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Author: Anol Bhattacherjee
Publisher: CreateSpace
ISBN: 9781475146127
Category : Science
Languages : en
Pages : 156
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Book Description
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.
Author: Anol Bhattacherjee
Publisher: CreateSpace
ISBN: 9781475146127
Category : Science
Languages : en
Pages : 156
Get Book Here
Book Description
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.
Author: David C. Lindberg
Publisher: Cambridge University Press
ISBN: 0521572010
Category : History
Languages : en
Pages : 367
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Book Description
A comprehensive and authoritative guide to developments in life and earth sciences since 1800.
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Category : Social sciences
Languages : en
Pages : 434
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Book Description
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Languages : en
Pages : 160
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Book Description
Author: SOCIAL SCIENCE RECORD.
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Languages : en
Pages : 23
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Book Description
Author: Pamela J. Shoemaker
Publisher: SAGE Publications
ISBN: 1452210438
Category : Language Arts & Disciplines
Languages : en
Pages : 241
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Book Description
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.
Author: Donald K. Sharpes
Publisher: Lexington Books
ISBN: 9780739128121
Category : History
Languages : en
Pages : 314
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Book Description
This book charts the development of the main social sciences_religion, history, philosophy, law, sociology, anthropology, and economics_through an examination of the lives and works of each discipline's key historical figures.
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Category : Social sciences
Languages : en
Pages : 216
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Book Description
Author: Cyril Lemieux
Publisher: MIT Press
ISBN: 0262374390
Category : Social Science
Languages : en
Pages : 346
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Book Description
An intellectual history of the social sciences that offers a library of 101 books that broke new ground for the field. What are the social sciences? What unifies them? This essay collection seeks to answer these and other important questions as it considers how the field has developed over the years, from post–World War II to the present day throughout the world. Edited by Cyril Lemieux, Laurent Berger, Marielle Macé, Gildas Salmon, and Cécile Vidal, A History of the Social Sciences in 101 Books brings together a diverse range of researchers in the social sciences to present short essays on 101 books—both renowned and lesser known—that have shaped the field, from Theodor Adorno and Max Horkheimer’s Dialectic of Enlightenment (1947) to Michel Aglietta’s Money: 5000 Years of Debt and Power (2016). While there have been surveys and intellectual histories of particular disciplines within the social sciences (history, anthropology, sociology), until now there has been no intellectual history of the social sciences as a unified whole. Far from presenting a fixed and frozen canon, A History of the Social Sciences in 101 Books offers instead a moving, multiform landscape with no settled questions, only an ongoing series of new perspectives and challenges to previously established grounding.
Author: Ian Foster
Publisher: CRC Press
ISBN: 100020863X
Category : Mathematics
Languages : en
Pages : 320
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Book Description
Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research principles and current analytical and computational tools. The text teaches you how to identify and collect appropriate data, apply data science methods and tools to the data, and recognize and respond to data errors, biases, and limitations. Features: Takes an accessible, hands-on approach to handling new types of data in the social sciences Presents the key data science tools in a non-intimidating way to both social and data scientists while keeping the focus on research questions and purposes Illustrates social science and data science principles through real-world problems Links computer science concepts to practical social science research Promotes good scientific practice Provides freely available workbooks with data, code, and practical programming exercises, through Binder and GitHub New to the Second Edition: Increased use of examples from different areas of social sciences New chapter on dealing with Bias and Fairness in Machine Learning models Expanded chapters focusing on Machine Learning and Text Analysis Revamped hands-on Jupyter notebooks to reinforce concepts covered in each chapter This classroom-tested book fills a major gap in graduate- and professional-level data science and social science education. It can be used to train a new generation of social data scientists to tackle real-world problems and improve the skills and competencies of applied social scientists and public policy practitioners. It empowers you to use the massive and rapidly growing amounts of available data to interpret economic and social activities in a scientific and rigorous manner.
