Author : Joan E. Sieber
Publisher : SAGE
Page : 177 pages
File Size : 17,82 MB
Release : 1991-02-12
Category : Education
ISBN : 0803940831
This book represents the major accomplishments of social scientists who have pioneered in data sharing, highlighting the advantages for social science. It includes an examination of the reasons for data sharing, the specific sharing practices in various disciplines, the factors affecting the usefulness of shared data and individual and institutional concerns about data sharing. It will be useful to academics across the social sciences.
Author : Elena Llaudet
Publisher : Princeton University Press
Page : 256 pages
File Size : 32,82 MB
Release : 2022-11-29
Category : Computers
ISBN : 0691199434
"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 : Phillip D. Brooker
Publisher : SAGE
Page : 370 pages
File Size : 26,49 MB
Release : 2019-12-09
Category : Social Science
ISBN : 1526486342
As data become ′big′, fast and complex, the software and computing tools needed to manage and analyse them are rapidly developing. Social scientists need new tools to meet these challenges, tackle big datasets, while also developing a more nuanced understanding of - and control over - how these computing tools and algorithms are implemented. Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science, specifically for social science researchers, assuming no prior coding knowledge. It guides you through the full research process, from question to publication, including: the fundamentals of why and how to do your own programming in social scientific research, questions of ethics and research design, a clear, easy to follow ′how-to′ guide to using Python, with a wide array of applications such as data visualisation, social media data research, social network analysis, and more. Accompanied by numerous code examples, screenshots, sample data sources, this is the textbook for social scientists looking for a complete introduction to programming with Python and incorporating it into their research design and analysis.
Author : Anol Bhattacherjee
Publisher : CreateSpace
Page : 156 pages
File Size : 35,17 MB
Release : 2012-04-01
Category : Science
ISBN : 9781475146127
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 : Joan E. Sieber
Publisher : SAGE Publications
Page : 177 pages
File Size : 40,76 MB
Release : 1991-02-12
Category : Education
ISBN : 1452252912
Although major funding agencies now require social scientists to share their documented raw data, scientists have been reluctant to comply. The reasons include unwillingness to divulge all of the conditions under which the data were generated, cost in time and money, and the desire by social scientists to carry the research further themselves. Data sharing, however, promises to foster more open, cost-effective and cumulative research, and to improve the quality of methodology, data and inference. Sharing Social Science Data presents the major accomplishments of social scientists who have pioneered in data sharing, highlighting the advantages for social science. It also includes an examination of the reasons for data sharing, the specific sharing practices in various disciplines, the factors affecting the usefulness of shared data (documentation, archiving, and marketing), and individual and institutional concerns about data sharing. A timely examination, this cohesive and well written volume will interest graduate students and researchers in all areas of the social sciences. ". . .the chapters are thoughtful and well written, and they address many of the crucial issues faced by the social sciences in the 1990s. . . .anyone who wants to help shape the future of the social and behavioral sciences can benefit from giving this book at least a quick read." --Contemporary Psychology
Author : OECD
Publisher : OECD Publishing
Page : 138 pages
File Size : 23,99 MB
Release : 2019-11-26
Category :
ISBN : 9264660658
This report examines the opportunities of enhancing access to and sharing of data (EASD) in the context of the growing importance of artificial intelligence and the Internet of Things. It discusses how EASD can maximise the social and economic value of data re-use and how the related risks and challenges can be addressed. It highlights the trade-offs, complementarities and possible unintended consequences of policy action – and inaction. It also provides examples of EASD approaches and policy initiatives in OECD countries and partner economies.
Author : Garret Christensen
Publisher : University of California Press
Page : 266 pages
File Size : 37,37 MB
Release : 2019-07-23
Category : Social Science
ISBN : 0520296958
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 : Steve W. Witt
Publisher : Walter de Gruyter
Page : 138 pages
File Size : 17,4 MB
Release : 2010-06-29
Category : Language Arts & Disciplines
ISBN : 3110232154
This volume focuses on practical and empirical accounts of organizational change in the social sciences and impacts upon the professional skills, collections, and services within social science libraries. Section one focuses upon the question of interdisciplinary within social science libraries and the role of libraries to both react to and facilitate paradigm shifts in research and science. Section two focuses on the rise of data as a resource to be collected and shared within social science libraries. The third section focuses on the role of librarians to facilitate the development of social organizations that develop around new technologies and research communities. Changed role of librarians within social science libraries Describes new developments of social organizations Essential for librarians
Author : Kosuke Imai
Publisher : Princeton University Press
Page : 464 pages
File Size : 18,45 MB
Release : 2021-03-16
Category : Political Science
ISBN : 0691191093
"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 : Ian Foster
Publisher : CRC Press
Page : 493 pages
File Size : 46,81 MB
Release : 2016-08-10
Category : Mathematics
ISBN : 1498751431
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.
