Strategies for Interpreting Qualitative Data


Book Description

Introduces and gives examples of some interpretive techniques for analyzing qualitative data that derive from four theories: ethnomethodology, semiotics, dramaturgy and deconstruction.




Analyzing and Interpreting Qualitative Research


Book Description

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.




Interpreting Qualitative Data


Book Description

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.




An Introduction to Qualitative Research


Book Description

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.




Integrating Analyses in Mixed Methods Research


Book Description

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.




Interpreting Qualitative Data


Book Description

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.




Introduction to Educational Research


Book Description

W. Newton Suter argues that what is important in a changing education landscape is the ability to think clearly about research methods, reason through complex problems and evaluate published research. He explains how to evaluate data and establish its relevance.




A Step-by-Step Guide to Qualitative Data Coding


Book Description

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.




Qualitative Data Analysis


Book Description

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.




The SAGE Handbook of Qualitative Data Analysis


Book Description

The wide range of approaches to data analysis in qualitative research can seem daunting even for experienced researchers. This handbook is the first to provide a state-of-the art overview of the whole field of QDA; from general analytic strategies used in qualitative research, to approaches specific to particular types of qualitative data, including talk, text, sounds, images and virtual data. The handbook includes chapters on traditional analytic strategies such as grounded theory, content analysis, hermeneutics, phenomenology and narrative analysis, as well as coverage of newer trends like mixed methods, reanalysis and meta-analysis. Practical aspects such as sampling, transcription, working collaboratively, writing and implementation are given close attention, as are theory and theorization, reflexivity, and ethics. Written by a team of experts in qualitative research from around the world, this handbook is an essential compendium for all qualitative researchers and students across the social sciences.