Probability and Social Science

Methodological Relationships between the two Approaches
Author: Daniel Courgeau
Publisher: Springer Science & Business Media
ISBN: 9400728786
Category: Social Science
Page: 310
View: 6389
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This work examines in depth the methodological relationships that probability and statistics have maintained with the social sciences from their emergence. It covers both the history of thought and current methods. First it examines in detail the history of the different paradigms and axioms for probability, from their emergence in the seventeenth century up to the most recent developments of the three major concepts: objective, subjective and logicist probability. It shows the statistical inference they permit, different applications to social sciences and the main problems they encounter. On the other side, from social sciences—particularly population sciences—to probability, it shows the different uses they made of probabilistic concepts during their history, from the seventeenth century, according to their paradigms: cross-sectional, longitudinal, hierarchical, contextual and multilevel approaches. While the ties may have seemed loose at times, they have more often been very close: some advances in probability were driven by the search for answers to questions raised by the social sciences; conversely, the latter have made progress thanks to advances in probability. This dual approach sheds new light on the historical development of the social sciences and probability, and on the enduring relevance of their links. It permits also to solve a number of methodological problems encountered all along their history.

Methodological Investigations in Agent-Based Modelling

With Applications for the Social Sciences
Author: Eric Silverman
Publisher: Springer
ISBN: 3319724088
Category: Social Science
Page: 235
View: 6713
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This open access book examines the methodological complications of using complexity science concepts within the social science domain. The opening chapters take the reader on a tour through the development of simulation methodologies in the fields of artificial life and population biology, then demonstrates the growing popularity and relevance of these methods in the social sciences. Following an in-depth analysis of the potential impact of these methods on social science and social theory, the text provides substantive examples of the application of agent-based models in the field of demography. This work offers a unique combination of applied simulation work and substantive, in-depth philosophical analysis, and as such has potential appeal for specialist social scientists, complex systems scientists, and philosophers of science interested in the methodology of simulation and the practice of interdisciplinary computing research.​

Agent-Based Modelling in Population Studies

Concepts, Methods, and Applications
Author: André Grow,Jan Van Bavel
Publisher: Springer
ISBN: 3319322834
Category: Social Science
Page: 513
View: 4105
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This book examines the use of agent-based modelling (ABM) in population studies, from concepts to applications, best practices to future developments. It features papers written by leading experts in the field that will help readers to better understand the usefulness of ABM for population projections, how ABM can be injected with empirical data to achieve a better match between model and reality, how geographic information can be fruitfully used in ABM, and how ABM results can be reported effectively and correctly. Coverage ranges from detailing the relation between ABM and existing paradigms in population studies to infusing agent-based models with empirical data. The papers show the benefits that ABM offers the field, including enhanced theory formation by better linking the micro level with the macro level, the ability to represent populations more adequately as complex systems, and the possibility to study rare events and the implications of alternative mechanisms in artificial laboratories. In addition, readers will discover guidelines and best practices with detailed examples of how to apply agent-based models in different areas of population research, including human mating behaviour, migration, and socio-structural determinants of health behaviours. Earlier versions of the papers in this book have been presented at the workshop “Recent Developments and Future Directions in Agent-Based Modelling in Population Studies,” which took place at the University of Leuven (KU Leuven), Belgium, in September 2014. The book will contribute to the development of best practices in the field and will provide a solid point of reference for scholars who want to start using agent-based modelling in their own research.

Sequence Analysis and Related Approaches


Author: Gilbert Ritschard
Publisher: Springer
ISBN: 3319954202
Category:
Page: N.A
View: 2355
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The SAGE Encyclopedia of Social Science Research Methods


Author: Michael Lewis-Beck,Alan E Bryman,Tim Futing Liao
Publisher: SAGE Publications
ISBN: 1452261458
Category: Social Science
Page: 1528
View: 8124
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"This defining work will be valuable to readers and researchers in social sciences and humanities at all academic levels. As a teaching resource it will be useful to instructors and students alike and will become a standard reference source. Essential for general and academic collections." --CHOICE This Encyclopedia provides readers with authoritative essays on virtually all social science methods topics, quantitative and qualitative, by an international collection of experts. Organized alphabetically, the Encyclopedia of Social Science Research Methods covers research terms ranging from different methodological approaches to epistemological issues and specific statistical techniques. Written to be accessible to general readers, the Encyclopedia entries do not require advanced knowledge of mathematics or statistics to understand the purposes or basic principles of any of the methods. To accomplish this goal, there are two major types of entries: definitions consisting of a paragraph or two to provide a quick explanation of a methodological term; and topical treatments or essays that discuss the nature, history, applications, and implications of using a certain method, including suggested readings and references. Readers are directed to related topics via cross-referenced terms that appear in small capital letters. By assembling entries of varied origins and serving different research purposes, readers will be able to benefit from this immense source of methodological expertise in advancing their understanding of research. With three volumes and more than 900 signed entries, the Encyclopedia of Social Science Research Methods will be a critical addition to any social science library.

Statistical Modeling and Inference for Social Science


Author: Sean Gailmard
Publisher: Cambridge University Press
ISBN: 1107003148
Category: Business & Economics
Page: 388
View: 631
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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 gain the ability to create, read and critique statistical applications in their fields of interest.

Time Series Analysis for the Social Sciences


Author: Janet M. Box-Steffensmeier,John R. Freeman,Matthew P. Hitt,Jon C. W. Pevehouse
Publisher: Cambridge University Press
ISBN: 1316060500
Category: Political Science
Page: N.A
View: 7244
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Time series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties of their data as a nuisance rather than a substantively meaningful dynamic process to be modeled and interpreted. Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. Janet M. Box-Steffensmeier, John R. Freeman, Jon C. Pevehouse and Matthew P. Hitt cover a wide range of topics including ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting. This book is aimed at researchers and graduate students who have taken at least one course in multivariate regression. Examples are drawn from several areas of social science, including political behavior, elections, international conflict, criminology, and comparative political economy.

Methodology and Epistemology of Multilevel Analysis

Approaches from Different Social Sciences
Author: D. Courgeau
Publisher: Springer Science & Business Media
ISBN: 9781402014758
Category: Business & Economics
Page: 235
View: 8162
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The possibility to analyse human behaviours taking account of the multiple contexts in which they occur, is opening a new research avenue in social sciences. This book considers, through examples drawn from different social sciences, the methodological challenges multilevel analysis permits to answer and points out some limitations of these models. It also considers the more general philosophical and epistemological issues raised by their use, as the multilevel approach offers a mean to combine causal and systemic explanations.

The Oxford Handbook of Political Methodology


Author: Janet M. Box-Steffensmeier,Henry E. Brady,David Collier
Publisher: Oxford University Press on Demand
ISBN: 9780199286546
Category: Political Science
Page: 880
View: 728
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The Oxford Handbooks of Political Science are the essential guide to the state of political science today. With engaging contributions from major international scholars The Oxford Handbook of Political Methodology provides the key point of reference for anyone working throughout the discipline.

Social Science Research

Principles, Methods, and Practices
Author: Anol Bhattacherjee
Publisher: CreateSpace
ISBN: 9781475146127
Category: Science
Page: 156
View: 2776
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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.

Methodology of Social Sciences


Author: Max Weber
Publisher: Routledge
ISBN: 1351505572
Category: Social Science
Page: 256
View: 5854
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Max Weber wrote these methodological essays in the closest intimacy with actual research and against a background of constant and intensive meditation on substantive problems in the theory and strategy of the social sciences. They were written between 1903 and 1917, the most productive of Max Weber's life, when he was working on his studies in the sociology of religion and Wirtschaft und Gesellschaft.Weber had done important work in economic and legal history and had taught economic theory. On the basis of original investigations, he had acquired a specialist's knowledge of the details of German economic and social structure. His always vital concern for the political prosperity of Germany among the nations thrust him deeply into discussion of political ideals and programs.Weber's methodology still holds interest for us. Some of its shortcomings, from the contemporary viewpoint, may be attributed to the fact that some of the methodological problems that he treated could not be satisfactorily resolved prior to certain actual developments in research technique. These few qualifications aside, the work remains a pioneering work in large scale social research, from one of the field's masters.

A Mathematical Primer for Social Statistics


Author: John Fox
Publisher: SAGE
ISBN: 1412960800
Category: Mathematics
Page: 170
View: 9812
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Beyond the introductory level, learning and effectively using statistical methods in the social sciences requires some knowledge of mathematics. This handy volume introduces the areas of mathematics that are most important to applied social statistics.

A Mathematics Course for Political and Social Research


Author: Will H. Moore,David A. Siegel
Publisher: Princeton University Press
ISBN: 140084861X
Category: Political Science
Page: 456
View: 4052
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Political science and sociology increasingly rely on mathematical modeling and sophisticated data analysis, and many graduate programs in these fields now require students to take a "math camp" or a semester-long or yearlong course to acquire the necessary skills. Available textbooks are written for mathematics or economics majors, and fail to convey to students of political science and sociology the reasons for learning often-abstract mathematical concepts. A Mathematics Course for Political and Social Research fills this gap, providing both a primer for math novices in the social sciences and a handy reference for seasoned researchers. The book begins with the fundamental building blocks of mathematics and basic algebra, then goes on to cover essential subjects such as calculus in one and more than one variable, including optimization, constrained optimization, and implicit functions; linear algebra, including Markov chains and eigenvectors; and probability. It describes the intermediate steps most other textbooks leave out, features numerous exercises throughout, and grounds all concepts by illustrating their use and importance in political science and sociology. Uniquely designed and ideal for students and researchers in political science and sociology Uses practical examples from political science and sociology Features "Why Do I Care?" sections that explain why concepts are useful Includes numerous exercises Complete online solutions manual (available only to professors, email david.siegel at duke.edu, subject line "Solution Set") Selected solutions available online to students

Bayesian Methods

A Social and Behavioral Sciences Approach, Third Edition
Author: Jeff Gill
Publisher: CRC Press
ISBN: 1439862494
Category: Mathematics
Page: 724
View: 8054
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An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social Scientists Now that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition focuses more on implementation details of the procedures and less on justifying procedures. The expanded examples reflect this updated approach. New to the Third Edition A chapter on Bayesian decision theory, covering Bayesian and frequentist decision theory as well as the connection of empirical Bayes with James–Stein estimation A chapter on the practical implementation of MCMC methods using the BUGS software Greatly expanded chapter on hierarchical models that shows how this area is well suited to the Bayesian paradigm Many new applications from a variety of social science disciplines Double the number of exercises, with 20 now in each chapter Updated BaM package in R, including new datasets, code, and procedures for calling BUGS packages from R This bestselling, highly praised text continues to be suitable for a range of courses, including an introductory course or a computing-centered course. It shows students in the social and behavioral sciences how to use Bayesian methods in practice, preparing them for sophisticated, real-world work in the field.

Doing Quantitative Research in the Social Sciences

An Integrated Approach to Research Design, Measurement and Statistics
Author: Thomas R Black
Publisher: SAGE
ISBN: 1446223639
Category: Social Science
Page: 768
View: 6286
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This original textbook provides a comprehensive and integrated approach to using quantitative methods in the social sciences. Thomas R Black guides the student and researcher through the minefield of potential problems that may be confronted, and it is this emphasis on the practical that distinguishes his book from others which focus exclusively on either research design and measurement or statistical methods. Focusing on the design and execution of research, key topics such as planning, sampling, the design of measuring instruments, choice of statistical text and interpretation of results are examined within the context of the research process. In a lively and accessible style, the student is introduced to researc design issues alongside statistical procedures and encouraged to develop analytical and decision-making skills.

The SAGE Handbook of Quantitative Methodology for the Social Sciences


Author: David Kaplan
Publisher: SAGE Publications
ISBN: 1483365875
Category: Social Science
Page: 528
View: 8830
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The SAGE Handbook of Quantitative Methodology for the Social Sciences is the definitive reference for teachers, students, and researchers of quantitative methods in the social sciences, as it provides a comprehensive overview of the major techniques used in the field. The contributors, top methodologists and researchers, have written about their areas of expertise in ways that convey the utility of their respective techniques, but, where appropriate, they also offer a fair critique of these techniques. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter and makes this an invaluable resource.

Identification Problems in the Social Sciences


Author: Charles F. Manski
Publisher: Harvard University Press
ISBN: 9780674442849
Category: Social Science
Page: 172
View: 2766
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The author draws on examples from a range of disciplines to provide social and behavioural scientists with a toolkit for finding bounds when predicting behaviours based upon nonexperimental and experimental data.

The SAGE Handbook of Applied Social Research Methods


Author: Leonard Bickman,MS Debra J Rog
Publisher: SAGE
ISBN: 1412950317
Category: Social Science
Page: 661
View: 7499
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The SAGE Handbook of Applied Social Research Methods, Second Edition provides students and researchers with the most comprehensive resource covering core methods, research designs, and data collection, management, and analysis issues. This thoroughly revised edition continues to place critical emphasis on finding the tools that best fit the research question given the constraints of deadlines, budget, and available staff. Each chapter offers key guidance on how to make intelligent and conscious tradeoffs so that one can refine and hone the research question as new knowledge is gained, unanticipated obstacles are encountered, or contextual shifts take place - all key elements in the iterative nature of applied research. Each chapter has been enhanced pedagogically to include more step-by-step procedures, specific, rich yet practical examples from various settings to illustrate the method, parameters to define when the method is most appropriate and when it is not appropriate, and greater use of visual aids (graphs, models, tip boxes) to provide teaching and learning tools. - twenty core chapters written by research experts that cover major methods and data analysis issues across the social and behavioral sciences, education, and management; - emphasis on applying research techniques, particularly in "real-world" settings in which there are various data, money, time, and political constraints; - new chapters on mixed methods, qualitative comparative analysis, concept mapping, and internet data collection; - a newly developed section that serves as a guide for students who are navigating through the book and attempting to translate the chapters into action; - a new Instructor's Resources CD, with relevant journal articles, test questions, and exercises to aid the instructor in developing appropriate course materials.

Monte Carlo Simulation and Resampling Methods for Social Science


Author: Thomas M. Carsey,Jeffrey J. Harden
Publisher: SAGE Publications
ISBN: 1483324923
Category: Social Science
Page: 304
View: 5304
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Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, Monte Carlo Simulation and Resampling Methods for Social Science, by Thomas M. Carsey and Jeffrey J. Harden, examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The book includes basic examples appropriate for readers learning the material for the first time, as well as more advanced examples that a researcher might use to evaluate an estimator he or she was using in an actual research project. The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model results, and cross-validation. Complete R code from all examples is provided so readers can replicate every analysis presented using R.

Current Research for the Information Profession


Author: Pirkko Elliott
Publisher: N.A
ISBN: N.A
Category: Library science
Page: 271
View: 5001
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