Simulation For The Social Scientist

Author: Gilbert, Nigel
Publisher: McGraw-Hill Education (UK)
ISBN: 0335216005
Size: 13.41 MB
Format: PDF, Mobi
View: 16

Social sciences -- Simulation methods. Social interaction -- Computer simulation. Social sciences -- Mathematical models. (publisher)

Simulation For The Social Scientist

Author: CTI Reviews
Publisher: Cram101 Textbook Reviews
ISBN: 9781490265186
Size: 15.18 MB
Format: PDF
View: 27

Facts101 is your complete guide to Simulation for the Social Scientist. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

From Postgraduate To Social Scientist

Author: Nigel Gilbert
Publisher: Pine Forge Press
ISBN: 1446228754
Size: 15.67 MB
Format: PDF, ePub
View: 94

From Postgraduate to Social Scientist is essential reading for any postgraduate or new researcher who is interested in a career in the social sciences. The book describes the skills needed for success in moving from being a student to becoming an academic or professional social scientist. Written by experts in the field, Gilbert et al. offer a unique insider's view of how to make the transition. By adopting a clear and accessible approach, this book encourages students embarking on the journey towards becoming a social scientist to engage with every aspect of the process: - Reviewing and writing skills - Using the Internet - Research ethics - Intellectual property rights - Writing research proposals - Project management - Writing a thesis and reports - Creating presentations, press releases and popular articles - Teaching skills - Careers in social science From Postgraduate to Social Scientist is designed for postgraduate students and researchers across the social sciences. It will be invaluable for courses that aim to satisfy the Economic and Social Research Council's 'Training Guidelines' requirements for doctoral programmes. SAGE Study Skills are essential study guides for students of all levels. From how to write great essays and succeeding at university, to writing your undergraduate dissertation and doing postgraduate research, SAGE Study Skills help you get the best from your time at university.

Numerical Issues In Statistical Computing For The Social Scientist

Author: Micah Altman
Publisher: John Wiley & Sons
ISBN: 9780471475743
Size: 13.50 MB
Format: PDF, ePub
View: 26

At last—a social scientist's guide through the pitfalls of modern statistical computing Addressing the current deficiency in the literature on statistical methods as they apply to the social and behavioral sciences, Numerical Issues in Statistical Computing for the Social Scientist seeks to provide readers with a unique practical guidebook to the numerical methods underlying computerized statistical calculations specific to these fields. The authors demonstrate that knowledge of these numerical methods and how they are used in statistical packages is essential for making accurate inferences. With the aid of key contributors from both the social and behavioral sciences, the authors have assembled a rich set of interrelated chapters designed to guide empirical social scientists through the potential minefield of modern statistical computing. Uniquely accessible and abounding in modern-day tools, tricks, and advice, the text successfully bridges the gap between the current level of social science methodology and the more sophisticated technical coverage usually associated with the statistical field. Highlights include: A focus on problems occurring in maximum likelihood estimation Integrated examples of statistical computing (using software packages such as the SAS, Gauss, Splus, R, Stata, LIMDEP, SPSS, WinBUGS, and MATLAB®) A guide to choosing accurate statistical packages Discussions of a multitude of computationally intensive statistical approaches such as ecological inference, Markov chain Monte Carlo, and spatial regression analysis Emphasis on specific numerical problems, statistical procedures, and their applications in the field Replications and re-analysis of published social science research, using innovative numerical methods Key numerical estimation issues along with the means of avoiding common pitfalls A related Web site includes test data for use in demonstrating numerical problems, code for applying the original methods described in the book, and an online bibliography of Web resources for the statistical computation Designed as an independent research tool, a professional reference, or a classroom supplement, the book presents a well-thought-out treatment of a complex and multifaceted field.

Simulating Social Phenomena

Author: Rosaria Conte
Publisher: Springer
ISBN: STANFORD:36105019411425
Size: 17.72 MB
Format: PDF, Docs
View: 27

In this book experts from quite different fields present simulations of social phenomena: economists, sociologists, political scientists, psychologists, cognitive scientists, organisational scientists, decision scientists, geographers, computer scientists, AI and AL scientists, mathematicians and statisticians. They simulate markets, organisations, economic dynamics, coalition formation, the emergence of cooperation and exchange, bargaining, decision making, learning, and adaptation. The history, problems, and perspectives of simulating social phenomena are explicitly discussed.

Information Technology For The Social Scientist

Author: Ray Lee University of London.,
Publisher: Routledge
ISBN: 9781134218141
Size: 16.44 MB
Format: PDF, Kindle
View: 72

Accessible and practical overview to help social reseachers make the most of information technology in relation to research design and selection, management and analysis of research data. The book pinpoints current and future trends in computer-assisted methods.; This book is intended for postgraduate and undergraduate social research methods courses and professional social researchers in sociology, social policy and administration, social psychology and geography. Particular appeal to courses in computer applications for social scientists and researchers.

Cooperative Agents

Author: N.J. Saam
Publisher: Springer Science & Business Media
ISBN: 9789401711777
Size: 12.49 MB
Format: PDF, ePub, Mobi
View: 50

Agent-based modelling on a computer appears to have a special role to play in the development of social science. It offers a means of discovering general and applicable social theory, and grounding it in precise assumptions and derivations, whilst addressing those elements of individual cognition that are central to human society. However, there are important questions to be asked and difficulties to overcome in achieving this potential. What differentiates agent-based modelling from traditional computer modelling? Which model types should be used under which circumstances? If it is appropriate to use a complex model, how can it be validated? Is social simulation research to adopt a realist epistemology, or can it operate within a social constructionist framework? What are the sociological concepts of norms and norm processing that could either be used for planned implementation or for identifying equivalents of social norms among co-operative agents? Can sustainability be achieved more easily in a hierarchical agent society than in a society of isolated agents? What examples are there of hybrid forms of interaction between humans and artificial agents? These are some of the sociological questions that are addressed.