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Author : K. M. Heim
Publisher :
ISBN 13 :
Total Pages : 188 pages
Book Rating : 4.:/5 (47 download)
Download or read book Data libraries for the social sciences written by K. M. Heim and published by . This book was released on 1982 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Elena Llaudet
Publisher : Princeton University Press
ISBN 13 : 0691199434
Total Pages : 256 pages
Book Rating : 4.6/5 (911 download)
Download or read book Data Analysis for Social Science written by Elena Llaudet and published by Princeton University Press. This book was released on 2022-11-29 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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 : Kathleen de la Peña McCook
Publisher :
ISBN 13 :
Total Pages : 189 pages
Book Rating : 4.:/5 (16 download)
Download or read book Data libraries for the social sciences written by Kathleen de la Peña McCook and published by . This book was released on 1982 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Perry, S. Marshall
Publisher : IGI Global
ISBN 13 : 1522536175
Total Pages : 349 pages
Book Rating : 4.5/5 (225 download)
Download or read book Maximizing Social Science Research Through Publicly Accessible Data Sets written by Perry, S. Marshall and published by IGI Global. This book was released on 2017-10-31 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Making research in all fields of study readily available is imperative in order to circulate new information and upcoming trends. This is possible through the efficient utilization of collections of information. Maximizing Social Science Research Through Publicly Accessible Data Sets is an essential reference source for the latest academic perspectives on a wide range of methodologies and large data sets with the purpose of enhancing research in the areas of human society and social relationships. Featuring coverage on a broad range of topics such as student achievement, teacher efficacy, and instructional leadership, this book is ideally designed for academicians, researchers, and practitioners seeking material on the availability and distribution methods of research content.
Author : Miltiadis D. Lytras
Publisher : MDPI
ISBN 13 : 3039282204
Total Pages : 416 pages
Book Rating : 4.0/5 (392 download)
Download or read book Big Data Research for Social Sciences and Social Impact written by Miltiadis D. Lytras and published by MDPI. This book was released on 2020-03-19 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new era of innovation is enabled by the integration of social sciences and information systems research. In this context, the adoption of Big Data and analytics technology brings new insight to the social sciences. It also delivers new, flexible responses to crucial social problems and challenges. We are proud to deliver this edited volume on the social impact of big data research. It is one of the first initiatives worldwide analyzing of the impact of this kind of research on individuals and social issues. The organization of the relevant debate is arranged around three pillars: Section A: Big Data Research for Social Impact: • Big Data and Their Social Impact; • (Smart) Citizens from Data Providers to Decision-Makers; • Towards Sustainable Development of Online Communities; • Sentiment from Online Social Networks; • Big Data for Innovation. Section B. Techniques and Methods for Big Data driven research for Social Sciences and Social Impact: • Opinion Mining on Social Media; • Sentiment Analysis of User Preferences; • Sustainable Urban Communities; • Gender Based Check-In Behavior by Using Social Media Big Data; • Web Data-Mining Techniques; • Semantic Network Analysis of Legacy News Media Perception. Section C. Big Data Research Strategies: • Skill Needs for Early Career Researchers—A Text Mining Approach; • Pattern Recognition through Bibliometric Analysis; • Assessing an Organization’s Readiness to Adopt Big Data; • Machine Learning for Predicting Performance; • Analyzing Online Reviews Using Text Mining; • Context–Problem Network and Quantitative Method of Patent Analysis. Complementary social and technological factors including: • Big Social Networks on Sustainable Economic Development; Business Intelligence.
Author : Ian Foster
Publisher : CRC Press
ISBN 13 : 1498751431
Total Pages : 493 pages
Book Rating : 4.4/5 (987 download)
Download or read book Big Data and Social Science written by Ian Foster and published by CRC Press. This book was released on 2016-08-10 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Steve W. Witt
Publisher : Walter de Gruyter
ISBN 13 : 3110232154
Total Pages : 138 pages
Book Rating : 4.1/5 (12 download)
Download or read book Social Science Libraries written by Steve W. Witt and published by Walter de Gruyter. This book was released on 2010-06-29 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Ian Foster
Publisher : CRC Press
ISBN 13 : 100020863X
Total Pages : 320 pages
Book Rating : 4.0/5 (2 download)
Download or read book Big Data and Social Science written by Ian Foster and published by CRC Press. This book was released on 2020-11-17 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Spencer Acadia
Publisher : Routledge
ISBN 13 : 0429997906
Total Pages : 345 pages
Book Rating : 4.4/5 (299 download)
Download or read book Library and Information Studies for Arctic Social Sciences and Humanities written by Spencer Acadia and published by Routledge. This book was released on 2020-11-26 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Library and Information Studies for Arctic Social Sciences and Humanities serves as a key interdisciplinary title that links the social sciences and humanities with current issues, trends, and projects in library, archival, and information sciences within shared Arctic frameworks and geographies. Including contributions from professionals and academics working across and on the Arctic, the book presents recent research, theoretical inquiry, and applied professional endeavours at academic and public libraries, as well as archives, museums, government institutions, and other organisations. Focusing on efforts that further Arctic knowledge and research, papers present local, regional, and institutional case studies to conceptually and empirically describe real-life research in which the authors are engaged. Topics covered include the complexities of developing and managing multilingual resources; working in geographically isolated areas; curating combinations of local, regional, national, and international content collections; and understanding historical and contemporary colonial-industrial influences in indigenous knowledge. Library and Information Studies for Arctic Social Sciences and Humanities will be essential reading for academics, researchers, and students working the fields of library, archival, and information or data science, as well as those working in the humanities and social sciences more generally. It should also be of great interest to librarians, archivists, curators, and information or data professionals around the globe.
Author : Gregor Wiedemann
Publisher : Springer
ISBN 13 : 3658153091
Total Pages : 307 pages
Book Rating : 4.6/5 (581 download)
Download or read book Text Mining for Qualitative Data Analysis in the Social Sciences written by Gregor Wiedemann and published by Springer. This book was released on 2016-08-23 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gregor Wiedemann evaluates text mining applications for social science studies with respect to conceptual integration of consciously selected methods, systematic optimization of algorithms and workflows, and methodological reflections relating to empirical research. In an exemplary study, he introduces workflows to analyze a corpus of around 600,000 newspaper articles on the subject of “democratic demarcation” in Germany. He provides a valuable resource for innovative measures to social scientists and computer scientists in the field of applied natural language processing.
Author : Paul Attewell
Publisher : Univ of California Press
ISBN 13 : 0520280989
Total Pages : 264 pages
Book Rating : 4.5/5 (22 download)
Download or read book Data Mining for the Social Sciences written by Paul Attewell and published by Univ of California Press. This book was released on 2015-05 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The amount of information collected on human behavior every day is staggering, and exponentially greater than at any time in the past. At the same time, we are inundated by stories of powerful algorithms capable of churning through this sea of data and uncovering patterns. These techniques go by many names - data mining, predictive analytics, machine learning - and they are being used by governments as they spy on citizens and by huge corporations are they fine-tune their advertising strategies. And yet social scientists continue mainly to employ a set of analytical tools developed in an earlier era when data was sparse and difficult to come by. In this timely book, Paul Attewell and David Monaghan provide a simple and accessible introduction to Data Mining geared towards social scientists. They discuss how the data mining approach differs substantially, and in some ways radically, from that of conventional statistical modeling familiar to most social scientists. They demystify data mining, describing the diverse set of techniques that the term covers and discussing the strengths and weaknesses of the various approaches. Finally they give practical demonstrations of how to carry out analyses using data mining tools in a number of statistical software packages. It is the hope of the authors that this book will empower social scientists to consider incorporating data mining methodologies in their analytical toolkits"--Provided by publisher.
Author : David Nasatir
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (52 download)
Download or read book Social Science Data Libraries written by David Nasatir and published by . This book was released on 1967* with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Temple University. Social Science Data Library
Publisher :
ISBN 13 :
Total Pages : 146 pages
Book Rating : 4.:/5 (334 download)
Download or read book Catalog of Holdings, Social Science Data Library, Temple University written by Temple University. Social Science Data Library and published by . This book was released on 1985 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Nils B. Weidmann
Publisher : Cambridge University Press
ISBN 13 : 1108845673
Total Pages : 243 pages
Book Rating : 4.1/5 (88 download)
Download or read book Data Management for Social Scientists written by Nils B. Weidmann and published by Cambridge University Press. This book was released on 2023-03-09 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Equips social scientists with the tools and techniques to conduct quantitative research in the age of big data.
Author : University of North Carolina at Chapel Hill. Social Science Data Library
Publisher :
ISBN 13 :
Total Pages : 50 pages
Book Rating : 4.:/5 (23 download)
Download or read book Data for Dissemination written by University of North Carolina at Chapel Hill. Social Science Data Library and published by . This book was released on 1975 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kieran Healy
Publisher : Princeton University Press
ISBN 13 : 0691181624
Total Pages : 292 pages
Book Rating : 4.6/5 (911 download)
Download or read book Data Visualization written by Kieran Healy and published by Princeton University Press. This book was released on 2018-12-18 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings. Provides hands-on instruction using R and ggplot2 Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions
Author : Robin Rice
Publisher : Facet Publishing
ISBN 13 : 1783300477
Total Pages : 193 pages
Book Rating : 4.7/5 (833 download)
Download or read book The Data Librarian’s Handbook written by Robin Rice and published by Facet Publishing. This book was released on 2016-12-20 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: An insider’s guide to data librarianship packed full of practical examples and advice for any library and information professional learning to deal with data. Interest in data has been growing in recent years. Support for this peculiar class of digital information – its use, preservation and curation, and how to support researchers’ production and consumption of it in ever greater volumes to create new knowledge, is needed more than ever. Many librarians and information professionals are finding their working life is pulling them toward data support or research data management but lack the skills required. The Data Librarian’s Handbook, written by two data librarians with over 30 years’ combined experience, unpicks the everyday role of the data librarian and offers practical guidance on how to collect, curate and crunch data for economic, social and scientific purposes. With contemporary case studies from a range of institutions and disciplines, tips for best practice, study aids and links to key resources, this book is a must-read for all new entrants to the field, library and information students and working professionals. Key topics covered include: • the evolution of data libraries and data archives • handling data compared to other forms of information • managing and curating data to ensure effective use and longevity • how to incorporate data literacy into mainstream library instruction and information literacy training • how to develop an effective institutional research data management (RDM) policy and infrastructure • how to support and review a data management plan (DMP) for a project, a key requirement for most research funders • approaches for developing, managing and promoting data repositories • handling and sharing confidential or sensitive data • supporting open scholarship and open science, ensuring data are discoverable, accessible, intelligible and assessable. This title is for the practising data librarian, possibly new in their post with little experience of providing data support. It is also for managers and policy-makers, public service librarians, research data management coordinators and data support staff. It will also appeal to students and lecturers in iSchools and other library and information degree programmes where academic research support is taught.
