Doing Computational Social Science PDF Download
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Author: John McLevey
Publisher: SAGE
ISBN: 1529736706
Category : Business & Economics
Languages : en
Pages : 689
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Book Description
Computational approaches offer exciting opportunities for us to do social science differently. This beginner’s guide discusses a range of computational methods and how to use them to study the problems and questions you want to research. It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach in any discipline. The book also: Considers important principles of social scientific computing, including transparency, accountability and reproducibility. Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases. Empowers you to learn at your own pace, with online resources including screencast tutorials and datasets that enable you to practice your skills and get up to speed. For anyone who wants to use computational methods to conduct a social science research project, this book equips you with the skills, good habits and best working practices to do rigorous, high quality work.
Author: John McLevey
Publisher: SAGE
ISBN: 1529736706
Category : Business & Economics
Languages : en
Pages : 689
Get Book Here
Book Description
Computational approaches offer exciting opportunities for us to do social science differently. This beginner’s guide discusses a range of computational methods and how to use them to study the problems and questions you want to research. It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach in any discipline. The book also: Considers important principles of social scientific computing, including transparency, accountability and reproducibility. Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases. Empowers you to learn at your own pace, with online resources including screencast tutorials and datasets that enable you to practice your skills and get up to speed. For anyone who wants to use computational methods to conduct a social science research project, this book equips you with the skills, good habits and best working practices to do rigorous, high quality work.
Author: Mark Petticrew
Publisher: John Wiley & Sons
ISBN: 1405150149
Category : Psychology
Languages : en
Pages : 352
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Book Description
Such diverse thinkers as Lao-Tze, Confucius, and U.S. Defense Secretary Donald Rumsfeld have all pointed out that we need to be able to tell the difference between real and assumed knowledge. The systematic review is a scientific tool that can help with this difficult task. It can help, for example, with appraising, summarising, and communicating the results and implications of otherwise unmanageable quantities of data. This book, written by two highly-respected social scientists, provides an overview of systematic literature review methods: Outlining the rationale and methods of systematic reviews; Giving worked examples from social science and other fields; Applying the practice to all social science disciplines; It requires no previous knowledge, but takes the reader through the process stage by stage; Drawing on examples from such diverse fields as psychology, criminology, education, transport, social welfare, public health, and housing and urban policy, among others. Including detailed sections on assessing the quality of both quantitative, and qualitative research; searching for evidence in the social sciences; meta-analytic and other methods of evidence synthesis; publication bias; heterogeneity; and approaches to dissemination.
Author: Phillip C. Shon
Publisher: SAGE
ISBN: 1473933633
Category : Language Arts & Disciplines
Languages : en
Pages : 145
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Book Description
This superb guide teaches you how to read critically. Its no-nonsense, practical approach uses a specially developed reading code to help you read articles for your research project; this simple code enables you to decipher journal articles structurally, mechanically and grammatically. Refreshingly free of jargon and written with you in mind, it’s packed full of interdisciplinary advice that helps you to decode and critique academic writing. The author’s fuss free approach will improve your performance, boost your confidence and help you to: Read and better understand content Take relevant effective notes Manage large amounts of information in an easily identifiable and retrievable format Write persuasively using formal academic language and style. New to this edition: Additional examples across a range of subjects, including education, health and sociology as well as criminology Refined terminology for students in the UK, as well as around the world More examples dealing specifically with journal articles. Clear, focused and practical this handy guide is a great resource for helping you sharpen your use of journal articles and improve your academic writing skills. ‘I have used the book over the last five years with my students with great success. The book has helped students to develop their critical thinking, reading and writing skills and when it comes to writing a dissertation they have used the code sheet in their own writing.’ - Pete Allison, Head of the Graduate School of Education, University of Edinburgh The Student Success series are essential guides for students of all levels. From how to think critically and write great essays to planning your dream career, the Student Success series helps you study smarter and get the best from your time at university. Visit the SAGE Study Skills hub for tips and resources for study success!
Author: Timothy Lintner
Publisher: IAP
ISBN: 1617355895
Category : Education
Languages : en
Pages : 111
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Book Description
With the national push towards inclusion, more students with disabilities are being placed in general education settings. Furthermore, when placed, more students with disabilities are entering social studies classrooms than any other content area. Classroom teachers are being asked to “reach and teach” all students, often with little support. There are numerous texts on the teaching of social studies, an equal number on teaching students with disabilities. Blending best practice in social studies and special education instruction, this book provides both pre – and in-service educators simple, practical strategies that support the creation of engaging, relevant, and appropriate social studies opportunities for all students. Though the strategies presented are useful for all students, they are particularly beneficial for students with disabilities. From Universal Design for Learning, mnemonics, graphic organizers, and big ideas, to co-teaching, screen readers and the Virtual History Museum, this book offers hands-on, practical ideas general educators can use when teaching K-12 social studies in inclusive classrooms.
Author: Elena Llaudet
Publisher: Princeton University Press
ISBN: 0691199434
Category : Computers
Languages : en
Pages : 256
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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: Murray Webster
Publisher: Elsevier
ISBN: 0080546145
Category : Education
Languages : en
Pages : 574
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Book Description
Laboratory Experiments in the Social Sciences is the only book providing core information for researchers about the ways and means to conduct experiments. Its comprehensive regard for laboratory experiments encompasses "how-to explanations, investigations of philosophies and ethics, explorations of experiments in specific social science disciplines, and summaries of both the history and future of social science laboratories. No other book offers such a direct avenue to enlarging our knowledge in the social sciences.This collection of original chapters combines instructions and advice about the design of laboratory experiments in the social sciences with the array of other issues. While there are books on experimental design and chapters in more general methods books on design, theory, and ethical issues, no other book attempts to discuss the fundamental ideas of the philosophy of science or lays out the methods comprehensively or in such detail. Experimentation has recently prospered because of increasing interest in cross-disciplinary syntheses, and this book of advice, guidelines, and observations underline its potential and increasing importance.· Provides a comprehensive summary of issues in social science experimentation, from ethics to design, management, and financing· Offers "how-to" explanations of the problems and challenges faced by everyone involved in social science experiments· Pays attention to both practical problems and to theoretical and philosophical arguments· Defines commonalities and distinctions within and among experimental situations across the social sciences
Author: Ian Foster
Publisher: CRC Press
ISBN: 1498751431
Category : Mathematics
Languages : en
Pages : 493
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Book Description
Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.
Author: Bent Flyvbjerg
Publisher: Cambridge University Press
ISBN: 1107000254
Category : Philosophy
Languages : en
Pages : 321
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Book Description
A new, hands-on approach to social inquiry for social scientists who wish to make a difference to policy and practice.
Author: Kosuke Imai
Publisher: Princeton University Press
ISBN: 0691191093
Category : Political Science
Languages : en
Pages : 464
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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: Marc J. Stern
Publisher: Oxford University Press
ISBN: 0192511645
Category : Nature
Languages : en
Pages : 308
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Book Description
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.
