Formal Modeling in Social Science

Formal Modeling in Social Science
Author: Carol Mershon
Publisher: University of Michigan Press
Total Pages: 257
Release: 2019-09-03
Genre: Political Science
ISBN: 0472054236

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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.

How to Build Social Science Theories

How to Build Social Science Theories
Author: Pamela J. Shoemaker
Publisher: SAGE Publications
Total Pages: 241
Release: 2003-12-10
Genre: Language Arts & Disciplines
ISBN: 1452210438

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Click ′Additional Materials′ to read the foreword by Jerald Hage 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. How to Build Social Science Theories is a sophisticated yet readable analysis presented by internationally known experts in social science methodology. It is designed primarily as a core text for graduate and advanced undergraduate courses in communication theory. It will also be a perfect addition to any course dealing with theory and research methodology across the social sciences. Additionally, professional researchers will find it an indispensable guide to the genesis, dissemination, and evaluation of social science theories.

The Use of Models in the Social Sciences

The Use of Models in the Social Sciences
Author: Lyndhurst Collins
Publisher: Routledge
Total Pages: 264
Release: 2013-11-05
Genre: Social Science
ISBN: 1136444963

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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.

An Introduction to Models in the Social Sciences

An Introduction to Models in the Social Sciences
Author: Charles A. Lave
Publisher: University Press of America
Total Pages: 436
Release: 1993
Genre: Social Science
ISBN: 9780819183811

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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.

Models as Mediators

Models as Mediators
Author: Mary S. Morgan
Publisher: Cambridge University Press
Total Pages: 420
Release: 1999-10-21
Genre: Business & Economics
ISBN: 9780521655712

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

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

Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View
Author: R. Hegselmann
Publisher: Springer Science & Business Media
Total Pages: 332
Release: 2013-03-09
Genre: Social Science
ISBN: 9401586861

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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.

Statistical Modeling and Inference for Social Science

Statistical Modeling and Inference for Social Science
Author: Sean Gailmard
Publisher: Cambridge University Press
Total Pages: 393
Release: 2014-06-09
Genre: Business & Economics
ISBN: 1107003148

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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.

Use Of Models Soc Science

Use Of Models Soc Science
Author: Lyndhurst Collins
Publisher: Routledge
Total Pages: 238
Release: 2019-07-23
Genre: Social Science
ISBN: 1000003655

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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.

Hypothesis Testing and Model Selection in the Social Sciences

Hypothesis Testing and Model Selection in the Social Sciences
Author: David L. Weakliem
Publisher: Guilford Publications
Total Pages: 217
Release: 2016-04-25
Genre: Social Science
ISBN: 1462525652

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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.

Essays on the Structure of Social Science Models

Essays on the Structure of Social Science Models
Author: Albert Ando
Publisher: MIT Press
Total Pages: 184
Release: 1963
Genre: Social Science
ISBN:

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A set of related papers dealing with the meaning of causality in simulataneous dynamic equation systems. Investigation of the systems which only approximately satisfy the conditions enabling the definition of causality, leads to a set of limiting theorems concerning the dynamic behavior of such systems over time, and estimation procedures for the parameters of such systems. Implications of these theorems for some well-known propositions in economics and other social sciences are considered.