Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Qualitative Mathematics For The Social Sciences PDF full book. Access full book title Qualitative Mathematics For The Social Sciences.
| Author | : Lee Rudolph |
| Publisher | : Routledge |
| Total Pages | : 494 |
| Release | : 2013 |
| Genre | : Mathematics |
| ISBN | : 0415444829 |
This book combines psychological and mathematical perspectives to analyse how qualitative mathematics can be used to create models of social and psychological processes.
| Author | : Lee Rudolph |
| Publisher | : Routledge |
| Total Pages | : 494 |
| Release | : 2013-01-03 |
| Genre | : Mathematics |
| ISBN | : 1136232303 |
In this book Lee Rudolph brings together international contributors who combine psychological and mathematical perspectives to analyse how qualitative mathematics can be used to create models of social and psychological processes. Bridging the gap between the fields with an imaginative and stimulating collection of contributed chapters, the volume updates the current research on the subject, which until now has been rather limited, focussing largely on the use of statistics. Qualitative Mathematics for the Social Sciences contains a variety of useful illustrative figures, introducing readers from the social sciences to the rich contribution that modern mathematics has made to our knowledge of logic, structures, and dynamic systems. A beguiling array of conceptual systems, topological models and fractals are discussed which transcend the application of statistics, and bring a fresh perspective to the study of social representations. The wide selection of qualitative mathematical methodologies discussed in this volume will be hugely valuable to higher-level undergraduate and postgraduate students of psychology, sociology and mathematics. It will also be useful for researchers, academics and professionals from the social sciences who want a firmer grasp on the use of qualitative mathematics.
| Author | : Kosuke Imai |
| Publisher | : Princeton University Press |
| Total Pages | : 464 |
| Release | : 2021-03-16 |
| Genre | : Political Science |
| ISBN | : 0691191093 |
"Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--
| Author | : John Fox |
| Publisher | : SAGE |
| Total Pages | : 185 |
| Release | : 2009 |
| Genre | : Social Science |
| ISBN | : 1412960800 |
The ideal primer for students and researchers across the social sciences who wish to master the necessary maths in order to pursue studies involving advanced statistical methods
| Author | : Jonathan Kropko |
| Publisher | : |
| Total Pages | : 392 |
| Release | : 2016 |
| Genre | : Social sciences |
| ISBN | : 9781506304199 |
| Author | : Jeff Gill |
| Publisher | : Cambridge University Press |
| Total Pages | : 449 |
| Release | : 2006-04-24 |
| Genre | : Mathematics |
| ISBN | : 0521834260 |
"More than ever before, modern social scientists require a basic level of mathematical literacy, yet many students receive only limited mathematical training prior to beginning their research careers. This textbook addresses this dilemma by offering a comprehensive, unified introduction to the essential mathematics of social science. Throughout the book the presentation builds from first principles and eschews unnecessary complexity. Most importantly, the discussion is thoroughly and consistently anchored in real social science applications, with more than 80 research-based illustrations woven into the text and featured in end-of-chapter exercises. Students and researchers alike will find this first-of-its-kind volume to be an invaluable resource."--BOOK JACKET.
| Author | : Urszula Strawinska-Zanko |
| Publisher | : Springer |
| Total Pages | : 222 |
| Release | : 2018-06-07 |
| Genre | : Social Science |
| ISBN | : 3319767658 |
This edited volume presents examples of social science research projects that employ new methods of quantitative analysis and mathematical modeling of social processes. This book presents the fascinating areas of empirical and theoretical investigations that use formal mathematics in a way that is accessible for individuals lacking extensive expertise but still desiring to expand their scope of research methodology and add to their data analysis toolbox. Mathematical Modeling of Social Relationships professes how mathematical modeling can help us understand the fundamental, compelling, and yet sometimes complicated concepts that arise in the social sciences. This volume will appeal to upper-level students and researchers in a broad area of fields within the social sciences, as well as the disciplines of social psychology, complex systems, and applied mathematics.
| Author | : Lorenzo Peccati |
| Publisher | : Springer |
| Total Pages | : 347 |
| Release | : 2018-12-28 |
| Genre | : Mathematics |
| ISBN | : 3030023362 |
This book is aimed at students in social sciences programs that include some course in quantitative methods. Stats for social sciences is frequently the subject of textbooks, while maths for social sciences is often neglected: monographs on specific themes (like, for instance, social choice systems or game theory applications) are available, but they do not adequately cover the topic in general. This textbook stems from the Bocconi University’s new "Bachelor in Government", which was launched in 2015, and is intended for undergraduate students who do not exclude maths from their toolbox. It discusses various concrete applications in political economics, political science, sociology, and demography and explores topics like Grexit, Macron’s success, immigration effects and the Arab Spring.
| Author | : Marilyn Lichtman |
| Publisher | : SAGE Publications |
| Total Pages | : 449 |
| Release | : 2013-09-11 |
| Genre | : Education |
| ISBN | : 1483320677 |
Focusing on the integral role of the researcher, Qualitative Research for the Social Sciences uses a conversational writing style that draws readers into the excitement of the research process. Lichtman offers a balanced and nuanced approach, covering the full range of qualitative methodologies and viewpoints about the field, including coverage of social media as a tool to facilitate research or as a venue for study. After presenting theoretical concepts and a historical overview, Lichtman guides readers, step by step, through the research process, addressing issues of analyzing data, presenting completed research, and evaluating research. Real-world examples from across the social sciences provide both practical and theoretical information, helping readers understand abstract ideas and apply them to their own research.
| Author | : Wolfgang Weidlich |
| Publisher | : Courier Corporation |
| Total Pages | : 397 |
| Release | : 2006-07-07 |
| Genre | : Mathematics |
| ISBN | : 0486450279 |
"Highly recommended. . . . This is an important book in putting the burgeoning field of sociodynamics on a solid footing."—Journal of Artificial Societies and Social Simulation This text deals with general modelling concepts in the social sciences, their applications, and their mathematical methods. The author's well-organized approach offers a clear, coherent introduction to terminology, approaches, and goals in modelling. Appropriate for advanced undergraduates and graduate students, it requires a solid background in algebra and calculus. The three-part treatment begins by addressing general modelling concepts, the second part provides applications, and the third discusses mathematical method. Topics include population dynamics, group interaction, political transitions, evolutionary economics, and urbanization. Guiding students through a series of practical applications that illustrate the methods' potential scope, the text concludes with a detailed look at mathematical methods.
