Download Free Strategies For Interpreting Qualitative Data Book in PDF and EPUB Free Download. You can read online Strategies For Interpreting Qualitative Data and write the review.

Introduces and gives examples of some interpretive techniques for analyzing qualitative data that derive from four theories: ethnomethodology, semiotics, dramaturgy and deconstruction.
Drawing on the expertise of major names in the field, this text provides comprehensive coverage of the key methods for analyzing, interpreting, and writing up qualitative research in a single volume.
In this exciting and major updating of one the most important textbooks for beginning qualitative researchers, David Silverman seeks to match the typical chronology of experience faced by the student-reader. Earlier editions of Interpreting Qualitative Data largely sought to provide material for students to answer exam questions, yet the undergraduate encounter with methods training is increasingly assessed by students doing their own research project. In this context, the objective of the Third Edition is to offer undergraduates the kind of hands-on training in qualitative research required to guide them through the process.
Written by an experienced researcher in the field of qualitative methods, this dynamic new book provides a definitive introduction to analysing qualitative data. It is a clear, accessible and practical guide to each stage of the process, including: - Designing and managing qualitative data for analysis - Working with data through interpretive, comparative, pattern and relational analyses - Developing explanatory theory and coherent conclusions, based on qualitative data. The book pairs theoretical discussion with practical advice using a host of examples from diverse projects across the social sciences. It describes data analysis strategies in actionable steps and helpfully links to the use of computer software where relevant. This is an exciting new addition to the literature on qualitative data analysis and a must-read for anyone who has collected, or is preparing to collect, their own data.
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.
The updated Fourth Edition of Gretchen B. Rossman and Sharon F. Rallis’s popular introductory text leads the new researcher into the field by explaining the core concepts through theory, research, and applied examples. Woven into the chapters are three themes that are the heart of the book: first, research is about learning; second, research can and should be useful; and finally, a researcher should practice the highest ethical standards to ensure that a study is trustworthy. The Fourth Edition includes an elaborate discussion of systematic inquiry as well as a nuanced discussion of developing a conceptual framework.
Analysing Qualitative Data in Psychology equips students and researchers in psychology and the social sciences to carry out qualitative data analysis, focusing on four major methods (grounded theory, interpretative phenomenological analysis, discourse analysis and narrative analysis). Assuming no prior knowledge of qualitative research, chapters on the nature, assumptions and practicalities of each method are written by acknowledged experts. To help students and researchers make informed methodological choices about their own research the book addresses data collection and the writing up of research using each method, while providing a sustained comparison of the four methods, backed up with authoritative analyses using the different methods.
In his signature pragmatic and friendly style, David Silverman acts as your stand-in supervisor in the seventh edition of this book, taking you step-by-step through different methods for making sense of qualitative data. Whether you are interested in analysing visual images, interviews, focus groups or online data, this book provides a clear framework for using qualitative data to answer your research questions. The book provides: • A strong grounding in research design principles so you can embed best practice into your research project. • Diverse real-world examples so you can see how principles are applied in practice. • Coverage of new developments in qualitative research including working with online data. If you are new to qualitative research or conducting your first research project in the social sciences, this book gives you the practical grounding in qualitative methods you need to get started.
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.
This a much expanded and updated version of David Silverman’s best-selling introductory textbook for the beginning qualitative researcher. Features of the New Edition: Takes account of the flood of qualitative work since the 1990s All chapters have been substantially rewritten with the aim of greater clarity A new chapter on Visual Images and a considerably expanded treatment of discourse analysis are provided The number of student exercises has been considerably increased and are now present at the end of every chapter An even greater degree of student accessibility: Key Points and Recommended Readings appear at the end of each chapter and technical terms are highlighted and appear in a Glossary A more inter-disciplinary social science text which takes account of the growing interest in qualitative research outside sociology and anthropology from psychology to geography, information systems, health promotion, management and many other disciplines Expanded coverage – 50% longer than the First Edition Interpreting Qualitative Data – New Edition is a companion volume to Silverman's Doing Qualitative Research (Sage, 2000), which is a guide to the business of conducting a research project, together with its accompanying volume of key readings Qualitative Research: Theory Method & Practice, (Sage, 1997), which provides further more focused material that students need before contemplating their own qualitative research study.