8 edition of Analyzing qualitative data found in the catalog.
Includes bibliographical references and index.
|Statement||edited by Alan Bryman and Robert G. Burgess.|
|Contributions||Bryman, Alan., Burgess, Robert G.|
|LC Classifications||HA29 .A5828 1993|
|The Physical Object|
|Pagination||xii, 232 p. :|
|Number of Pages||232|
|ISBN 10||0415060621, 041506063X|
|LC Control Number||93003471|
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Unlike Creswell's book, this one focuses on techniques used to analyze qualitative data. It explores techniques independent of the research approaches.
The exposition here is introductory using running examples and with pointers to get more details. Even so, it is not a book to read and get in one cover-to-cover by: Gibbs' book is an elegant overview of qualitative data analytic methods, a primer that is concise yet comprehensive as a reference.
I've used this text as required reading in my qualitative research methods course, and I highly recommend it for all students learning by: MAKING QUALITATIVE DATA MANAGEABLE My discussion of data analysis begins by drawing a distinction between the processes of making data manageable-or amenable to analysis-on the one hand, and actually developing an analysis on the other.
The first set of activities usually involves a variety of indexing Cited by: Qualitative research is now used to explore and understand a diversity of social and public policy issues, either as an independent research strategy or in combination with some form of statistical by: Outlining how to select the most appropriate tool for analyzing data, Analysing Qualitative Data also provides the reader with an awareness of the various challenges that are unique to interpreting the conceptual and subjective data generated in qualitative /5.
The fully updated Second Edition presents systematic methods for analyzing qualitative data with clear and easy-to-understand steps. The first half is an overview of the basics, from choosing a topic to collecting data, and coding to finding themes, while the second half covers different methods of analysis, including grounded theory, content analysis, analytic induction.
Analyzing Qualitative Data. This major inter-disciplinary collection, edited by two of the best respected figures in the field, provides a superb general introduction to this subject. 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.
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. books. She t alked to me, and I told her how I was feel- A Step-By-Step Guide to Qualitative Data Analysis.
life than t he one we had back in Zimbabwe and we got the opportunity. Analyzing Qualitative Data book. Read reviews from world’s largest community for readers. This major inter-disciplinary collection, edited by two of the /5. Sometimes, analyzing qualitative data is seen as the core of qualitative research in general, whereas the collection of data is more the preliminary step in preparing this.
There are different approaches to analyzing data in qualitative research, some of them more general. qualitative data analysis tends to be inductive—the analyst identifies important categories in the data, as well as patterns and relationships, through a process of discovery.
There are often no predefined measures or hypotheses. Analyzing Qualitative Data. The purpose of coding qualitative data is to take an overwhelmingly large amount of words or artifacts and organize them into manageable chunks.
Following the steps in this outline and reading chapter 5 in the Living the Questions book (Hubbard & Power, ) will help you do that. There are now numerous texts and sets of readings attempting to give guidance to researchers about the styles and strategies that can be used in qualitative research.
While much has been written about the collection of data, the books are often silent about the processes and procedures associated with data analysis. Thematic coding, also called thematic analysis, is a type of qualitative data analysis that finds themes in text by analyzing the meaning of words and sentence structure.
When you use thematic coding to analyze customer feedback for example, you. The Third Edition of Miles & Huberman's classic research methods text is updated and streamlined by Johnny Saldaña, author of The Coding Manual for Qualitative Researchers.
Several of the data display strategies from previous editions are now presented in re-envisioned and reorganized formats to enhance reader accessibility and s: 1. Doing qualitative research is not easy and may require a complete rethink of how research is conducted, particularly for researchers who are more familiar with quantitative approaches.
There are many ways of conducting qualitative research, and this paper has covered some of the practical issues regarding data collection, analysis, and management.
Qualitative data analysis can be divided into the following five categories: 1. Content analysis. This refers to the process of categorizing verbal or behavioural data 2. Narrative analysis. This method involves the reformulation of stories presented by respondents 3. Discourse analysis. Chapter 10 Analysing Qualitative Data.
At this stage of the book I am expecting you to have read the pre vious chapter on. Computer Assisted Qualitative Data Analysis Author: Trevor Male. Buy Analyzing Qualitative Data 1 by Burgess, Bob, Bryman, Alan (ISBN: ) from Amazon's Book Store.
Everyday low prices and free delivery on eligible orders/5(3). Qualitative data is defined as the data that approximates and characterizes.
Qualitative data can be observed and recorded. This data type is non-numerical in nature. This type of data is collected through methods of observations, one-to-one interview, conducting focus groups and similar methods.
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.
Analyzing Qualitative Data by Graham R. Gibbs,available at Book Depository with free delivery worldwide.5/5(1).
Chapters include discussions of fieldwork methodology, analyzing discourse, the advantages and pitfalls of team approaches, the uses of computers, and the applications of qualitative data analysis for social policy. Shrewd and insightful, the collection will be required reading for students of the latest thinking on research methods.
It is a must-have tool book for moving from data analysis to writing for publication!” –Guofang Li, University of British Columbia, Canada Miles, Huberman, and Saldaña’s Qualitative Data Analysis: A Methods Sourcebook is the authoritative text for analyzing and.
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High quality analysis of qualitative data depends on the skill, vision, and integrity of the researcher; it should not be left to the novice Relation between analysis and qualitative data In much qualitative research the analytical process begins during data collection as the data already gathered are analysed and shape the ongoing data collection.
Analysing Qualitative Data in Psychology equips students and researchers in psychology and the social sciences to carry out qualitative data analysis, focusi.
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Qualitative data analysis involves the identification, examination, and interpretation of patterns and themes in textual data and determines how these patterns and themes help answer the research questions at hand. Qualitative analysis is (NSF, ): Is a very fluid process that is highly dependent on the evaluator and the context of the study.
4/19/10 1 Analyzing Qualitative Data: With or without software Sharlene Hesse-Biber, Ph.D. Department of Sociology Boston College Chestnut Hill, MA Analyzing Qualitative Data: Systematic approach is a good textbook for Graduate students.
The book has great features which makes it a viable textbook for graduate students in terms of data analysis. One of the great features of this book is the different range of qualitative.
Since descriptive analysis is mostly used for analyzing single variable, it is often called univariate analysis. Analyzing Qualitative Data. Qualitative data analysis works a little differently from quantitative data, primarily because qualitative data is made up of words, observations, images, and even symbols.
Analyzing Qualitative Data: Words, Words, Words!: /ch This chapter provides an introduction to the process of qualitative analysis and uses step-by-step examples to provide an idea of how the process ofAuthor: Janice E.
Jones. Software for qualitative analysis: • ($99 student, $ full) • Nvivo ($ student, $ full) •CDC’s EZ-text ($0) • wikipedia computer assisted qualitative data analysis software: list of proprietary and open source software Do you need software to do qualitative research.
Qualitative Content Analysis. Qualitative content analysis is a distinct procedure from quantitative content analysis. This form of analysis is useful for analyzing large amounts of verbal data collected through interviews or focus groups and also offers possibilities for quantification of categories (Schreier, ).
Its restriction to a. Above all, qualitative data analysis requires sufficient time and immersion in the data. Computer textual software programs can facilitate selective text retrieval and quizzing the data, but discerning patterns and arriving at conclusions can be done only by the analysts.
This requirement involves intensive reading and rereading, developing. 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 data gathered regarding these factors can then be used to generate hypotheses, which can then be investigated further using larger samples and quantitative analysis methods. Qualitative Data Analysis. Qualitative data analysis (QDA), correspondingly, is a non-numerical mode of analyzing this data.