciences, especially in sociology, social policy, health studies and other applied disciplines."--BOOK JACKET