The 4 Step Thematic Data Analysis With Maxqda
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| Author | : Udo Kuckartz |
| Publisher | : Springer |
| Total Pages | : 293 |
| Release | : 2019-05-31 |
| Genre | : Social Science |
| ISBN | : 3030156710 |
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.
| Author | : Amanfi |
| Publisher | : Independently Published |
| Total Pages | : 142 |
| Release | : 2019-08-13 |
| Genre | : |
| ISBN | : 9781089377542 |
This book presents a simplified approach for analyzing qualitative data using the thematic data analysis process advocated by Saldaña (2015). The book is specifically designed for PhD, DBA, and EdD students pursuing research in the qualitative methodology. The book includes the Data Analysis Procedures and the Results sections from my published dissertation, which first used the approach discussed in the book. Despite its theoretical orientation, the book provides practical examples of specific steps students can take using the MAXQDA software to organize, prepare, and analyze their data. The book is divided into 3 parts. Part 1 discusses ways to handle and manage your qualitative data. Part 2 discusses the four-step thematic analysis process for analyzing your qualitative data. Part 3 is a copy of the Data Analysis Procedures and the Results sections from my published dissertation, which put the book into context for doctoral students.
| Author | : Stefan Rädiker |
| Publisher | : Maxqda Press |
| Total Pages | : 0 |
| Release | : 2020 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 9783948768034 |
Qualitative interviews are a very popular data collection method for which the topics of conversation are usually determined in advance and set down in an interview guide. The focused analysis method presented in this textbook provides detailed recommendations on how to analyze interview data in a systematic and methodically controlled manner. The practical procedure for focused interview analyses using the MAXQDA software package is described in six easy-to-follow steps: 1. Prepare, organize, and explore data 2. Develop categories for your analysis 3. Code your interviews ("basic coding") 4. Develop your category system further and the second coding cycle ("fine coding") 5. Analysis options after coding 6. Write the research report and document the analysis process
| Author | : Ann Lewins |
| Publisher | : SAGE |
| Total Pages | : 312 |
| Release | : 2007-05 |
| Genre | : Computers |
| ISBN | : 9780761949237 |
Using Software in Qualitative Research is an essential introduction to the practice and principles of Computer Assisted Qualitative Data Analysis (CAQDAS), helping the reader choose the most appropriate package for their needs and to get the most out of the software once they are using it. This step-by-step book considers a wide range of tasks and processes, bringing them together to demystify qualitative software and encourage flexible and critical choices and uses of software in supporting analysis. The book can be read as a whole or by chapters, building on one another to provide a holistic sense of the analytic journey without advocating a particular sequential process. Accessible and comprehensive, Using Software in Qualitative Research provides a practical but analytically-grounded guide to thinking about and using software and will be an essential companion for any qualitative researcher.
| Author | : Johnny Saldana |
| Publisher | : SAGE |
| Total Pages | : 282 |
| Release | : 2009-02-19 |
| Genre | : Reference |
| ISBN | : 1446200124 |
The Coding Manual for Qualitative Researchers is unique in providing, in one volume, an in-depth guide to each of the multiple approaches available for coding qualitative data. In total, 29 different approaches to coding are covered, ranging in complexity from beginner to advanced level and covering the full range of types of qualitative data from interview transcripts to field notes. For each approach profiled, Johnny Saldaña discusses the method’s origins in the professional literature, a description of the method, recommendations for practical applications, and a clearly illustrated example.
| Author | : Udo Kuckartz |
| Publisher | : SAGE |
| Total Pages | : 193 |
| Release | : 2014-01-23 |
| Genre | : Reference |
| ISBN | : 1446297764 |
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 Master’s and Doctoral students across the social sciences and for all researchers concerned with the systematic analysis of texts of any kind.
| Author | : Philip Adu |
| Publisher | : Routledge |
| Total Pages | : 460 |
| Release | : 2019-04-05 |
| Genre | : Psychology |
| ISBN | : 1351044494 |
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.
| Author | : Margrit Schreier |
| Publisher | : SAGE |
| Total Pages | : 283 |
| Release | : 2012-02-21 |
| Genre | : Reference |
| ISBN | : 1446258750 |
Qualitative content analysis is a powerful method for analyzing large amounts of qualitative data collected through interviews or focus groups. It is frequently employed by students, but introductory textbooks on content analysis have largely focused on the quantitative version of the method. In one of the first to focus on qualitative content analysis, Margrit Schreier takes students step-by step through: - creating a coding frame - segmenting the material - trying out the coding frame - evaluating the trial coding - carrying out the main coding - what comes after qualitative content analysis - making use of software when conducting qualitative content analysis. Each part of the process is described in detail and research examples are provided to illustrate each step. Frequently asked questions are answered, the most important points are summarized, and end of chapter questions provide an opportunity to revise these points. After reading the book, students are fully equiped to conduct their own qualitative content analysis. Designed for upper level undergraduate, MA, PhD students and researchers across the social sciences, this is essential reading for all those who want to use qualitative content analysis.
| Author | : James V. Spickard |
| Publisher | : SAGE Publications |
| Total Pages | : 610 |
| Release | : 2016-09-15 |
| Genre | : Social Science |
| ISBN | : 1483387232 |
Research Basics: Design to Data Analysis in Six Steps offers a fresh and creative approach to the research process based on author James V. Spickard’s decades of teaching experience. Using an intuitive six-step model, readers learn how to craft a research question and then identify a logical process for answering it. Conversational writing and multi-disciplinary examples illuminate the model’s simplicity and power, effectively connecting the “hows” and “whys” behind social science research. Students using this book will learn how to turn their research questions into results.
| Author | : Anselm Strauss |
| Publisher | : SAGE Publications, Incorporated |
| Total Pages | : 336 |
| Release | : 1998-09-29 |
| Genre | : Social Science |
| ISBN | : 9780803959392 |
The Second Edition of this best-selling textbook continues to offer immensely practical advice and technical expertise that will aid researchers in analyzing and interpreting their collected data, and ultimately build theory from it. The authors provide a step-by-step guide to the research act. Full of definitions and illustrative examples, the book presents criteria for evaluating a study as well as responses to common questions posed by students of qualitative research.
