Mathematical Models in the Social and Behavioral Sciences
Author: Anatol Rapoport
Publisher: John Wiley & Sons
Published: 1983
Total Pages: 528
ISBN-13:
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Mathematical Models of Social Evolution
Author: Richard McElreath
Publisher: University of Chicago Press
Published: 2008-09-15
Total Pages: 429
ISBN-13: 0226558282
DOWNLOAD EBOOKOver the last several decades, mathematical models have become central to the study of social evolution, both in biology and the social sciences. But students in these disciplines often seriously lack the tools to understand them. A primer on behavioral modeling that includes both mathematics and evolutionary theory, Mathematical Models of Social Evolution aims to make the student and professional researcher in biology and the social sciences fully conversant in the language of the field. Teaching biological concepts from which models can be developed, Richard McElreath and Robert Boyd introduce readers to many of the typical mathematical tools that are used to analyze evolutionary models and end each chapter with a set of problems that draw upon these techniques. Mathematical Models of Social Evolution equips behaviorists and evolutionary biologists with the mathematical knowledge to truly understand the models on which their research depends. Ultimately, McElreath and Boyd’s goal is to impart the fundamental concepts that underlie modern biological understandings of the evolution of behavior so that readers will be able to more fully appreciate journal articles and scientific literature, and start building models of their own.
Qualitative Mathematics for the Social Sciences
Author: Lee Rudolph
Publisher: Routledge
Published: 2013
Total Pages: 494
ISBN-13: 0415444829
DOWNLOAD EBOOKThis book combines psychological and mathematical perspectives to analyse how qualitative mathematics can be used to create models of social and psychological processes.
Mathematical Modeling in Social Sciences and Engineering
Author: Juan Carlos Cortés López
Publisher: Nova Science Publishers
Published: 2014
Total Pages: 0
ISBN-13: 9781631173356
DOWNLOAD EBOOKThis book is devoted to the power of mathematical modelling to give an answer to a broad diversity of real problems including medicine, finance, social behavioural problems and many engineering problems. Mathematical modelling in social sciences is very recent and comes with special challenges such as the difficulty to manage human behaviour, the role of the model hypothesis with the objectivity/subjectivity and the proper understanding of the conclusions. In this book, the reader will find several behavioural mathematical models that in fact may be understood as the so-called epidemiological models in the sense that they deal with populations instead of individuals.
Sociodynamics
Author: Wolfgang Weidlich
Publisher: Courier Corporation
Published: 2006-07-07
Total Pages: 397
ISBN-13: 0486450279
DOWNLOAD EBOOK"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.
Marginal Models
Author: Wicher Bergsma
Publisher: Springer Science & Business Media
Published: 2009-04-03
Total Pages: 274
ISBN-13: 0387096108
DOWNLOAD EBOOKMarginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answering important research questions when dependent observations are involved, as the many real world examples in this book show. In the social, behavioral, educational, economic, and biomedical sciences, data are often collected in ways that introduce dependencies in the observations to be compared. For example, the same respondents are interviewed at several occasions, several members of networks or groups are interviewed within the same survey, or, within families, both children and parents are investigated. Statistical methods that take the dependencies in the data into account must then be used, e.g., when observations at time one and time two are compared in longitudinal studies. At present, researchers almost automatically turn to multi-level models or to GEE estimation to deal with these dependencies. Despite the enormous potential and applicability of these recent developments, they require restrictive assumptions on the nature of the dependencies in the data. The marginal models of this book provide another way of dealing with these dependencies, without the need for such assumptions, and can be used to answer research questions directly at the intended marginal level. The maximum likelihood method, with its attractive statistical properties, is used for fitting the models. This book has mainly been written with applied researchers in mind. It includes many real world examples, explains the types of research questions for which marginal modeling is useful, and provides a detailed description of how to apply marginal models for a great diversity of research questions. All these examples are presented on the book's website (www.cmm.st), along with user friendly programs.
Essentials of Structural Equation Modeling
Author: Mustafa Emre Civelek
Publisher: Lulu.com
Published: 2018-03-12
Total Pages: 120
ISBN-13: 1609621298
DOWNLOAD EBOOKStructural Equation Modeling is a statistical method increasingly used in scientific studies in the fields of Social Sciences. It is currently a preferred analysis method, especially in doctoral dissertations and academic researches. Many universities do not include this method in the curriculum, so students and scholars try to solve these problems using books and internet resources. This book aims to guide the researcher in a way that is free from math expressions. It teaches the steps of a research program using structured equality modeling practically. For students writing theses and scholars preparing academic articles, this book aims to analyze systematically the methodology of studies conducted using structural equation modeling methods in the social sciences. In as simple language as possible, it conveys basic information. It consists of two parts: the first gives basic concepts of structural equation modeling, and the second gives examples of applications.
Categorical Data Analysis for the Behavioral and Social Sciences
Author: Razia Azen
Publisher: Routledge
Published: 2021-05-26
Total Pages: 354
ISBN-13: 1000383938
DOWNLOAD EBOOKFeaturing a practical approach with numerous examples, the second edition of Categorical Data Analysis for the Behavioral and Social Sciences focuses on helping the reader develop a conceptual understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analysis methods and emphasize specific research questions that can be addressed by each analytic procedure, including how to obtain results using SPSS, SAS, and R, so that readers are able to address the research questions they wish to answer. Each chapter begins with a "Look Ahead" section to highlight key content. This is followed by an in-depth focus and explanation of the relationship between the initial research question, the use of software to perform the analyses, and how to interpret the output substantively. Included at the end of each chapter are a range of software examples and questions to test knowledge. New to the second edition: The addition of R syntax for all analyses and an update of SPSS and SAS syntax. The addition of a new chapter on GLMMs. Clarification of concepts and ideas that graduate students found confusing, including revised problems at the end of the chapters. Written for those without an extensive mathematical background, this book is ideal for a graduate course in categorical data analysis taught in departments of psychology, educational psychology, human development and family studies, sociology, public health, and business. Researchers in these disciplines interested in applying these procedures will also appreciate this book’s accessible approach.
Mathematical Models in the Social Sciences
Author: John G. Kemeny
Publisher:
Published: 1962
Total Pages: 145
ISBN-13: 9780262110471
DOWNLOAD EBOOKModeling Social Behavior and Its Applications
Author: Lucas Jódar Sánchez
Publisher:
Published: 2018
Total Pages: 290
ISBN-13: 9781536136678
DOWNLOAD EBOOKThis book analyzes human behavior from an individual and organizational perspective. Based on cutting-edge research, each chapter is focused on modeling human behavior in different fields and taking into account uncertain environments by applying innovative quantitative and qualitative approaches.This book deals with the decision-making process of individuals behaving as economic agents who consume, save, produce and invest, but also with organizations such as families, firms, public entities and even countries.This book comprises a wide spectrum of contemporary topics. Each chapter challenges the reader by the approaches employed, providing insight into the pillars of western societies: Sociology and Public Health, Economy and Finances, Medicine, Architecture, Archeology and Engineering.Modeling Social Behavior and its Applications deals with trendy issues and provides answers to socio-economic dilemmas.
