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An Introduction to Models in the Social Sciences

1993 Social Science
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Release : 1993
Genre : Social Science
Kind : eBook
Book Rating : 811/5 ( reviews)

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Book Synopsis An Introduction to Models in the Social Sciences by : Charles A. Lave

Download or read book An Introduction to Models in the Social Sciences written by Charles A. Lave. This book was released on 1993. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Formal Modeling in Social Science

2019-09-03 Political Science
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Release : 2019-09-03
Genre : Political Science
Kind : eBook
Book Rating : 236/5 ( reviews)

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Book Synopsis Formal Modeling in Social Science by : Carol Mershon

Download or read book Formal Modeling in Social Science written by Carol Mershon. This book was released on 2019-09-03. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Quantitative Social Science

2021-03-16 Political Science
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Release : 2021-03-16
Genre : Political Science
Kind : eBook
Book Rating : 093/5 ( reviews)

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Book Synopsis Quantitative Social Science by : Kosuke Imai

Download or read book Quantitative Social Science written by Kosuke Imai. This book was released on 2021-03-16. Available in PDF, EPUB and Kindle. Book excerpt: "Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--

Statistical Modeling and Inference for Social Science

2014-06-09 Business & Economics
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Release : 2014-06-09
Genre : Business & Economics
Kind : eBook
Book Rating : 148/5 ( reviews)

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Book Synopsis Statistical Modeling and Inference for Social Science by : Sean Gailmard

Download or read book Statistical Modeling and Inference for Social Science written by Sean Gailmard. This book was released on 2014-06-09. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introduction to Computational Social Science

2017-06-29 Computers
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Release : 2017-06-29
Genre : Computers
Kind : eBook
Book Rating : 313/5 ( reviews)

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Book Synopsis Introduction to Computational Social Science by : Claudio Cioffi-Revilla

Download or read book Introduction to Computational Social Science written by Claudio Cioffi-Revilla. This book was released on 2017-06-29. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a comprehensive and reader-friendly introduction to the field of computational social science (CSS). Presenting a unified treatment, the text examines in detail the four key methodological approaches of automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. This updated new edition has been enhanced with numerous review questions and exercises to test what has been learned, deepen understanding through problem-solving, and to practice writing code to implement ideas. Topics and features: contains more than a thousand questions and exercises, together with a list of acronyms and a glossary; examines the similarities and differences between computers and social systems; presents a focus on automated information extraction; discusses the measurement, scientific laws, and generative theories of social complexity in CSS; reviews the methodology of social simulations, covering both variable- and object-oriented models.

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