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Author : Rajesh Ekka
Publisher : Lulu.com
Page : 102 pages
File Size : 43,5 Mb
Release : 2024-06-07
Category : Electronic
ISBN : 9781312760127
Author : Folgert Karsdorp,Mike Kestemont,Allen Riddell
Publisher : Princeton University Press
Page : 352 pages
File Size : 54,5 Mb
Release : 2021-01-12
Category : Computers
ISBN : 9780691172361
A practical guide to data-intensive humanities research using the Python programming language The use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patterns in a vast range of source materials. Despite this growth, there are few resources addressed to students and scholars who wish to take advantage of these powerful tools. Humanities Data Analysis offers the first intermediate-level guide to quantitative data analysis for humanities students and scholars using the Python programming language. This practical textbook, which assumes a basic knowledge of Python, teaches readers the necessary skills for conducting humanities research in the rapidly developing digital environment. The book begins with an overview of the place of data science in the humanities, and proceeds to cover data carpentry: the essential techniques for gathering, cleaning, representing, and transforming textual and tabular data. Then, drawing from real-world, publicly available data sets that cover a variety of scholarly domains, the book delves into detailed case studies. Focusing on textual data analysis, the authors explore such diverse topics as network analysis, genre theory, onomastics, literacy, author attribution, mapping, stylometry, topic modeling, and time series analysis. Exercises and resources for further reading are provided at the end of each chapter. An ideal resource for humanities students and scholars aiming to take their Python skills to the next level, Humanities Data Analysis illustrates the benefits that quantitative methods can bring to complex research questions. Appropriate for advanced undergraduates, graduate students, and scholars with a basic knowledge of Python Applicable to many humanities disciplines, including history, literature, and sociology Offers real-world case studies using publicly available data sets Provides exercises at the end of each chapter for students to test acquired skills Emphasizes visual storytelling via data visualizations
Author : Anol Bhattacherjee
Publisher : CreateSpace
Page : 156 pages
File Size : 45,5 Mb
Release : 2012-04-01
Category : Science
ISBN : 1475146124
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 : Taylor Arnold,Lauren Tilton
Publisher : Springer
Page : 211 pages
File Size : 44,6 Mb
Release : 2015-09-23
Category : Computers
ISBN : 9783319207025
This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social sciences. Humanities Data with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis (continuous and categorical data, multivariate analysis, and advanced graphics with emphasis on aesthetics and facility). Following this, networks, geospatial data, image data, natural language processing and text analysis each have a dedicated chapter. Each chapter is grounded in examples to move readers beyond the intimidation of adding new tools to their research. Everything is hands-on: networks are explained using U.S. Supreme Court opinions, and low-level NLP methods are applied to short stories by Sir Arthur Conan Doyle. After working through these examples with the provided data, code and book website, readers are prepared to apply new methods to their own work. The open source R programming language, with its myriad packages and popularity within the sciences and social sciences, is particularly well-suited to working with humanities data. R packages are also highlighted in an appendix. This book uses an expanded conception of the forms data may take and the information it represents. The methodology will have wide application in classrooms and self-study for the humanities, but also for use in linguistics, anthropology, and political science. Outside the classroom, this intersection of humanities and computing is particularly relevant for research and new modes of dissemination across archives, museums and libraries.
Author : Arjuna Tuzzi
Publisher : Springer
Page : 217 pages
File Size : 46,9 Mb
Release : 2018-10-30
Category : Social Science
ISBN : 9783319970646
This book demonstrates how quantitative methods for text analysis can successfully combine with qualitative methods in the study of different disciplines of the Humanities and Social Sciences (HSS). The book focuses on learning about the evolution of ideas of HSS disciplines through a distant reading of the contents conveyed by scientific literature, in order to retrieve the most relevant topics being debated over time. Quantitative methods, statistical techniques and software packages are used to identify and study the main subject matters of a discipline from raw textual data, both in the past and today. The book also deals with the concept of quality of life of words and aims to foster a discussion about the life cycle of scientific ideas. Textual data retrieved from large corpora pose interesting challenges for any data analysis method and today represent a growing area of research in many fields. New problems emerge from the growing availability of large databases and new methods are needed to retrieve significant information from those large information sources. This book can be used to explain how quantitative methods can be part of the research instrumentation and the "toolbox" of scholars of Humanities and Social Sciences. The book contains numerous examples and a description of the main methods in use, with references to literature and available software. Most of the chapters of the book have been written in a non-technical language for HSS researchers without mathematical, computer or statistical backgrounds.
Author : Folgert Karsdorp,Mike Kestemont,Allen Riddell
Publisher : Princeton University Press
Page : 352 pages
File Size : 50,9 Mb
Release : 2021-01-12
Category : Computers
ISBN : 9780691172361
A practical guide to data-intensive humanities research using the Python programming language The use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patterns in a vast range of source materials. Despite this growth, there are few resources addressed to students and scholars who wish to take advantage of these powerful tools. Humanities Data Analysis offers the first intermediate-level guide to quantitative data analysis for humanities students and scholars using the Python programming language. This practical textbook, which assumes a basic knowledge of Python, teaches readers the necessary skills for conducting humanities research in the rapidly developing digital environment. The book begins with an overview of the place of data science in the humanities, and proceeds to cover data carpentry: the essential techniques for gathering, cleaning, representing, and transforming textual and tabular data. Then, drawing from real-world, publicly available data sets that cover a variety of scholarly domains, the book delves into detailed case studies. Focusing on textual data analysis, the authors explore such diverse topics as network analysis, genre theory, onomastics, literacy, author attribution, mapping, stylometry, topic modeling, and time series analysis. Exercises and resources for further reading are provided at the end of each chapter. An ideal resource for humanities students and scholars aiming to take their Python skills to the next level, Humanities Data Analysis illustrates the benefits that quantitative methods can bring to complex research questions. Appropriate for advanced undergraduates, graduate students, and scholars with a basic knowledge of Python Applicable to many humanities disciplines, including history, literature, and sociology Offers real-world case studies using publicly available data sets Provides exercises at the end of each chapter for students to test acquired skills Emphasizes visual storytelling via data visualizations
Author : National Research Council,Division of Behavioral and Social Sciences and Education,Commission on Behavioral and Social Sciences and Education,Committee on Basic Research in the Behavioral and Social Sciences
Publisher : National Academies Press
Page : 301 pages
File Size : 49,8 Mb
Release : 1988-02-01
Category : Science
ISBN : 9780309037495
This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, communications, demography, linguistics, and management and decision science. It includes recommendations concerning new resources, facilities, and programs that may be needed over the next several years to ensure rapid progress and provide a high level of returns to basic research.
Author : Bridget Somekh,Cathy Lewin
Publisher : SAGE
Page : 388 pages
File Size : 47,9 Mb
Release : 2005
Category : Reference
ISBN : 0761944028
In this book the contributors introduce all the key qualitative and quantitative research methodologies and methods and draw readers into a community of researchers engaged in reflection on the research process
Author : Robert Lee Miller,John D Brewer
Publisher : SAGE
Page : 363 pages
File Size : 52,9 Mb
Release : 2003-03-21
Category : Social Science
ISBN : 9781847871480
`A detailed and valuable addition to the literature that will be a very useful resource for lecturers, as well as having a wide appeal among students′ - Tim May, University of Salford Have you ever wondered what a concise, comprehensive book providing critical guidance to the whole expanse of social science research methods and issues might look like? The A-Z is a collection of 94 entries ranging from qualitative research techniques to statistical testing and the practicalities of using the Internet as a research tool. Alphabetically arranged in accessible, reader-friendly formats, the shortest entries are 800 words long and the longest are 3000. Most entries are approximately 1500 words in length and are supported by suggestions for further reading. The book: - Answers the demand for a practical, fast and concise introduction to the key concepts and methods in social research - Supplies students with impeccable information that can be used in essays, exams and research projects - Demystifies a field that students often find daunting This is a refreshing book on social research methods, which understands the pressures that modern students face in their work-load and seeks to supply an authoritative study guide to the field. It should fulfil a long-standing need in undergraduate research methods courses for an unpatronising, utterly reliable aid to making sense of research methods.
Author : Ted Palys,Chris Atchison
Publisher : SAGE Publications
Page : 558 pages
File Size : 52,7 Mb
Release : 2021-02-05
Category : Social Science
ISBN : 9781544357683
Research Methods in the Social and Health Sciences: Research Decisions, by Ted Palys and Chris Atchison, gives students a thorough, thoughtful, and highly readable introduction to the entire research process from start to finish. From its underlying premise that your research questions and objectives, rather than any specific method, should guide your research, this book discusses each step of the research process, from limiting the scope of a literature review to navigating ethical considerations to deciding which methods are best suited for finding answers to specific research questions to how to analyze data and present findings. Readers are encouraged to think deeply about each step of the research process. The book promotes this deliberation by discussing the strengths and limitations of different methods and. Throughout the process, the authors provide many examples from their own and student research, sharing insights for research decisions arising from that experience. Readers will develop the skills to create solid research questions, perform literature reviews, identify appropriate data sources and methods, conduct research, analyze and interpret data and translate the resulting knowledge generated from the research process to a wider audience– all core parts of the research process –by developing their knowledge and creating confidence in their own decision-making skills. After explaining the unique and often complementary strengths of qualitative and quantitative methods, students focus on what methods are best suited for finding answers to the research questions that interest them. Major types of research including experiments, case studies, surveys, quasi-experiments, ethnographies, focus groups, participatory action research, and archival studies all receive significant coverage. The text illustrates how these methods are enhanced by integrating them with 21st century technologies and combining them in mixed methods projects. Chapters on constructing a research proposal and disseminating research bookend the process with concrete steps in between to support students designing their own original research projects. Study questions at the end of each chapter encourage students to think critically about the research process and how the choices a researcher makes will broaden or constrain what they can find. By the end of the text, social and health science students will feel confident in undertaking ethical and thoughtful research.
Author : Gregor Wiedemann
Publisher : Springer
Page : 294 pages
File Size : 43,5 Mb
Release : 2016-08-23
Category : Social Science
ISBN : 9783658153090
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 : Andrea Bonaccorsi
Publisher : Springer
Page : 416 pages
File Size : 50,8 Mb
Release : 2018-01-04
Category : Social Science
ISBN : 9783319685540
This book examines very important issues in research evaluation in the Social Sciences and Humanities. It is based on recent experiences carried out in Italy (2011-2015) in the fields of research assessment, peer review, journal classification, and construction of indicators, and presents a systematic review of theoretical issues influencing the evaluation of Social Sciences and Humanities. Several chapters analyse original data made available through research assessment exercises. Other chapters are the result of dedicated and independent research carried out in 2014-2015 aimed at addressing some of the debated and open issues, for example in the evaluation of books, the use of Library Catalog Analysis or Google Scholar, the definition of research quality criteria on internationalization, as well as opening the way to innovative indicators. The book is therefore a timely and important contribution to the international debate.
Author : Johann Mouton,H. C. Marais
Publisher : HSRC Press
Page : 300 pages
File Size : 55,7 Mb
Release : 1988
Category : Social Science
ISBN : 0796906483
This book consists of three major sections. In the first, which includes chapters 1 to 7, the basic concepts of the methodology of the social social sciences are discussed. In the second, chapters 8 and 9, the most important concepts of part one are integrated in discussions on the writing of research proposals and research reports. The third section (appendices) consists of three "case studies" in which the most important methodological principles which were discussed in the preceding sections are illustrated.
Author : N. Carlo Lauro,Enrica Amaturo,Maria Gabriella Grassia,Biagio Aragona,Marina Marino
Publisher : Springer
Page : 300 pages
File Size : 40,9 Mb
Release : 2017-11-17
Category : Social Science
ISBN : 9783319554778
This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources. This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.
Author : Elena Llaudet,Kosuke Imai
Publisher : Princeton University Press
Page : 256 pages
File Size : 49,8 Mb
Release : 2022-11-29
Category : Computers
ISBN : 9780691199436
"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"--