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.

How to Build Social Science Theories

How to Build Social Science Theories
Author: Pamela J. Shoemaker
Publisher: SAGE Publications, Incorporated
Total Pages: 248
Release: 2004
Genre: Language Arts & Disciplines
ISBN:

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'How to Build Social Science Theories' is an authoritative guide from a theory's genesis, to its dissemination, and through its evaluation.

How to Build Social Science Theories

How to Build Social Science Theories
Author: Pamela J. Shoemaker
Publisher: SAGE Publications, Incorporated
Total Pages: 240
Release: 2003-12-15
Genre: Language Arts & Disciplines
ISBN: 9780761926672

Download How to Build Social Science Theories Book in PDF, Epub and Kindle

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.

Case Studies and Theory Development in the Social Sciences

Case Studies and Theory Development in the Social Sciences
Author: Alexander L. George
Publisher: MIT Press
Total Pages: 347
Release: 2005-04-15
Genre: Political Science
ISBN: 0262262894

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The use of case studies to build and test theories in political science and the other social sciences has increased in recent years. Many scholars have argued that the social sciences rely too heavily on quantitative research and formal models and have attempted to develop and refine rigorous methods for using case studies. This text presents a comprehensive analysis of research methods using case studies and examines the place of case studies in social science methodology. It argues that case studies, statistical methods, and formal models are complementary rather than competitive. The book explains how to design case study research that will produce results useful to policymakers and emphasizes the importance of developing policy-relevant theories. It offers three major contributions to case study methodology: an emphasis on the importance of within-case analysis, a detailed discussion of process tracing, and development of the concept of typological theories. Case Studies and Theory Development in the Social Sciences will be particularly useful to graduate students and scholars in social science methodology and the philosophy of science, as well as to those designing new research projects, and will contribute greatly to the broader debate about scientific methods.

Pathways Between Social Science and Computational Social Science

Pathways Between Social Science and Computational Social Science
Author: Tamás Rudas
Publisher: Springer Nature
Total Pages: 284
Release: 2021-01-22
Genre: Social Science
ISBN: 3030549364

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This volume shows that the emergence of computational social science (CSS) is an endogenous response to problems from within the social sciences and not exogeneous. The three parts of the volume address various pathways along which CSS has been developing from and interacting with existing research frameworks. The first part exemplifies how new theoretical models and approaches on which CSS research is based arise from theories of social science. The second part is about methodological advances facilitated by CSS-related techniques. The third part illustrates the contribution of CSS to traditional social science topics, further attesting to the embedded nature of CSS. The expected readership of the volume includes researchers with a traditional social science background who wish to approach CSS, experts in CSS looking for substantive links to more traditional social science theories, methods and topics, and finally, students working in both fields.

Social Science Research

Social Science Research
Author: Anol Bhattacherjee
Publisher: CreateSpace
Total Pages: 156
Release: 2012-04-01
Genre: Science
ISBN: 9781475146127

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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.

Introduction to the Social Sciences (RLE Social Theory)

Introduction to the Social Sciences (RLE Social Theory)
Author: Maurice Duverger
Publisher: Routledge
Total Pages: 337
Release: 2020-09-10
Genre: Social Science
ISBN: 1000155897

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Professor Duverger at last provides the student with an overall view of the methodology of the social sciences. He briefly traces the origin of the notion of a social science, showing how it emerged from social philosophy. Its essential elements and pre-conditions are described; the splintering of social science into specialist disciplines is explained, and the need for a general sociology confirmed. The techniques of observation used by social scientists are dealt with in some detail and the unity of the social sciences is illustrated by examples of the universal application of these techniques. Documentary evidence in its various forms are described along with the basic analytical techniques, including quantitative methods and content analysis. Other methods of gathering information through polls, interviews, attitude scales and participant observation are all described. Professor Duverger brings together the different kinds of analysis used to assess the information thus gathered. Arguing that observing and theorizing are not two different stages or levels of research, he examines the practical value and difficulties of general sociological theories, partial theories and models and working hypotheses. He both describes and assesses the limitations of experiment and the scope of comparative methods in the social sciences. He then gives elementary instructions for using and assessing the value of mathematical techniques. The possibilities of presenting social phenomena through graphs and charts are also explored. There are useful book lists and diagrams.

Social Science Theory for Environmental Sustainability

Social Science Theory for Environmental Sustainability
Author: Marc J. Stern
Publisher: Oxford University Press
Total Pages: 256
Release: 2018-06-22
Genre: Nature
ISBN: 0192511645

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Social-ecological challenges call for a far better integration of the social sciences into conservation training and practice. Environmental problems are, first and foremost, people problems. Without better understandings of the people involved, solutions are often hard to come by, regardless of expertise in biology, ecology, or other traditional conservation sciences. This novel book provides an accessible survey of a broad range of theories widely applicable to environmental problems that students and practitioners can apply to their work. It serves as a simple reference guide to illuminate the value and utility of social science theories for the practice of environmental conservation. As part of the Techniques in Ecology and Conservation Series, it will be a vital resource for conservation scientists, students, and practitioners to better navigate the social complexities of applying their work to real-world problem-solving.

Building Theories

Building Theories
Author: David Danks
Publisher: Springer
Total Pages: 282
Release: 2018-01-18
Genre: Philosophy
ISBN: 3319727877

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This book explores new findings on the long-neglected topic of theory construction and discovery, and challenges the orthodox, current division of scientific development into discrete stages: the stage of generation of new hypotheses; the stage of collection of relevant data; the stage of justification of possible theories; and the final stage of selection from among equally confirmed theories. The chapters, written by leading researchers, offer an interdisciplinary perspective on various aspects of the processes by which theories rationally should, and descriptively are, built. They address issues such as the role of problem-solving and heuristic reasoning in theory-building; how inferences and models shape the pursuit of scientific knowledge; the relation between problem-solving and scientific discovery; the relative values of the syntactic, semantic, and pragmatic view of theories in understanding theory construction; and the relation between ampliative inferences, heuristic reasoning, and models as a means for building new theories and knowledge. Through detailed arguments and examinations, the volume collectively challenges the orthodox view’s main tenets by characterizing the ways in which the different “stages” are logically, temporally, and psychologically intertwined. As a group, the chapters provide several attempts to answer long-standing questions about the possibility of a unified conceptual framework for building theories and formulating hypotheses.

Theory-Based Data Analysis for the Social Sciences

Theory-Based Data Analysis for the Social Sciences
Author: Carol S. Aneshensel
Publisher: SAGE
Total Pages: 473
Release: 2013
Genre: Reference
ISBN: 1412994357

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This book presents the elaboration model for the multivariate analysis of observational quantitative data. This model entails the systematic introduction of "third variables" to the analysis of a focal relationship between one independent and one dependent variable to ascertain whether an inference of causality is justified. Two complementary strategies are used: an exclusionary strategy that rules out alternative explanations such as spuriousness and redundancy with competing theories, and an inclusive strategy that connects the focal relationship to a network of other relationships, including the hypothesized causal mechanisms linking the focal independent variable to the focal dependent variable. The primary emphasis is on the translation of theory into a logical analytic strategy and the interpretation of results. The elaboration model is applied with case studies drawn from newly published research that serve as prototypes for aligning theory and the data analytic plan used to test it; these studies are drawn from a wide range of substantive topics in the social sciences, such as emotion management in the workplace, subjective age identification during the transition to adulthood, and the relationship between religious and paranormal beliefs. The second application of the elaboration model is in the form of original data analysis presented in two Analysis Journals that are integrated throughout the text and implement the full elaboration model. Using real data, not contrived examples, the text provides a step-by-step guide through the process of integrating theory with data analysis in order to arrive at meaningful answers to research questions.