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| nvivo text mining: Qualitative Data Analysis with NVivo Patricia Bazeley, 2007-04-12 `In plain language but with very thorough detail, this book guides the researcher who really wants to use the NVivo software (and use it now) into their project. The way is lit with real-project examples, adorned with tricks and tips, but it’s a clear path to a project' - Lyn Richards, Founder and Non-Executive Director, QSR International Doing Qualitative Data Analysis with NVivo is essential reading for anyone thinking of using their computer to help analyze qualitative data. With 15 years experience in computer-assisted analysis of qualitative and mixed-mode data, Patricia Bazeley is one of the leaders in the use and teaching of NVivo software. Through this very practical book, readers are guided on how best to make use of the powerful and flexible tools offered by the latest version of NVivo as they work through each stage of their research projects. Explanations draw on examples from her own and others' projects, and are supported by the methodological literature. Researchers have different requirements and come to their data from different perspectives. This book shows how NVivo software can accommodate and assist analysis across those different perspectives and methodological approaches. It is required reading for both students and experienced researchers alike. |
| nvivo text mining: The Nvivo Qualitative Project Book Patricia Bazeley, Lyn Richards, 2000-10-13 `A great basic book, which can be used by the novice qualitative researcher. The advice is friendly, almost folksy with clear conceptual explanation of how the program works. A very welcome contribution to this field' - Martha Ann Carey, Albert Einstein College of Medicine, New York `Qualitative researchers continue to be criticized because they rely too much on their own interpretations and avoid analytical and theoretical issues. This book provides ways to integrate the thinking about a project and the data you have with practical ways that the software can facilitate the process. I recommend it for both the new user as well as the experienced one' - Marilyn Lichtman, Forum for Qualitative Social Research - follow the link below to read the complete review This book invites readers to learn how to use qualitative data analysis software in the context of doing their research project. The reader follows basic steps for creating and conducting a real project with real data, using the new-generation software package, QSR NVivo. The software tools are introduced only as needed and explained in the framework of what is being asked. The reader is the craftsperson, trialling those tools in the processes of getting started, tentative interpretation, drawing links, shaping data, and seeking and establishing explanations and theories. The NVivo Qualitative Project Book allows the researcher to work through their own project, or work with data provided from a real project. The authors draw on decades of experience of research and training researchers around the world, and take the reader through each step in a style combining informality and authority, with frequent tips and reflections on what is being done. Demonstration software is provided on the enclosed CD-ROM, with data to help create (a researcher's project) a project about researchers and researching, and with multiple stages arranged sequentially in the development of a real project. As a practical tool to help researchers understand qualitative data analysis software using NVivo, and a guide through the sometimes complex processes of doing a research project, this book will be invaluable reading for researchers and students undertaking qualitative research. Pat Bazeley provides training and consulting services in research design and data analysis through her company, Research Support. Lyn Richards is Director of Research Services at Qualitative Solutions and Research, the developers of NUD·IST and NVivo software. NVivo is distributed by Scolari, SAGE Publications Software. |
| nvivo text mining: Text Mining with R Julia Silge, David Robinson, 2017-06-12 Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you’ll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You’ll learn how tidytext and other tidy tools in R can make text analysis easier and more effective. The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You’ll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media. Learn how to apply the tidy text format to NLP Use sentiment analysis to mine the emotional content of text Identify a document’s most important terms with frequency measurements Explore relationships and connections between words with the ggraph and widyr packages Convert back and forth between R’s tidy and non-tidy text formats Use topic modeling to classify document collections into natural groups Examine case studies that compare Twitter archives, dig into NASA metadata, and analyze thousands of Usenet messages |
| nvivo text mining: Text Mining Gabe Ignatow, Rada Mihalcea, 2016-04-20 Online communities generate massive volumes of natural language data and the social sciences continue to learn how to best make use of this new information and the technology available for analyzing it. Text Mining brings together a broad range of contemporary qualitative and quantitative methods to provide strategic and practical guidance on analyzing large text collections. This accessible book, written by a sociologist and a computer scientist, surveys the fast-changing landscape of data sources, programming languages, software packages, and methods of analysis available today. Suitable for novice and experienced researchers alike, the book will help readers use text mining techniques more efficiently and productively. |
| nvivo text mining: Analysing Student Feedback in Higher Education Elena Zaitseva, Beatrice Tucker, Elizabeth Santhanam, 2021-12-30 Analysing Student Feedback in Higher Education provides an in-depth analysis of 'mining' student feedback that goes beyond numerical measures of student satisfaction or engagement. By including authentic student voices for understanding the student experience, this book will inform strategies for quality improvement in higher education globally. With contributions, representing an international community of academics, educational developers, institutional data analysts and student-researchers, this book reflects on the role of computer-aided text analysis in gaining insight of student views. The chapters explore the applications of text-mining in different forms, these include varied institutional contexts, using a range of instruments and pursuing different institutional aims and objectives. Contributors provide insights enabled by computer-aided analysis in distilling the student voice and turning large volumes of data into useful information and knowledge to inform actions. Practical tips and core principles are explored to assist academic institutions when embarking on analysing qualitative student feedback. Written for a wide audience, Analysing Student Feedback in Higher Education provides those making informed decisions about how to approach analyses of large volumes of student narratives, with the benefit of learning from the experiences of those who already started treading this path. It enables academic developers, institutional researchers, academics, and administrators to see how bringing text mining to their institutions can help them in better understanding and using the student voice to improve practice. |
| nvivo text mining: An Introduction to Text Mining Gabe Ignatow, Rada Mihalcea, 2017-09-22 Students in social science courses communicate, socialize, shop, learn, and work online. When they are asked to collect data for course projects they are often drawn to social media platforms and other online sources of textual data. There are many software packages and programming languages available to help students collect data online, and there are many texts designed to help with different forms of online research, from surveys to ethnographic interviews. But there is no textbook available that teaches students how to construct a viable research project based on online sources of textual data such as newspaper archives, site user comment archives, digitized historical documents, or social media user comment archives. Gabe Ignatow and Rada F. Mihalcea's new text An Introduction to Text Mining will be a starting point for undergraduates and first-year graduate students interested in collecting and analyzing textual data from online sources, and will cover the most critical issues that students must take into consideration at all stages of their research projects, including: ethical and philosophical issues; issues related to research design; web scraping and crawling; strategic data selection; data sampling; use of specific text analysis methods; and report writing. |
| nvivo text mining: Text Analysis with R Matthew L. Jockers, Rosamond Thalken, 2020-03-30 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. |
| nvivo text mining: The Cambridge Handbook of English Corpus Linguistics Douglas Biber, Randi Reppen, 2015-06-25 The Cambridge Handbook of English Corpus Linguistics (CHECL) surveys the breadth of corpus-based linguistic research on English, including chapters on collocations, phraseology, grammatical variation, historical change, and the description of registers and dialects. The most innovative aspects of the CHECL are its emphasis on critical discussion, its explicit evaluation of the state of the art in each sub-discipline, and the inclusion of empirical case studies. While each chapter includes a broad survey of previous research, the primary focus is on a detailed description of the most important corpus-based studies in this area, with discussion of what those studies found, and why they are important. Each chapter also includes a critical discussion of the corpus-based methods employed for research in this area, as well as an explicit summary of new findings and discoveries. |
| nvivo text mining: Text as Data Justin Grimmer, Margaret E. Roberts, Brandon M. Stewart, 2022-03-29 A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry |
| nvivo text mining: Qualitative Data Analysis with ATLAS. Ti Susanne Friese, 2014-04-01 Are you struggling to get to grips with qualitative data analysis? Do you need help getting started using ATLAS.ti? Do you find software manuals difficult to relate to? Written by a leading expert on ATLAS.ti, this book will guide you step-by-step through using the software to support your research project. In this updated second edition, you will find clear, practical advice on preparing your data, setting up a new project in ATLAS.ti, developing a coding system, asking questions, finding answers and preparing your results. The new edition features: methodological as well as technical advice numerous practical exercises and examples screenshots showing you each stage of analysis in version 7 of ATLAS.ti increased coverage of transcription new sections on analysing video and multimedia data a companion website with online tutorials and data sets. Susanne Friese teaches qualitative methods at the University of Hanover and at various PhD schools, provides training and consultancy for ATLAS.ti at the intersection between developers and users. |
| nvivo text mining: A Step-by-Step Guide to Qualitative Data Coding Philip Adu, 2019-04-05 A Step-by-Step Guide to Qualitative Data Coding is a comprehensive qualitative data analysis guide. It is designed to help readers to systematically analyze qualitative data in a transparent and consistent manner, thus promoting the credibility of their findings. The book examines the art of coding data, categorizing codes, and synthesizing categories and themes. Using real data for demonstrations, it provides step-by-step instructions and illustrations for analyzing qualitative data. Some of the demonstrations include conducting manual coding using Microsoft Word and how to use qualitative data analysis software such as Dedoose, NVivo and QDA Miner Lite to analyze data. It also contains creative ways of presenting qualitative findings and provides practical examples. After reading this book, readers will be able to: Analyze qualitative data and present their findings Select an appropriate qualitative analysis tool Decide on the right qualitative coding and categorization strategies for their analysis Develop relationships among categories/themes Choose a suitable format for the presentation of the findings It is a great resource for qualitative research instructors and undergraduate and graduate students who want to gain skills in analyzing qualitative data or who plan to conduct a qualitative study. It is also useful for researchers and practitioners in the social and health sciences fields. |
| nvivo text mining: Text Analytics with Python Dipanjan Sarkar, 2016-11-30 Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. What You Will Learn: Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure Builda text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern Who This Book Is For : IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data |
| nvivo text mining: Analyzing Qualitative Data with MAXQDA Udo Kuckartz, Stefan Rädiker, 2020-08-14 This book presents strategies for analyzing qualitative and mixed methods data with MAXQDA software, and provides guidance on implementing a variety of research methods and approaches, e.g. grounded theory, discourse analysis and qualitative content analysis, using the software. In addition, it explains specific topics, such as transcription, building a coding frame, visualization, analysis of videos, concept maps, group comparisons and the creation of literature reviews. The book is intended for masters and PhD students as well as researchers and practitioners dealing with qualitative data in various disciplines, including the educational and social sciences, psychology, public health, business or economics. |
| nvivo text mining: EBOOK: Qualitative Research Design for Software Users Silvana di Gregorio, Judith Davidson, 2009-01-16 Di Gregorio & Davidson provide an essential guide for qualitative researchers who wish to get to grips with the potential of software packages for handling qualitative data, research design and ethical and privacy issues ... The authors open up new ground … by integrating the discussion of qualitative data analysis software into the wider context of methodological practice. The authors' arguments and general approach are illustrated in an accessible and engaging manner through the use of detailed case studies of qualitative research using a range of software packages. A smooth read, crammed full of invaluable advice and 'best practice' guidelines and checklists… Derek Layder, University of Leicester, UK This book is an essential guide for anyone using qualitative data analysis software (QDAS), particularly useful for those who want to go beyond a basic introduction to discover how to get the most out of software and how to identify the methodological issues they need to consider. The book is organized in three parts - the first part addresses the methodological issues that need to be addressed when designing qualitative research using QDAS; the second part uses case studies to demonstrate the issues and the design framework introduced in the first part. These chapters are supported by numerous screenshots illustrating the software under discussion. The last part contains practical appendices to help readers apply the framework introduced to their own research. Di Gregorio and Davidson introduce: The notion of the E-Project or electronic project as a genre A framework for representing the research design of a project in any QDAS package Ethical considerations when working in QDAS A variety of contextual issues including national and organizational differences Eight real research projects of a variety of designs and using different QDAS (ATLAS.ti, MAXqda, NVIVO, and XSight) Separate checklists for ATLAS.ti, MAXqda, NVIVO, and XSight, providing practical help in applying the research design framework presented in the book Uniquely, the book examines issues related to both academic and non-academic uses of QDAS. Qualitative Research Design for Software Users is a useful reference for upper level students, academics and researchers across a range of disciplines. |
| nvivo text mining: Template Analysis for Business and Management Students Nigel King, Joanna M. Brooks, 2016-11-10 In Template Analysis, Nigel King and Joanna Brookes guide you through the origins of template analysis and its place in qualitative research, its basic components, and the main strengths and limitations of this method. Practical case studies and examples from published research then guide you through how to use it in your own research project. Ideal for Business and Management students reading for a Master’s degree, each book in the series may also serve as a reference book for doctoral students and faculty members interested in the method. Part of SAGE’s Mastering Business Research Methods, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis. |
| nvivo text mining: Computer Supported Qualitative Research António Pedro Costa, Luís Paulo Reis, Francislê Neri de Souza, António Moreira, 2017-06-19 This book includes a selection of the articles accepted for presentation and discussion at the second International Symposium on Qualitative Research (ISQR2017), held in Salamanca, Spain, July 12-14, 2017. ISQR2017 is part of the Iberian-American Congress on Qualitative Research (CIAIQ), and featured four main application fields (Education, Health, Social Sciences, and Engineering and Technology) and seven main subjects: Rationale and Paradigms of Qualitative Research; Systematization of approaches with Qualitative Studies; Qualitative and Mixed Methods Research; Data Analysis Types; Innovative Processes of Qualitative Data Analysis; Qualitative Research in Web Contexts; Qualitative Analysis with the Support of Specific Software. This book is a valuable resource for academics, researchers, teachers and students who need information on the above topics, as well as on the use of Computer Assisted Qualitative Data AnalysiS (CAQDAS). |
| nvivo text mining: Analyzing Qualitative Data Graham R Gibbs, 2018-09-03 This book tackles the challenges of how to make sense of qualitative data. It offers students and researchers a hands-on guide to the practicalities of coding, comparing data, and using computer-assisted qualitative data analysis. Lastly, Gibbs shows you how to bring it all together, so you can see the steps of qualitative analysis, understand the central place of coding, ensure analytic quality and write effectively to present your results. |
| nvivo text mining: Qualitative Text Analysis Udo Kuckartz, 2014-01-30 How can you analyse narratives, interviews, field notes, or focus group data? Qualitative text analysis is ideal for these types of data and this textbook provides a hands-on introduction to the method and its theoretical underpinnings. It offers step-by-step instructions for implementing the three principal types of qualitative text analysis: thematic, evaluative, and type-building. Special attention is paid to how to present your results and use qualitative data analysis software packages, which are highly recommended for use in combination with qualitative text analysis since they allow for fast, reliable, and more accurate analysis. The book shows in detail how to use software, from transcribing the verbal data to presenting and visualizing the results. The book is intended for Masters and Doctoral students across the social sciences and for all researchers concerned with the systematic analysis of texts of any kind. |
| nvivo text mining: Project Guide to Coding in Nvivo and Codebook Ashwin Ravikumar, Rodd Myers, Laura Kowler, Jazmín Gonzales Tovar, 2015-05-06 |
| nvivo text mining: The SAGE Handbook of Case-Based Methods David Byrne, Charles C Ragin, 2009-07-01 This handbook provides a clear examination of case-oriented research. It defines case-based social research as a subfield of methodology. |
| nvivo text mining: Text Mining in Practice with R Ted Kwartler, 2017-07-24 A reliable, cost-effective approach to extracting priceless business information from all sources of text Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a practical, hands-on approach to teaching you a reliable, cost-effective approach to mining the vast, untold riches buried within all forms of text using R. Author Ted Kwartler clearly describes all of the tools needed to perform text mining and shows you how to use them to identify practical business applications to get your creative text mining efforts started right away. With the help of numerous real-world examples and case studies from industries ranging from healthcare to entertainment to telecommunications, he demonstrates how to execute an array of text mining processes and functions, including sentiment scoring, topic modelling, predictive modelling, extracting clickbait from headlines, and more. You’ll learn how to: Identify actionable social media posts to improve customer service Use text mining in HR to identify candidate perceptions of an organisation, match job descriptions with resumes, and more Extract priceless information from virtually all digital and print sources, including the news media, social media sites, PDFs, and even JPEG and GIF image files Make text mining an integral component of marketing in order to identify brand evangelists, impact customer propensity modelling, and much more Most companies’ data mining efforts focus almost exclusively on numerical and categorical data, while text remains a largely untapped resource. Especially in a global marketplace where being first to identify and respond to customer needs and expectations imparts an unbeatable competitive advantage, text represents a source of immense potential value. Unfortunately, there is no reliable, cost-effective technology for extracting analytical insights from the huge and ever-growing volume of text available online and other digital sources, as well as from paper documents—until now. |
| nvivo text mining: Essential Guide to Qualitative Methods in Organizational Research Catherine Cassell, Gillian Symon, 2004-05-26 This text covers an array of methods needed for undertaking qualitative data collection & analysis. It includes 30 chapters, each focusing on a specific technique including chapters on traditional methods, analysis techniques, intervention methods & the latest developments in research methods. |
| nvivo text mining: A Practical Guide to Sentiment Analysis Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay, Antonio Feraco, 2017-04-07 Sentiment analysis research has been started long back and recently it is one of the demanding research topics. Research activities on Sentiment Analysis in natural language texts and other media are gaining ground with full swing. But, till date, no concise set of factors has been yet defined that really affects how writers’ sentiment i.e., broadly human sentiment is expressed, perceived, recognized, processed, and interpreted in natural languages. The existing reported solutions or the available systems are still far from perfect or fail to meet the satisfaction level of the end users. The reasons may be that there are dozens of conceptual rules that govern sentiment and even there are possibly unlimited clues that can convey these concepts from realization to practical implementation. Therefore, the main aim of this book is to provide a feasible research platform to our ambitious researchers towards developing the practical solutions that will be indeed beneficial for our society, business and future researches as well. |
| nvivo text mining: Predictive Analytics Dursun Delen, 2020-12-15 Use Predictive Analytics to Uncover Hidden Patterns and Correlations and Improve Decision-Making Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data and leverage these insights to improve many key business decisions. In this thoroughly updated guide, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for both business professionals and students. Delen's holistic approach covers key data mining processes and methods, relevant data management techniques, tools and metrics, advanced text and web mining, big data integration, and much more. Balancing theory and practice, Delen presents intuitive conceptual illustrations, realistic example problems, and real-world case studies—including lessons from failed projects. It's all designed to help you gain a practical understanding you can apply for profit. * Leverage knowledge extracted via data mining to make smarter decisions * Use standardized processes and workflows to make more trustworthy predictions * Predict discrete outcomes (via classification), numeric values (via regression), and changes over time (via time-series forecasting) * Understand predictive algorithms drawn from traditional statistics and advanced machine learning * Discover cutting-edge techniques, and explore advanced applications ranging from sentiment analysis to fraud detection |
| nvivo text mining: The Cambridge Handbook of Group Interaction Analysis Elisabeth Brauner, Margarete Boos, Michaela Kolbe, 2018-08-02 This Handbook provides a compendium of research methods that are essential for studying interaction and communication across the behavioral sciences. Focusing on coding of verbal and nonverbal behavior and interaction, the Handbook is organized into five parts. Part I provides an introduction and historic overview of the field. Part II presents areas in which interaction analysis is used, such as relationship research, group research, and nonverbal research. Part III focuses on development, validation, and concrete application of interaction coding schemes. Part IV presents relevant data analysis methods and statistics. Part V contains systematic descriptions of established and novel coding schemes, which allows quick comparison across instruments. Researchers can apply this methodology to their own interaction data and learn how to evaluate and select coding schemes and conduct interaction analysis. This is an essential reference for all who study communication in teams and groups. |
| nvivo text mining: Hermeneutica Geoffrey Rockwell, Stefan Sinclair, 2022-06-07 An introduction to text analysis using computer-assisted interpretive practices, accompanied by example essays that illustrate the use of these computational tools. The image of the scholar as a solitary thinker dates back at least to Descartes' Discourse on Method. But scholarly practices in the humanities are changing as older forms of communal inquiry are combined with modern research methods enabled by the Internet, accessible computing, data availability, and new media. Hermeneutica introduces text analysis using computer-assisted interpretive practices. It offers theoretical chapters about text analysis, presents a set of analytical tools (called Voyant) that instantiate the theory, and provides example essays that illustrate the use of these tools. Voyant allows users to integrate interpretation into texts by creating hermeneutica—small embeddable “toys” that can be woven into essays published online or into such online writing environments as blogs or wikis. The book's companion website, Hermeneuti.ca, offers the example essays with both text and embedded interactive panels. The panels show results and allow readers to experiment with the toys themselves. The use of these analytical tools results in a hybrid essay: an interpretive work embedded with hermeneutical toys that can be explored for technique. The hermeneutica draw on and develop such common interactive analytics as word clouds and complex data journalism interactives. Embedded in scholarly texts, they create a more engaging argument. Moving between tool and text becomes another thread in a dynamic dialogue. |
| nvivo text mining: The SAGE Handbook of Current Developments in Grounded Theory Antony Bryant, Kathy Charmaz, 2019-04-22 Building on the success of the bestselling The SAGE Handbook of Grounded Theory (2007), this title provides a much-needed and up-to-date overview, integrating some revised and updated chapters with new ones exploring recent developments in grounded theory and research methods in general. The highly-acclaimed editors have once again brought together a team of leading academics from a wide range of disciplines, perspectives and countries. This is a method-defining resource for advanced students and researchers across the social sciences. Part One: The Grounded Theory Method: 50 Years On Part Two: Theories and Theorizing in Grounded Theory Part Three: Grounded Theory in Practice Part Four: Reflections on Using and Teaching Grounded Theory Part Five: GTM and Qualitative Research Practice Part Six: GT Researchers and Methods in Local and Global Worlds |
| nvivo text mining: Research Methods in Education Joseph Check, Russell K. Schutt, 2011-10-27 Research Methods in Education introduces research methods as an integrated set of techniques for investigating questions about the educational world. This lively, innovative text helps students connect technique and substance, appreciate the value of both qualitative and quantitative methodologies, and make ethical research decisions. It weaves actual research stories into the presentation of research topics, and it emphasizes validity, authenticity, and practical significance as overarching research goals. The text is divided into three sections: Foundations of Research (5 chapters), Research Design and Data Collection (7 chapters), and Analyzing and Reporting Data (3 chapters). This tripartite conceptual framework honors traditional quantitative approaches while reflecting the growing popularity of qualitative studies, mixed method designs, and school-based techniques. This approach provides a comprehensive, conceptually unified, and well-written introduction to the exciting but complex field of educational research. |
| nvivo text mining: Using Software in Qualitative Research Christina Silver, Ann Lewins, 2014-05-01 Using Software in Qualitative Research is an essential introduction to the practice and principles of Computer Assisted Qualitative Data Analysis (CAQDAS). The book will help you to choose the most appropriate package for your needs and get the most out of the software once you are using it. This book considers a wide range of tasks and processes in the data management and analysis process, and shows how software can help you at each stage. In the new edition, the authors present three case studies with different forms of data (text, video and mixed data) and show how each step in the analysis process for each project could be supported by software. The new edition is accompanied by an extensive companion website with step-by-step instructions produced by the software developers themselves. Software programmes covered in second edition include the latest versions of: ATLAS.ti DEDOOSE HyperRESEARCH MAXQDA NVivo QDA Miner TRANSANA Ann Lewins and Christina Silver are leading experts in the field of CAQDAS and have trained thousands of students and researchers in using software. Reading this book is like having Ann and Christina at your shoulder as you analyse your data! |
| nvivo text mining: An Introduction to Health Services Research Dawn-Marie Walker, 2014-01-07 This is a primary, comprehensive textbook for people who are considering undertaking a piece of health-related research. It is an accessible companion with the aim of getting the reader to think broadly about all of the issues that need to be considered when embarking on a project. This is a pragmatic book, a step-by-step guide to research which mirrors the structure of a research project, taking you through the thought process for designing and conducting your study from formulating the right research question at idea inception, ascertaining what methodologies and analysis can answer what type of questions, right through to dissemination, all presented in an easy, digestible style. The book is full of case study illustrations and practical tips such as how to work out a research budget and obtaining funding for your project, discussion of what permissions need to obtained when conducting research with people, and how to involve public and patients. The authors are all experienced researchers and so this book is an accumulation of collective wisdom on common research challenges and issues. |
| nvivo text mining: Quantitative Narrative Analysis Roberto Franzosi, 2010 This volume focuses on the fundamental features of narrative as a specific type of text genre with certain invariant linguistic properties. |
| nvivo text mining: Social Media Data Extraction and Content Analysis Shalin Hai-Jew, 2017 Modeling with social data -- Devising parametric user models for processing and analysing social media data to influence user behaviour : using quantitative and qualitative analysis of social media data / Jonathan Bishop -- Mining the edublogosphere : towards modeling networks of online resources to enhance teacher professional development / Eric Gilbert Poitras and Negar Fazeli Dehkordi -- Weak ties and value of a network in the new internet economy / Davide Di Fatta, Roberto Musotto, Vittorio D'Aleo, Walter Vesperi, Giacomo Morabito, and Salvatore Lo Bue -- Usability evaluation of social media web sites and applications via eye-tracking method / Duygu Mutlu-Bayraktar -- Analytics from the online crowd -- A router recommender system based on current and historical crowdsourcing / Marlene Goncalves, Patrick Samuel Rengifo Mezerhane, Daniela Andreina Rodriguez, Ivette C. Martinez -- Customer complaints in social networks in the Spanish telecommunication industry : an analysis using critizen / Antonia Estrella-Ramón and Alba Utrera-Serrano -- Applied analytical distant reading using NVivo 11 Plus / Shalin Hai-Jew -- Conducting sentiment analysis and post-sentiment data exploration through automated means / Shalin Hai-Jew -- Tapping specific social media platforms -- Exploring user, video, and (pseudo) multi-mode networks on youtube with NodeXL / Shalin Hai-Jew -- Flickering emotions : feeling-based associations from related tags networks based on flickr contents / Shalin Hai-Jew -- Creating (social) network art with NodeXL / Shalin Hai-Jew -- Applied uses of social media data for awareness and problem-solving -- Social network synthesis : a dynamic approach for building distance education programs / E. Pinar Uca-Günes and Gülsün Eby -- Facebook content analysis : a study into Australian banks' online community engagement / Vindaya Senadheera, Matthew Warren, Shona Leitch, and Graeme Pye -- Code reuse / Donna Bridgham |
| nvivo text mining: Social Media Data Extraction and Content Analysis Hai-Jew, Shalin, 2016-08-01 In today’s society, the utilization of social media platforms has become an abundant forum for individuals to post, share, tag, and, in some cases, overshare information about their daily lives. As significant amounts of data flood these venues, it has become necessary to find ways to collect and evaluate this information. Social Media Data Extraction and Content Analysis explores various social networking platforms and the technologies being utilized to gather and analyze information being posted to these venues. Highlighting emergent research, analytical techniques, and best practices in data extraction in global electronic culture, this publication is an essential reference source for researchers, academics, and professionals. |
| nvivo text mining: Corpus Linguistics for Education Pascual Pérez-Paredes, 2020-07-30 Corpus Linguistics for Education provides a practical and comprehensive introduction to the use of corpus research-methods in the field of education. Taking a hands-on approach to showcase the applications of corpora in the exploration of educationally relevant topics, this book: • covers 18 key skills including corpus building, the role of frequency, different corpus methods, transcription and annotation; • demonstrates the use of available corpora and desktop and online corpus analysis tools to conduct original analyses; • features case studies and step-by-step guides within each chapter; • emphasises the use of interview data in research projects. Corpus Linguistics for Education is an essential guide for students and researchers studying or conducting their own corpus-based research in education. |
| nvivo text mining: Digital Tools for Qualitative Research Trena Paulus, Jessica N. Lester, Paul Dempster, 2013-12-30 Digital Tools for Qualitative Research shows how the research process in its entirety can be supported by technology tools in ways that can save time and add robustness and depth to qualitative work. It addresses the use of a variety of tools (many of which may already be familiar to you) to support every phase of the research process, providing practical case studies taken from real world research. The text shows you how to select and use technology tools to: engage in reflexivity collaborate with other researchers and stakeholders manage your project do your literature review generate and manage your data transcribe and analyse textual, audio and visual data and represent and share your findings. The book also considers important ethical issues surrounding the use of various technologies in each chapter. On the companion website, you′ll find lots of additional resources including video tutorials and activities. Whether you′re a novice or expert social researcher, this book will inspire you to think creatively about how to approach your research project and get the most out of the huge range of tools available to you. |
| nvivo text mining: Enablers of Organisational Learning, Knowledge Management, and Innovation Preethi Kesavan, 2021-11-21 This book establishes constructivist, interpretivist, and linguistic approaches based on conventions about the nature of qualitative and text data, the author’s influence on text interpretation, and the validity checks used to justify text interpretations. Vast quantities of text and qualitative data in organizations often go unexplored. Text analytics outlined in this book allow readers to understand the process of converting unstructured text data into meaningful data for analysis in order to measure employee opinions, feedback, and reviews through sentiment analysis to support fact-based decision making. The methods involve using NVivo and RapidMiner software to perform lexical analysis, categorization, clustering, pattern recognition, tagging, annotation, memo creation, information extraction, association analysis, and visualization. The methodological approach in the book uses innovation theory as a sensitizing concept to lay the foundation for the analysis of research data, suggesting approaches for empirical exploration of organizational learning, knowledge management, and innovation practices amongst geographically dispersed individuals and team members. Based on data obtained from a private educational organization that has offices dispersed across Asia through focus group discussions and interviews on these topics, the author highlights the need for integrating organizational learning, knowledge management, and innovation to improve organizational performance, exploring perspectives on collective relationships and networks, organizational characteristics and structures, and tacit and overt values which influence such innovation initiatives. In the process, the author puts forward a new theory which is built on three themes: relationship and networks, knowledge sharing mechanisms, and the role of social cognitive schema that facilitate emergent learning, knowledge management, and innovation. |
| nvivo text mining: Integrating Analyses in Mixed Methods Research Patricia Bazeley, 2017-09-25 Integrating Analyses in Mixed Methods Research goes beyond mixed methods research design and data collection, providing a pragmatic discussion of the challenges of effectively integrating data to facilitate a more comprehensive and rigorous level of analysis. Showcasing a range of strategies for integrating different sources and forms of data as well as different approaches in analysis, it helps you plan, conduct, and disseminate complex analyses with confidence. Key techniques include: Building an integrative framework Analysing sequential, complementary and comparative data Identifying patterns and contrasts in linked data Categorizing, counting, and blending mixed data Managing dissonance and divergence Transforming analysis into warranted assertions With clear steps that can be tailored to any project, this book is perfect for students and researchers undertaking their own mixed methods research. |
| nvivo text mining: Qualitative Methods for Marketplace Research Shay Sayre, 2001-03-21 The author draws on techniques from anthropology, sociology, psychology, and communication to guide the reader through all the naunces of qualitative methods needed to develop and analyse state-of-the-art market place studies. |
| nvivo text mining: Data Engineering for Smart Systems Priyadarsi Nanda, Vivek Kumar Verma, Sumit Srivastava, Rohit Kumar Gupta, Arka Prokash Mazumdar, 2021-11-13 This book features original papers from the 3rd International Conference on Smart IoT Systems: Innovations and Computing (SSIC 2021), organized by Manipal University, Jaipur, India, during January 22–23, 2021. It discusses scientific works related to data engineering in the context of computational collective intelligence consisted of interaction between smart devices for smart environments and interactions. Thanks to the high-quality content and the broad range of topics covered, the book appeals to researchers pursuing advanced studies. |
| nvivo text mining: Humanities Data in R Taylor Arnold, Lauren Tilton, 2015-09-23 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. |
About NVivo - qsrinternational.com
NVivo is the premier software for qualitative data analysis. Qualitative researchers describe, evaluate and interpret social phenomena. They analyze data from interviews, surveys, field …
Your 14-day Free Trial of NVivo is steps away!
Your 14-day Free Trial of NVivo is steps away! Once you create your Lumivero account, you will receive access to the software download to begin your free trial. With NVivo, you will be able to:
Installing NVivo - qsrinternational.com
Installing NVivo. If you're completely new to NVivo (and don't have a myLumivero profile) you can trial it here, or buy it here. If you have a myLumivero account, log into the myLumivero portal …
About NVivo - qsrinternational.com
What is NVivo? NVivo Windows Release 1 is a desktop application that lets users organize, analyze and visualize information—anything from Word documents and PDFs to videos, …
NVivo 11 for Windows Help - Welcome
Introducing NVivo. What's new in NVivo 11? Using NVivo for qualitative research. Understand the key concepts. Use this NVivo Help. New features and enhancements. Understand product …
Getting started basics - qsrinternational.com
Intro & Import: A general overview of what NVivo does, and how to import data. Organize: A first look at how to code, note-keeping options, how to create cases (the units of analysis) and give …
About NVivo
What is NVivo? NVivo 12 Windows is a desktop application that is available in 32-bit and 64-bit versions. NVivo lets users organize, analyze and visualize information—anything from Word …
Standard installation (NVivo 15 Windows) - qsrinternational.com
Follow these steps to install NVivo using the wizard: Locate and double-click the NVivo file that you downloaded—the installation process starts automatically. Follow the prompts to: Select a …
入门教程 - qsrinternational.com
本节中的三个教程旨在帮助新用户尽快开始使用 NVivo 。 一旦你了解了基础知识， Getting Started with NVivo 的 43 个YouTube视频（英文）将进一步发展你对NVivo的认识。
NVivo 10 for Windows Help - qsrinternational.com
If you used NVivo for your literature review, run a query or create a chart to demonstrate how your findings compare with the views of other authors. Using NVivo to organize and analyze your …
About NVivo - qsrinternational.com
NVivo is the premier software for qualitative data analysis. Qualitative researchers describe, evaluate and interpret social phenomena. They analyze data from interviews, surveys, field …
Your 14-day Free Trial of NVivo is steps away!
Your 14-day Free Trial of NVivo is steps away! Once you create your Lumivero account, you will receive access to the software download to begin your free trial. With NVivo, you will be able to:
Installing NVivo - qsrinternational.com
Installing NVivo. If you're completely new to NVivo (and don't have a myLumivero profile) you can trial it here, or buy it here. If you have a myLumivero account, log into the myLumivero portal to …
About NVivo - qsrinternational.com
What is NVivo? NVivo Windows Release 1 is a desktop application that lets users organize, analyze and visualize information—anything from Word documents and PDFs to videos, …
NVivo 11 for Windows Help - Welcome
Introducing NVivo. What's new in NVivo 11? Using NVivo for qualitative research. Understand the key concepts. Use this NVivo Help. New features and enhancements. Understand product …
Getting started basics - qsrinternational.com
Intro & Import: A general overview of what NVivo does, and how to import data. Organize: A first look at how to code, note-keeping options, how to create cases (the units of analysis) and give …
About NVivo
What is NVivo? NVivo 12 Windows is a desktop application that is available in 32-bit and 64-bit versions. NVivo lets users organize, analyze and visualize information—anything from Word …
Standard installation (NVivo 15 Windows) - qsrinternational.com
Follow these steps to install NVivo using the wizard: Locate and double-click the NVivo file that you downloaded—the installation process starts automatically. Follow the prompts to: Select a …
入门教程 - qsrinternational.com
本节中的三个教程旨在帮助新用户尽快开始使用 NVivo 。 一旦你了解了基础知识， Getting Started with NVivo 的 43 个YouTube视频（英文）将进一步发展你对NVivo的认识。
NVivo 10 for Windows Help - qsrinternational.com
If you used NVivo for your literature review, run a query or create a chart to demonstrate how your findings compare with the views of other authors. Using NVivo to organize and analyze your …
