Research Methodology And Data Analysis In Humanities Social Sciences


Research Methodology And Data Analysis In Humanities Social Sciences
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Research Methodology And Data Analysis In Humanities Social Sciences


Research Methodology And Data Analysis In Humanities Social Sciences
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Author : Rajesh Ekka
language : en
Publisher: Lulu.com
Release Date :

Research Methodology And Data Analysis In Humanities Social Sciences written by Rajesh Ekka and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Humanities Data In R


Humanities Data In R
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Author : Taylor Arnold
language : en
Publisher: Springer
Release Date : 2015-09-23

Humanities Data In R written by Taylor Arnold and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-23 with Computers categories.


​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. ​



Humanities Data Analysis


Humanities Data Analysis
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Author : Folgert Karsdorp
language : en
Publisher: Princeton University Press
Release Date : 2021-01-12

Humanities Data Analysis written by Folgert Karsdorp and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-12 with Computers categories.


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



Tracing The Life Cycle Of Ideas In The Humanities And Social Sciences


Tracing The Life Cycle Of Ideas In The Humanities And Social Sciences
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Author : Arjuna Tuzzi
language : en
Publisher: Springer
Release Date : 2018-10-30

Tracing The Life Cycle Of Ideas In The Humanities And Social Sciences written by Arjuna Tuzzi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-30 with Social Science categories.


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.



Humanities Data Analysis


Humanities Data Analysis
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Author : Folgert Karsdorp
language : en
Publisher: Princeton University Press
Release Date : 2021-01-12

Humanities Data Analysis written by Folgert Karsdorp and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-12 with Computers categories.


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



Text Mining For Qualitative Data Analysis In The Social Sciences


Text Mining For Qualitative Data Analysis In The Social Sciences
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Author : Gregor Wiedemann
language : en
Publisher: Springer
Release Date : 2016-08-23

Text Mining For Qualitative Data Analysis In The Social Sciences written by Gregor Wiedemann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-23 with Social Science categories.


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.



Scientometrics For The Humanities And Social Sciences


Scientometrics For The Humanities And Social Sciences
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Author : R. Sooryamoorthy
language : en
Publisher:
Release Date : 2020-11-09

Scientometrics For The Humanities And Social Sciences written by R. Sooryamoorthy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-09 with Psychology categories.


Scientometrics for the Humanities and Social Sciences is the first ever book on scientometrics that deals with the historical development of both quantitative and qualitative data analysis in scientometric studies. It focuses on its applicability in new and emerging areas of inquiry. This important book presents the inherent potential for data mining and analysis of qualitative data in scientometrics. The author provides select cases of scientometric studies in the humanities and social sciences, explaining their research objectives, sources of data and methodologies. It illustrates how data can be gathered not only from prominent online databases and repositories, but also from journals that are not stored in these databases. With the support of specific examples, the book shows how data on demographic variables can be collected to supplement scientometric data. The book deals with a research methodology which has an increasing applicability not only to the study of science, but also to the study of the disciplines in the humanities and social sciences.



The Evaluation Of Research In Social Sciences And Humanities


The Evaluation Of Research In Social Sciences And Humanities
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Author : Andrea Bonaccorsi
language : en
Publisher: Springer
Release Date : 2018-01-04

The Evaluation Of Research In Social Sciences And Humanities written by Andrea Bonaccorsi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-04 with Social Science categories.


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.



The A Z Of Social Research


The A Z Of Social Research
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Author : Robert Lee Miller
language : en
Publisher: SAGE
Release Date : 2003-03-21

The A Z Of Social Research written by Robert Lee Miller and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-03-21 with Social Science categories.


`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.



Basic Concepts In The Methodology Of The Social Sciences


Basic Concepts In The Methodology Of The Social Sciences
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Author : Johann Mouton
language : en
Publisher: HSRC Press
Release Date : 1988

Basic Concepts In The Methodology Of The Social Sciences written by Johann Mouton and has been published by HSRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Social Science categories.


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.