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Author: Pablo Lorenzano Publisher: EOLSS Publications ISBN: 1848263252 Category : Languages : en Pages : 394
Book Description
History and Philosophy of Science and Technology is a component of Encyclopedia of Physical Sciences, Engineering and Technology Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. The Theme on History and Philosophy of Science and Technology in four volumes covers several topics such as: Introduction to the Philosophy of Science; The Nature and Structure of Scientific Theories Natural Science; A Short History of Molecular Biology; The Structure of the Darwinian Argument In The Origin of Species; History of Measurement Theory; Episodes of XX Century Cosmology: A Historical Approach; Philosophy of Economics; Social Sciences: Historical And Philosophical Overview of Methods And Goals; Introduction to Ethics of Science and Technology; The Ethics of Science and Technology; The Control of Nature and the Origins of The Dichotomy Between Fact And Value; Science and Empires: The Geo-Epistemic Location of Knowledge; Science and Religion; Scientific Knowledge and Religious Knowledge - Significant Epistemological Reference Points; Thing Called Philosophy of Technology; Transitions from Function-Oriented To Effect-Oriented Technologies. Some Thought on the Nature of Modern Technology; Technical Agency and Sources of Technological Pessimism These four volumes are aimed at a broad spectrum of audiences: University and College Students, Educators and Research Personnel.
Author: Mark Solovey Publisher: MIT Press ISBN: 0262358751 Category : Political Science Languages : en Pages : 409
Book Description
How the NSF became an important yet controversial patron for the social sciences, influencing debates over their scientific status and social relevance. In the early Cold War years, the U.S. government established the National Science Foundation (NSF), a civilian agency that soon became widely known for its dedication to supporting first-rate science. The agency's 1950 enabling legislation made no mention of the social sciences, although it included a vague reference to "other sciences." Nevertheless, as Mark Solovey shows in this book, the NSF also soon became a major--albeit controversial--source of public funding for them.
Author: Paul Diesing Publisher: University of Pittsburgh Press ISBN: 0822971534 Category : Social Science Languages : en Pages : 430
Book Description
The culmination of a lifetime spent in a variety of fields - sociology, anthropology, economics, psychology, and philosophy of science - How Does Social Science Work? takes an innovative, sometimes iconoclastic look at social scientists at work in many disciplines. It describes how they investigate and the kinds of truth they produce, illuminating the weaknesses and dangers inherent in their research.At once an analysis, a critique, and a synthesis, this major study begins by surveying philosophical approaches to hermeneutics, to examine the question of how social science ought to work. It illustrates many of its arguments with untraditional examples, such as the reception of the work of the political biographer Robert Caro to show the hermeneutical problems of ethnographers. The major part of the book surveys sociological, political, and psychological studies of social science to get a rounded picture of how social science works,Paul Diesling warns that "social science exists between two opposite kinds of degeneration, a value-free professionalism that lives only for publications that show off the latest techniques, and a deep social concern that uses science for propaganda." He argues for greater self-awareness and humility among social scientists, although he notes that "some social scientists . . . will angrily reject the thought that their personality affects their research in any way."This profound and sometimes witty book will appeal to students and practitioners in the social sciences who are ready to take a fresh look at their field. An extensive bibliography provides a wealth of references across an array of social science disciplines.
Author: Garret Christensen Publisher: University of California Press ISBN: 0520296931 Category : Social Science Languages : en Pages : 266
Book Description
Recently, social science has had numerous episodes of influential research that was found invalid when placed under rigorous scrutiny. The growing sense that many published results are potentially erroneous has made those conducting social science research more determined to ensure the underlying research is sound. Transparent and Reproducible Social Science Research is the first book to summarize and synthesize new approaches to combat false positives and non-reproducible findings in social science research, document the underlying problems in research practices, and teach a new generation of students and scholars how to overcome them. Understanding that social science research has real consequences for individuals when used by professionals in public policy, health, law enforcement, and other fields, the book crystallizes new insights, practices, and methods that help ensure greater research transparency, openness, and reproducibility. Readers are guided through well-known problems and are encouraged to work through new solutions and practices to improve the openness of their research. Created with both experienced and novice researchers in mind, Transparent and Reproducible Social Science Research serves as an indispensable resource for the production of high quality social science research.
Author: Anol Bhattacherjee Publisher: CreateSpace ISBN: 9781475146127 Category : Science Languages : en Pages : 156
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: Kosuke Imai Publisher: Princeton University Press ISBN: 0691191093 Category : Political Science Languages : en Pages : 464
Book Description
"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"--
Author: Pamela J. Shoemaker Publisher: SAGE Publications ISBN: 1452210438 Category : Language Arts & Disciplines Languages : en Pages : 241
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: Elena Llaudet Publisher: Princeton University Press ISBN: 0691199434 Category : Computers Languages : en Pages : 256
Book Description
"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--
Author: Ashley T. Rubin Publisher: Stanford University Press ISBN: 1503628248 Category : Social Science Languages : en Pages : 398
Book Description
Unlike other athletes, the rock climber tends to disregard established norms of style and technique, doing whatever she needs to do to get to the next foothold. This figure provides an apt analogy for the scholar at the center of this unique book. In Rocking Qualitative Social Science, Ashley Rubin provides an entertaining treatise, corrective vision, and rigorously informative guidebook for qualitative research methods that have long been dismissed in deference to traditional scientific methods. Recognizing the steep challenges facing many, especially junior, social science scholars who struggle to adapt their research models to narrowly defined notions of "right," Rubin argues that properly nourished qualitative research can generate important, creative, and even paradigm-shifting insights. This book is designed to help people conduct good qualitative research, talk about their research, and evaluate other scholars' work. Drawing on her own experiences in research and life, Rubin provides tools for qualitative scholars, synthesizes the best advice, and addresses the ubiquitous problem of anxiety in academia. Ultimately, this book argues that rigorous research can be anything but rigid.
Author: Gerard Delanty Publisher: U of Minnesota Press ISBN: 9780816631278 Category : Social Science Languages : en Pages : 180
Book Description
It is argued that the conception of social science emerging today is one that involves a synthesis of radical constructivism and critical realism. The crucial challenge facing social science is a question of its public role: growing reflexivity in society has implications for the social production of knowledge and is bringing into question the separation of expert systems from other forms of knowledge.
Author: Pablo Lorenzano
Author: Mark Solovey
Author: Paul Diesing
Author: Garret Christensen
Author: Anol Bhattacherjee
Author: Kosuke Imai
Author: Pamela J. Shoemaker
Author: Elena Llaudet
Author: Ashley T. Rubin
Author: Gerard Delanty
Author: Gary Goertz