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Author: Claire Lemercier Publisher: ISBN: 9780813942698 Category : History Languages : en Pages : 188
Book Description
This timely and lucid guide is intended for students and scholars working on all historical periods and topics in the humanities and social sciences--especially for those who do not think of themselves as experts in quantification, "big data," or "digital humanities." The authors reveal quantification to be a powerful and versatile tool, applicable to a myriad of materials from the past. Their book, accessible to complete beginners, offers detailed advice and practical tips on how to build a dataset from historical sources and how to categorize it according to specific research questions. Drawing on examples from works in social, political, economic, and cultural history, the book guides readers through a wide range of methods, including sampling, cross-tabulations, statistical tests, regression, factor analysis, network analysis, sequence analysis, event history analysis, geographical information systems, text analysis, and visualization. The requirements, advantages, and pitfalls of these techniques are presented in layperson's terms, avoiding mathematical terminology. Conceived primarily for historians, the book will prove invaluable to other humanists, as well as to social scientists looking for a nontechnical introduction to quantitative methods. Covering the most recent techniques, in addition to others not often enough discussed, the book will also have much to offer to the most seasoned practitioners of quantification.
Author: Claire Lemercier Publisher: ISBN: 9780813942698 Category : History Languages : en Pages : 188
Book Description
This timely and lucid guide is intended for students and scholars working on all historical periods and topics in the humanities and social sciences--especially for those who do not think of themselves as experts in quantification, "big data," or "digital humanities." The authors reveal quantification to be a powerful and versatile tool, applicable to a myriad of materials from the past. Their book, accessible to complete beginners, offers detailed advice and practical tips on how to build a dataset from historical sources and how to categorize it according to specific research questions. Drawing on examples from works in social, political, economic, and cultural history, the book guides readers through a wide range of methods, including sampling, cross-tabulations, statistical tests, regression, factor analysis, network analysis, sequence analysis, event history analysis, geographical information systems, text analysis, and visualization. The requirements, advantages, and pitfalls of these techniques are presented in layperson's terms, avoiding mathematical terminology. Conceived primarily for historians, the book will prove invaluable to other humanists, as well as to social scientists looking for a nontechnical introduction to quantitative methods. Covering the most recent techniques, in addition to others not often enough discussed, the book will also have much to offer to the most seasoned practitioners of quantification.
Author: Craig M. Klugman Publisher: Oxford University Press ISBN: 0190918535 Category : Medical Languages : en Pages : 361
Book Description
Research Methods in Health Humanities surveys the diverse and unique research methods used by scholars in the growing, transdisciplinary field of health humanities. Appropriate for advanced undergraduates, but rich enough to engage more seasoned students and scholars, this volume is an essential teaching and reference tool for health humanities teachers and scholars. Health humanities is a field committed to social justice and to applying expertise to real world concerns, creating research that translates to participants and communities in meaningful and useful ways. The chapters in this field-defining volume reflect these values by examining the human aspects of health and health care that are critical, reflective, textual, contextual, qualitative, and quantitative. Divided into four sections, the volume demonstrates how to conduct research on texts, contexts, people, and programs. Readers will find research methods from traditional disciplines adapted to health humanities work, such as close reading of diverse texts, archival research, ethnography, interviews, and surveys. The book also features transdisciplinary methods unique to the health humanities, such as health and social justice studies, digital health humanities, and community dialogues. Each chapter provides learning objectives, step-by-step instructions, resources, and exercises, with illustrations of the method provided by the authors' own research. An invaluable tool in learning, curricular development, and research design, this volume provides a grounding in the traditions of the humanities, fine arts, and social sciences for students considering health care careers, but also provides useful tools of inquiry for everyone, as we are all future patients and future caregivers of a loved one.
Author: Kristen Schuster Publisher: Routledge ISBN: 0429670257 Category : Education Languages : en Pages : 678
Book Description
This book draws on both traditional and emerging fields of study to consider consider what a grounded definition of quantitative and qualitative research in the Digital Humanities (DH) might mean; which areas DH can fruitfully draw on in order to foster and develop that understanding; where we can see those methods applied; and what the future directions of research methods in Digital Humanities might look like. Schuster and Dunn map a wide-ranging DH research methodology by drawing on both ‘traditional’ fields of DH study such as text, historical sources, museums and manuscripts, and innovative areas in research production, such as knowledge and technology, digital culture and society and history of network technologies. Featuring global contributions from scholars in the United Kingdom, the United States, Europe and Australia, this book draws together a range of disciplinary perspectives to explore the exciting developments offered by this fast-evolving field. Routledge International Handbook of Research Methods in Digital Humanities is essential reading for anyone who teaches, researches or studies Digital Humanities or related subjects.
Author: Willie van Peer Publisher: John Benjamins Publishing ISBN: 9027274673 Category : Literary Criticism Languages : en Pages : 352
Book Description
Here is a much needed introductory textbook on empirical research methods for the Humanities. Especially aimed at students and scholars of Literature, Applied Linguistics, and Film and Media, it stimulates readers to reflect on the problems and possibilities of testing the empirical assumptions and offers hands-on learning opportunities to develop empirical studies. It explains a wide range of methods, from interviews to observation research, and guides readers through the choices researchers have to make. It discusses the essence of experiments, illustrates how studies are designed, how to develop questionnaires, and helps readers to collect and analyze data by themselves. The book presents qualitative approaches to research but focuses mostly on quantitative methods, detailing the workings of basic statistics. At the end, the book also shows how to give papers at international conferences, how to draft a report, and what is involved in the preparation of a publishable article.
Author: Folgert Karsdorp Publisher: Princeton University Press ISBN: 0691172366 Category : Computers Languages : en Pages : 352
Book Description
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: lewis levenberg Publisher: Springer ISBN: 3319967134 Category : Social Science Languages : en Pages : 330
Book Description
This volume introduces the reader to the wide range of methods that digital humanities employ, and offers a practical guide to the study, interpretation, and presentation of cultural material and practices. In this instance, the editors consider digital humanities to include both the use of computing to understand cultural material in new ways, and the application of theories and methods from the humanities to interpret new technologies. Each chapter provides a step-by-step guide to cutting-edge methodologies so that students can make informed decisions about the methods they use, consider ethical practices, follow practical procedures, and present their work effectively. Readers will develop practical and reflexive understandings of the software and digital devices that they study and use for research, and the book will help new researchers collaborate and contribute to their scholarly communities, and to public discourse. As contemporary humanities work becomes increasingly interdisciplinary, and increasingly permeated by and with digital technologies, this volume helps new researchers navigate an evolving academic environment. Humanities and social sciences students will find this textbook an invaluable resource for assessing and creating digital projects.
Author: Marvin Titus Publisher: Springer Nature ISBN: 303060831X Category : Social Science Languages : en Pages : 243
Book Description
This textbook introduces graduate students in education and policy research to data and statistical methods in state-level higher education policy analysis. It also serves as a methodological guide to students, practitioners, and researchers who want a clear approach to conducting higher education policy analysis that involves the use of institutional- and state-level secondary data and quantitative methods ranging from descriptive to advanced statistical techniques. This book is unique in that it introduces readers to various types of data sources and quantitative methods utilized in policy research and in that it demonstrates how results of statistical analyses should be presented to higher education policy makers. It helps to bridge the gap between researchers, policy makers, and practitioners both within education policy and between other fields. Coverage includes identifying pertinent data sources, the creation and management of customized data sets, teaching beginning and advanced statistical methods and analyses, and the presentation of analyses for different audiences (including higher education policy makers).
Author: Gabriele Griffin Publisher: Edinburgh University Press ISBN: 0748683453 Category : Literary Criticism Languages : en Pages : 265
Book Description
With a revised Introduction and with all chapters revised to bring them completely up-to date, this new edition remains the leading guide to research methods for final-year undergraduates, postgraduates taking Masters degrees and PhDs students of 19th- an
Author: Matthew L. Jockers Publisher: Springer Nature ISBN: 3030396436 Category : Computers Languages : en Pages : 283
Book Description
Now in its second edition, Text Analysis with R provides a practical introduction to computational text analysis using the open source programming language R. R is an extremely popular programming language, used throughout the sciences; due to its accessibility, R is now used increasingly in other research areas. In this volume, readers immediately begin working with text, and each chapter examines a new technique or process, allowing readers to obtain a broad exposure to core R procedures and a fundamental understanding of the possibilities of computational text analysis at both the micro and the macro scale. Each chapter builds on its predecessor as readers move from small scale “microanalysis” of single texts to large scale “macroanalysis” of text corpora, and each concludes with a set of practice exercises that reinforce and expand upon the chapter lessons. The book’s focus is on making the technical palatable and making the technical useful and immediately gratifying. Text Analysis with R is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological toolkit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that readers simply cannot gather using traditional qualitative methods of close reading and human synthesis. This new edition features two new chapters: one that introduces dplyr and tidyr in the context of parsing and analyzing dramatic texts to extract speaker and receiver data, and one on sentiment analysis using the syuzhet package. It is also filled with updated material in every chapter to integrate new developments in the field, current practices in R style, and the use of more efficient algorithms.
Author: Claire Lemercier
Author: Claire Lemercier
Author: Craig M. Klugman
Author: Kristen Schuster
Author: Willie van Peer
Author: Folgert Karsdorp
Author: lewis levenberg
Author: Marvin Titus
Author: Gabriele Griffin
Author: Matthew L. Jockers
Author: Taylor Arnold