Thanks for helping us catch any problems with articles on DeepDyve. We'll do our best to fix them. Check all that apply - Please note that only the first page is available if you have not selected a reading option after clicking "Read Article". Include any more information that will help us locate the issue and fix it faster for you. Five ways of doing qualitative analysis: Phenomenological psychology, grounded theory, discourse analysis, narrative research, and intuitive inquiry By F.
McMullenR. JosselsonR. Anderson and E. Five ways of doing qualitative analysis exists in sharp contrast to many other texts in this domain and provides both novice and seasoned researchers with an engaging and active approach to many dimensions of qualitative research.
Although one text cannot possibly be expected to address all of the demands of qualitative research and I use the word demands very intentionally, as it seems that qualitative researchers are called upon to do a great dealthe six authors have achieved so much in this book that a thorough, but concise review is challenging, given that there is so much to recommend.
And, indeed. British Journal of Psychology — Wiley. Enjoy affordable access to over 18 million articles from more than 15, peer-reviewed journals. Get unlimited, online access to over 18 million full-text articles from more than 15, scientific journals. See the journals in your area. Continue with Facebook. Sign up with Google. Bookmark this article.This unique text provides a broad introduction to qualitative analysis together with concrete demonstrations and comparisons of five major approaches.
Leading scholars apply their respective analytic lenses to a narrative account and interview featuring "Teresa," a young opera singer who experienced a career-changing illness. The resulting analyses vividly exemplify what each approach looks like in action.
The researchers then probe the similarities and differences among their approaches; their distinctive purposes and strengths; the role, style, and subjectivity of the individual researcher; and the scientific and ethical complexities of conducting qualitative research.
Also included are the research participant's responses to each analysis of her experience. A narrative account from another research participant, "Gail," can be used by readers to practice the kinds of analysis explored in the book.
Guilford Press Labirint Ozon. Frederick J. WertzKathy CharmazLinda M. Chapter 9. Author Index. Subject Index. About the Authors. Chapter 8. Kathy CharmazLinda M. Wertz is Professor of Psychology at Fordham University, where he served as department chair, received the Distinguished Teaching Award in the Sciences, and is a member of the Institutional Review Board.
His scholarship focuses on the philosophy, methodology, theory, and cultural context of psychology. Much of her scholarship has either used or developed grounded theory methods. She has received mentoring and lifetime achievement awards from the Society for the Study of Symbolic Interaction. Linda M. McMullen is Professor of Psychology at the University of Saskatchewan, where she served as department head and elected faculty member on the Board of Governors.
Her research, which is qualitative and discursive in form, focuses on how people use language to do things and on how language shapes, and is shaped by, social and cultural contexts. Her work uses narrative approaches to investigate a variety of topics.
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Log In Sign Up. Download Free PDF. James Morley. Five Ways of Doing Qualitative analysis. Five ways of doing qualitative analysis: Phenomenological psychology, grounded theory, discourse analysis, narrative research, and intuitive inquiry. Far from being the lone advocates we have often imagined ourselves to be, we are in fact now accompanied by other psychologists who are using qualitative meth- ods for research.
We are not alone. Many other qualitative methods have emerged over the past few decades, parallel to phenomenological psychology, that do not call themselves phenomenological and, yet, are qualitative in their own right. Even further, are the diffferences impor- tant? Are the similarities real? This text offfers each of us such an opportunity to judge for ourselves.
Each researcher analyzed a written protocol and follow-up interview on the experience of a medi- cal trauma. These collegial meta-commentaries are perhaps the most unique and noteworthy feature of the entire project. There is no other text like this.
The book has three main sections. The primary research subject Emalinda McSpaddenwas invited to contribute a chapter and become a co-author. Understandably, this generated what appeared to be an uncanny but productive dialogue amongst the researchers.
This issue of the authority of the researcher was only one of many open-ended questions raised by this project. To put it another way, the variations in technique and the overall styles of thought or family resem- blances did not seem to contradict fundamental phenomenological notions. In short, as a phenomenological reader, it was both humbling and reassuring to see this implicit core commonality.
One leaves this work caring less about the labels qualitative researchers use for themselves as one realizes that, at the end of the day, it is the quality of the data analysis that most matters. But pluralism is not relativism.
Accepting diffferences is not a naive ignorance of discrepancy. But in honesty, it would be hard to say that all methods were equal in rigor and dimensional depth. The researchers themselves noted these variations. Some acknowledged discrepancy in attention to detail, theoretical rigor, and thematic emphasis between methods. Here, the collegial honesty was often very inspirational. From this text one becomes more aware than ever that it is a professional obligation to understand other qualitative methods.
Some interpreted the material in broad strokes; others paid very close attention to linguistic detail. While space does not allow a full accounting of these distinctions, it is a notewor- thy truism and general observation that method and outcome appear interwoven. But such an endeavor may only mimic the same misconceived goal of naturalist universalism in the social sciences.
While it may be the nature of qualita- tive research to be perpetually decentralized and dynamically adaptive to local context, this need not be a weakness. Furthermore, we can see common intellectual roots in American pragmatism and the continental phenomenologi- cally influenced traditions of hermeneutics and post structuralism.Unlike quantitative analysiswhich seeks to determine the quantity or amount of sample, qualitative analysis is a descriptive form of analysis.
In an educational setting, the concentrations of the ions to be identified are approximately 0. The "semimicro" level of qualitative analysis employs methods used to detect mg of an ion in 5 mL of solution. It's easy to contaminate the sample through poor laboratory technique, so it's important to adhere to certain rules:.
First, ions are removed in groups from the initial aqueous solution.
Qualitative Data Analysis
After each group has been separated, then testing is conducted for the individual ions in each group. Here is a common grouping of cations:. Many reagents are used in the qualitative analysis, but only a few are involved in nearly every group procedure. Understanding the uses of the reagents is helpful when planning an analysis. Share Flipboard Email. Anne Marie Helmenstine, Ph.
Five Tips for Conducting Effective Qualitative Interviews
Chemistry Expert. Helmenstine holds a Ph. She has taught science courses at the high school, college, and graduate levels. Facebook Facebook Twitter Twitter. Updated November 04, Qualitative analysis uses subjective judgment to analyze a company's value or prospects based on non-quantifiable information, such as management expertise, industry cycles, strength of research and development, and labor relations.
The two techniques, however, will often be used together to examine a company's operations and evaluate its potential as an investment opportunity.
The distinction between qualitative and quantitative approaches is similar to the difference between human and artificial intelligence. Quantitative analysis uses exact inputs such as profit margins, debt ratiosearnings multiples, and the like. Of course, for the time being, a human has to write the program that crunches these numbers, and that involves a fair degree of subjective judgment.
Qualitative analysis, on the other hand, deals with intangible, inexact concerns that belong to the social and experiential realm rather than the mathematical one. This approach depends on the kind of intelligence that machines currently lack, since things like positive associations with a brand, management trustworthiness, customer satisfaction, competitive advantage and cultural shifts are difficult, arguably impossible, to capture with numerical inputs.
Qualitative analysis can sound almost like "listening to your gut," and indeed many qualitative analysts would argue that gut feelings have their place in the process. That does not mean, however, that it is not a rigorous approach.
Indeed, it can consume much more time and energy than quantitative analysis. People are central to qualitative analysis. An investor might start by getting to know a company's managementincluding their educational and professional backgrounds. One of the most important factors is their experience in the industry.
More abstractly, do they have a record of hard work and prudent decision-making, or are they better at knowing — or being related to — the right people? Their reputations are also key: do their colleagues and peers respect them? Their relationships with business partners are also worth exploring since these can have a direct impact on operations. The way employees view the company and its management is important.
Are they satisfied and motivated, or do they resent their bosses? The rate of employee turnover can indicate employees' loyalty or lack thereof. What does workplace culture say about the company?Skip to search Skip to main content.
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Help Need help? Name of resource. Problem URL. Describe the connection issue. Five ways of doing qualitative analysis : phenomenological psychology, grounded theory, discourse analysis, narrative research, and intuitive inquiry. Responsibility Frederick J. Imprint New York : Guilford Press, c Physical description xiv, p. Available online. Full view. Green Library. F Unknown. More options. Find it at other libraries via WorldCat Limited preview.
Contributor Wertz, Frederick J.
Frederick Joseph Bibliography Includes bibliographical references and indexes. Contents Introduction. Part 1. A Story of Qualitative Research in Psychology.
From Innovative Practices to the Call for Methodology. The Establishment of Methodological Traditions. Contemporary Movement, Methodological Pluralism, and Challenges. Part 2. Five Approaches to Qualitative Data Analysis. Part 3. Pluralism, Participation, and Unity in Qualitative Research.
Comparisons through Five Lenses. The Participant's Response. Ethics, Participant Involvement, and Analytic Methodology. Appendix: Gail's Texts.Qualitative data refers to non-numeric information such as interview transcripts, notes, video and audio recordings, images and text documents. Qualitative data analysis can be divided into the following five categories:.
Content analysis. This refers to the process of categorizing verbal or behavioural data to classify, summarize and tabulate the data. Narrative analysis. This method involves the reformulation of stories presented by respondents taking into account context of each case and different experiences of each respondent.
In other words, narrative analysis is the revision of primary qualitative data by researcher. Discourse analysis. A method of analysis of naturally occurring talk and all types of written text. Framework analysis. This is more advanced method that consists of several stages such as familiarization, identifying a thematic framework, coding, charting, mapping and interpretation.
Grounded theory. This method of qualitative data analysis starts with an analysis of a single case to formulate a theory. Then, additional cases are examined to see if they contribute to the theory. Qualitative data analysis can be conducted through the following three steps:. Step 1: Developing and Applying Codes. Coding can be explained as categorization of data. All codes need to be assigned meaningful titles. A wide range of non-quantifiable elements such as events, behaviours, activities, meanings etc.
Coding can be done manually or using qualitative data analysis software such as. When using manual coding you can use folders, filing cabinets, wallets etc. Manual method of coding in qualitative data analysis is rightly considered as labour-intensive, time-consuming and outdated. In computer-based coding, on the other hand, physical files and cabinets are replaced with computer based directories and files.
When choosing software for qualitative data analysis you need to consider a wide range of factors such as the type and amount of data you need to analyse, time required to master the software and cost considerations. Moreover, it is important to get confirmation from your dissertation supervisor prior to application of any specific qualitative data analysis software. The following table contains examples of research titles, elements to be coded and identification of relevant codes:.
Leadership effectiveness A study into advantages and disadvantages of various entry strategies to Chinese market. Brand value An investigation into the ways of customer relationship management in mobile marketing environment. Step 2: Identifying themes, patterns and relationships. Unlike quantitative methodsin qualitative data analysis there are no universally applicable techniques that can be applied to generate findings.
Analytical and critical thinking skills of researcher plays significant role in data analysis in qualitative studies. Therefore, no qualitative study can be repeated to generate the same results.