Use Of Models Soc Science

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Formal Modeling in Social Science

Carol Mershon,Olga Shvetsova
Formal Modeling in Social Science Book PDF

Author : Carol Mershon,Olga Shvetsova
Publisher : University of Michigan Press
Page : 257 pages
File Size : 43,6 Mb
Release : 2019-09-03
Category : Political Science
ISBN : 9780472054237

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Formal Modeling in Social Science by Carol Mershon,Olga Shvetsova Pdf

A formal model in the social sciences builds explanations when it structures the reasoning underlying a theoretical argument, opens venues for controlled experimentation, and can lead to hypotheses. Yet more importantly, models evaluate theory, build theory, and enhance conjectures. Formal Modeling in Social Science addresses the varied helpful roles of formal models and goes further to take up more fundamental considerations of epistemology and methodology. The authors integrate the exposition of the epistemology and the methodology of modeling and argue that these two reinforce each other. They illustrate the process of designing an original model suited to the puzzle at hand, using multiple methods in diverse substantive areas of inquiry. The authors also emphasize the crucial, though underappreciated, role of a narrative in the progression from theory to model. Transparency of assumptions and steps in a model means that any analyst will reach equivalent predictions whenever she replicates the argument. Hence, models enable theoretical replication, essential in the accumulation of knowledge. Formal Modeling in Social Science speaks to scholars in different career stages and disciplines and with varying expertise in modeling.

An Introduction to Models in the Social Sciences

Charles A. Lave,James G. March
An Introduction to Models in the Social Sciences Book PDF

Author : Charles A. Lave,James G. March
Publisher : University Press of America
Page : 436 pages
File Size : 55,5 Mb
Release : 1993
Category : Social Science
ISBN : 0819183814

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An Introduction to Models in the Social Sciences by Charles A. Lave,James G. March Pdf

What is a model? How do you construct one? What are some common models in the social sciences? How can models be applied in new situations? What makes a model good? Focusing on answers to these and related questions, this multidisciplinary introduction to model building in the social sciences formulates interesting problems that involve students in creative model building and the process of invention. The book describes models of individual choice, exchange, adaptation, and diffusion. Throughout, student participation in analytical thinking is encouraged. Originally published in 1975 by HarperCollins Publishers.

The Use of Models in the Social Sciences

Lyndhurst Collins
The Use of Models in the Social Sciences Book PDF

Author : Lyndhurst Collins
Publisher : Routledge
Page : 264 pages
File Size : 50,6 Mb
Release : 2013-11-05
Category : Social Science
ISBN : 9781136444968

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The Use of Models in the Social Sciences by Lyndhurst Collins Pdf

Tavistock Press was established as a co-operative venture between the Tavistock Institute and Routledge & Kegan Paul (RKP) in the 1950s to produce a series of major contributions across the social sciences. This volume is part of a 2001 reissue of a selection of those important works which have since gone out of print, or are difficult to locate. Published by Routledge, 112 volumes in total are being brought together under the name The International Behavioural and Social Sciences Library: Classics from the Tavistock Press. Reproduced here in facsimile, this volume was originally published in 1976 and is available individually. The collection is also available in a number of themed mini-sets of between 5 and 13 volumes, or as a complete collection.

Spatial Regression Models for the Social Sciences

Guangqing Chi,Jun Zhu
Spatial Regression Models for the Social Sciences Book PDF

Author : Guangqing Chi,Jun Zhu
Publisher : SAGE Publications
Page : 273 pages
File Size : 45,5 Mb
Release : 2019-03-06
Category : Social Science
ISBN : 9781544302089

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Spatial Regression Models for the Social Sciences by Guangqing Chi,Jun Zhu Pdf

Space and geography are important aspects of social science research in fields such as criminology, sociology, political science, and public health. Many social scientists are interested in the spatial clustering of various behaviors and events. There has been a rapid development of interest in regression methods for analyzing spatial data over recent years, but little available on the topic that is aimed at graduate students and advanced undergraduate classes in the social sciences (most texts are for the natural sciences, or regional science, or economics, and require a good understanding of advanced statistics and probability theory). Spatial Regression Models for the Social Sciences fills the gap, and focuses on the methods that are commonly used by social scientists. Each spatial regression method is introduced in the same way. Guangqing Chi and Jun Zhu explain what each method is and when and how to apply it, by connecting it to social science research topics. They try to avoid mathematical formulas and symbols as much as possible. Secondly, throughout the book they use the same social science example to demonstrate applications of each method and what the results can tell us. Spatial Regression Models for the Social Sciences provides comprehensive coverage of spatial regression methods for social scientists and introduces the methods in an easy-to-follow manner.

Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View

R. Hegselmann,Ulrich Mueller,Klaus G. Troitzsch
Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View Book PDF

Author : R. Hegselmann,Ulrich Mueller,Klaus G. Troitzsch
Publisher : Springer Science & Business Media
Page : 332 pages
File Size : 45,7 Mb
Release : 2013-03-09
Category : Social Science
ISBN : 9789401586863

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Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View by R. Hegselmann,Ulrich Mueller,Klaus G. Troitzsch Pdf

Model building in the social sciences can increasingly rely on well elaborated formal theories. At the same time inexpensive large computational capacities are now available. Both make computer-based model building and simulation possible in social science, whose central aim is in particular an understanding of social dynamics. Such social dynamics refer to public opinion formation, partner choice, strategy decisions in social dilemma situations and much more. In the context of such modelling approaches, novel problems in philosophy of science arise which must be analysed - the main aim of this book. Interest in social simulation has recently been growing rapidly world- wide, mainly as a result of the increasing availability of powerful personal computers. The field has also been greatly influenced by developments in cellular automata theory (from mathematics) and in distributed artificial intelligence which provided tools readily applicable to social simulation. This book presents a number of modelling and simulation approaches and their relations to problems in philosophy of science. It addresses sociologists and other social scientists interested in formal modelling, mathematical sociology, and computer simulation as well as computer scientists interested in social science applications, and philosophers of social science.

Models as Mediators

Mary S. Morgan,Margaret Morrison
Models as Mediators Book PDF

Author : Mary S. Morgan,Margaret Morrison
Publisher : Cambridge University Press
Page : 420 pages
File Size : 55,7 Mb
Release : 1999-10-21
Category : Business & Economics
ISBN : 0521655714

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Models as Mediators by Mary S. Morgan,Margaret Morrison Pdf

Edited collection examining the ways in which models are used in modern science.

How to Build Social Science Theories

Pamela J. Shoemaker,James William Tankard, Jr.,Dominic L. Lasorsa
How to Build Social Science Theories Book PDF

Author : Pamela J. Shoemaker,James William Tankard, Jr.,Dominic L. Lasorsa
Publisher : SAGE Publications
Page : 240 pages
File Size : 49,5 Mb
Release : 2003-12-10
Category : Language Arts & Disciplines
ISBN : 9781452210438

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How to Build Social Science Theories by Pamela J. Shoemaker,James William Tankard, Jr.,Dominic L. Lasorsa Pdf

As straightforward as its title, How to Build Social Science Theories sidesteps the well-traveled road of theoretical examination by demonstrating how new theories originate and how they are elaborated. Essential reading for students of social science research, this book traces theories from their most rudimentary building blocks (terminology and definitions) through multivariable theoretical statements, models, the role of creativity in theory building, and how theories are used and evaluated. Authors Pamela J. Shoemaker, James William Tankard, Jr., and Dominic L. Lasorsa intend to improve research in many areas of the social sciences by making research more theory-based and theory-oriented. The book begins with a discussion of concepts and their theoretical and operational definitions. It then proceeds to theoretical statements, including hypotheses, assumptions, and propositions. Theoretical statements need theoretical linkages and operational linkages; this discussion begins with bivariate relationships, as well as three-variable, four-variable, and further multivariate relationships. The authors also devote chapters to the creative component of theory-building and how to evaluate theories.

Statistical Modeling and Inference for Social Science

Sean Gailmard
Statistical Modeling and Inference for Social Science Book PDF

Author : Sean Gailmard
Publisher : Cambridge University Press
Page : 393 pages
File Size : 50,8 Mb
Release : 2014-06-09
Category : Business & Economics
ISBN : 9781107003149

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Statistical Modeling and Inference for Social Science by Sean Gailmard Pdf

Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the connection between statistical procedures and social science theory. Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables - the primary aim of social scientists - and demonstrates the ways in which social scientists express and test substantive theoretical arguments in various models. Chapter exercises guide students in applying concepts to data, extending their grasp of core theoretical concepts. Students will also gain the ability to create, read and critique statistical applications in their fields of interest.

Causal Models in the Social Sciences

Jr. Blalock
Causal Models in the Social Sciences Book PDF

Author : Jr. Blalock
Publisher : Routledge
Page : 227 pages
File Size : 44,9 Mb
Release : 2017-07-28
Category : Social Science
ISBN : 9781351529785

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Causal Models in the Social Sciences by Jr. Blalock Pdf

Causal models are formal theories stating the relationships between precisely defined variables, and have become an indispensable tool of the social scientist. This collection of articles is a course book on the causal modeling approach to theory construction and data analysis. H. M. Blalock, Jr. summarizes the then-current developments in causal model utilization in sociology, political science, economics, and other disciplines. This book provides a comprehensive multidisciplinary picture of the work on causal models. It seeks to address the problem of measurement in the social sciences and to link theory and research through the development of causal models.Organized into five sections (Simple Recursive Models, Path Analysis, Simultaneous Equations Techniques, The Causal Approach to Measurement Error, and Other Complications), this volume contains twenty-seven articles (eight of which were specially commissioned). Each section begins with an introduction explaining the concepts to be covered in the section and links them to the larger subject. It provides a general overview of the theory and application of causal modeling.Blalock argues for the development of theoretical models that can be operationalized and provide verifiable predictions. Many of the discussions of this subject that occur in other literature are too technical for most social scientists and other scholars who lack a strong background in mathematics. This book attempts to integrate a few of the less technical papers written by econometricians such as Koopmans, Wold, Strotz, and Fisher with discussions of causal approaches in the social and biological sciences. This classic text by Blalock is a valuable source of material for those interested in the issue of measurement in the social sciences and the construction of mathematical models.

Use of Models Soc Science

Lyndhurst Collins
Use of Models Soc Science Book PDF

Author : Lyndhurst Collins
Publisher : Routledge
Page : 238 pages
File Size : 46,6 Mb
Release : 2020-09-30
Category : Electronic
ISBN : 0367215780

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Use of Models Soc Science by Lyndhurst Collins Pdf

This book deals with the philosophy of model use; focuses on the role of models in the natural sciences; and introduces a new paradigm to the social sciences, catastrophe model. It outlines the role of models concerned with conflict problems, particularly problems of military strategy.

Social Science Research

Anol Bhattacherjee
Social Science Research Book PDF

Author : Anol Bhattacherjee
Publisher : CreateSpace
Page : 156 pages
File Size : 48,8 Mb
Release : 2012-04-01
Category : Science
ISBN : 1475146124

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Social Science Research by Anol Bhattacherjee Pdf

This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

The Logic of Social Science

James Mahoney
The Logic of Social Science Book PDF

Author : James Mahoney
Publisher : Princeton University Press
Page : 416 pages
File Size : 55,7 Mb
Release : 2021-08-17
Category : Political Science
ISBN : 9780691217055

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The Logic of Social Science by James Mahoney Pdf

"Mahoney's starting point is the problem of essentialism in social science. Essentialism--the belief that the members of a category possess hidden properties ("essences") that make them members of the category and that endow them with a certain nature--is appropriate for scientific categories ("atoms", for instance) but not for human ones ("revolutions," for instance). Despite this, much social science research takes place from within an essentialist orientation; those who reject this assumption goes so far in the other direction as to reject the idea of an external reality, independent of human beings, altogether. Mahoney proposes an alternative approach that aspires to bridge this enduring rift in the social sciences between those who take a scientific approach and assume that social science categories correspond to external reality (and thus believe that the methods used in the natural sciences are generally appropriate for the social sciences) and those who take a constructivist approach and believe that because the categories used to understand the social world are humanly-constructed, they cannot possibly follow the science of the natural world. As the name suggests, scientific constructivism brings in aspects of both views and attempts to unite them. Drawing from cognitive science, it focuses on using the rational parts of our brain machinery to overcome the limitations and deeply seated biases (such as essentialism) of our evolved minds. Specifically, Mahoney puts forth a "set-theoretic analysis" that focuses on "sets" of categories as they exist in the mind that are also subject to the mathematical logic of set-theory. He spends the first four chapters of the book establishing the foundations and methods for set-theoretic analysis, the next four chapters looking and how this analysis fits with the existing tools of social science, and the final four chapters focusing on how this approach can be used to study and understand cases"--

The Palgrave Handbook of Quantum Models in Social Science

Emmanuel Haven,Andrei Khrennikov
The Palgrave Handbook of Quantum Models in Social Science Book PDF

Author : Emmanuel Haven,Andrei Khrennikov
Publisher : Springer
Page : 377 pages
File Size : 44,5 Mb
Release : 2017-02-06
Category : Business & Economics
ISBN : 9781137492760

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The Palgrave Handbook of Quantum Models in Social Science by Emmanuel Haven,Andrei Khrennikov Pdf

It is not intuitive to accept that there exists a link between quantum physical systems and cognitive systems. However, recent research has shown that cognitive systems and collective (social) systems, including biology, exhibit uncertainty which can be successfully modelled with quantum probability. The use of such probability allows for the modelling of situations which typically violate the laws of classical probability. The Palgrave Handbook of Quantum Models in Social Science is is a unique volume that brings together contributions from leading experts on key topics in this new and emerging field. Completely self-contained, it begins with an introductory section which gathers all the fundamental notions required to be able to understand later chapters. The handbook then moves on to address some of the latest research and applications for quantum methods in social science disciplines, including economics, politics and psychology. It begins with the issue of how the quantum mechanical framework can be applied to economics. Chapters devoted to this topic range from how Fisher information can be argued to play a role in economics, to the foundations and application of quantum game theory. The handbook then progresses in considering how belief states can be updated with the theory of quantum measurements (and also with more general methods). The practical use of the Hilbert space (and Fock space) in decision theory is then introduced, and open quantum systems are also considered. The handbook also treats a model of neural oscillators that reproduces some of the features of quantum cognition. Other contributions delve into causal reasoning using quantum Bayes nets and the role of quantum probability in modelling so called affective evaluation. The handbook is rounded off with two chapters which discuss the grand challenges which lie ahead of us. How can the quantum formalism be justified in social science and is the traditional quantum formalism too restrictive? Finally, a question is posed: whether there is a necessary role for quantum mathematical models to go beyond physics. This book will bring the latest and most cutting edge research on quantum theory to social science disciplines. Students and researchers across the discipline, as well as those in the fields of physics and mathematics will welcome this important addition to the literature.

Hypothesis Testing and Model Selection in the Social Sciences

David L. Weakliem
Hypothesis Testing and Model Selection in the Social Sciences Book PDF

Author : David L. Weakliem
Publisher : Guilford Publications
Page : 217 pages
File Size : 40,7 Mb
Release : 2016-04-25
Category : Social Science
ISBN : 9781462525652

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Hypothesis Testing and Model Selection in the Social Sciences by David L. Weakliem Pdf

Examining the major approaches to hypothesis testing and model selection, this book blends statistical theory with recommendations for practice, illustrated with real-world social science examples. It systematically compares classical (frequentist) and Bayesian approaches, showing how they are applied, exploring ways to reconcile the differences between them, and evaluating key controversies and criticisms. The book also addresses the role of hypothesis testing in the evaluation of theories, the relationship between hypothesis tests and confidence intervals, and the role of prior knowledge in Bayesian estimation and Bayesian hypothesis testing. Two easily calculated alternatives to standard hypothesis tests are discussed in depth: the Akaike information criterion (AIC) and Bayesian information criterion (BIC). The companion website ([ital]www.guilford.com/weakliem-materials[/ital]) supplies data and syntax files for the book's examples.

Social Scientific Models for Interpreting the Bible

John Pilch
Social Scientific Models for Interpreting the Bible Book PDF

Author : John Pilch
Publisher : BRILL
Page : 448 pages
File Size : 47,7 Mb
Release : 2021-10-01
Category : Religion
ISBN : 9789004496972

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Social Scientific Models for Interpreting the Bible by John Pilch Pdf

Fourteen members of The Context Group honor Bruce J. Malina and his scholarship in this volume by following his consistent example of developing or using explicit social scientific models to interpret documents from the ancient Mediterranean world. Ordinary features of that cultural world such as gossip, reciprocity, a pervasive military presence, the power of women, and becoming a follower of Jesus stand out with greater clarity in the Bible when a reader understands the cultural matrix in which such social dynamics function. These essays reflect The Context Group’s more than twenty years of collaborative experience in researching the cultural context of the Bible. New insights are built on the solidly established foundations of their earlier cross-cultural studies. Readers will find the individual essays enlightening and challenging. Taken as a whole they form a valuable resource and a stimulating and helpful aid to further study.