Book•
Qualitative Data Analysis: An Expanded Sourcebook
12 Jan 1994-
TL;DR: This book presents a step-by-step guide to making the research results presented in reports, slideshows, posters, and data visualizations more interesting, and describes how coding initiates qualitative data analysis.
Abstract: Matthew B. Miles, Qualitative Data Analysis A Methods Sourcebook, Third Edition. The Third Edition of Miles & Huberman's classic research methods text is updated and streamlined by Johnny Saldana, 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 comprehension. The Third Edition's presentation of the fundamentals of research design and data management is followed by five distinct methods of analysis: exploring, describing, ordering, explaining, and predicting. Miles and Huberman's original research studies are profiled and accompanied with new examples from Saldana's recent qualitative work. The book's most celebrated chapter, "Drawing and Verifying Conclusions," is retained and revised, and the chapter on report writing has been greatly expanded, and is now called "Writing About Qualitative Research." Comprehensive and authoritative, Qualitative Data Analysis has been elegantly revised for a new generation of qualitative researchers. Johnny Saldana, The Coding Manual for Qualitative Researchers, Second Edition. The Second Edition of Johnny Saldana's international bestseller provides an in-depth guide to the multiple approaches available for coding qualitative data. Fully up-to-date, it includes new chapters, more coding techniques and an additional glossary. Clear, practical and authoritative, the book: describes how coding initiates qualitative data analysis; demonstrates the writing of analytic memos; discusses available analytic software; suggests how best to use the book for particular studies. In total, 32 coding methods are profiled that can be applied to a range of research genres from grounded theory to phenomenology to narrative inquiry. For each approach, Saldana discusses the method's origins, a description of the method, practical applications, and a clearly illustrated example with analytic follow-up. A unique and invaluable reference for students, teachers, and practitioners of qualitative inquiry, this book is essential reading across the social sciences. Stephanie D. H. Evergreen, Presenting Data Effectively Communicating Your Findings for Maximum Impact. This is a step-by-step guide to making the research results presented in reports, slideshows, posters, and data visualizations more interesting. Written in an easy, accessible manner, Presenting Data Effectively provides guiding principles for designing data presentations so that they are more likely to be heard, remembered, and used. The guidance in the book stems from the author's extensive study of research reporting, a solid review of the literature in graphic design and related fields, and the input of a panel of graphic design experts. Those concepts are then translated into language relevant to students, researchers, evaluators, and non-profit workers - anyone in a position to have to report on data to an outside audience. The book guides the reader through design choices related to four primary areas: graphics, type, color, and arrangement. As a result, readers can present data more effectively, with the clarity and professionalism that best represents their work.
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TL;DR: In this paper, the authors examine employees' reactions to Corporate Social Responsibility (CSR) programs at the attitudinal level, showing that the implementation of CSR programs generates two types of attitudes in employees: attitudes toward the organization and attitudes toward society.
Abstract: This paper examines employees’ reactions to Corporate Social Responsibility (CSR) programs at the attitudinal level. The results presented are drawn from an in-depth study of two Chilean construction firms that have well-established CSR programs. Grounded theory was applied to the data prior to the construction of the conceptual framework. The analysis shows that the implementation of CSR programs generates two types of attitudes in employees: attitudes toward the organization and attitudes toward society. These two broad types of attitudes can then be broken down into four different categories: (1) acceptance of the new role of the organization, (2) identification with the organization, (3) importance attached to the work performed and (4) a sense of social justice. In turn, each of these categories is a grouping of many different concepts, some of which have at first sight little to do with CSR. Finally, the analysis reveals an attitudinal employee typology: the committed worker, the indifferent worker, and the dissident worker.
359 citations
TL;DR: This paper describes empirical research into agile requirements engineering (RE) practices and provides a framework for evaluating the impact and appropriateness of agile RE practices by relating them to RE risks.
Abstract: This paper describes empirical research into agile requirements engineering (RE) practices Based on an analysis of data collected in 16 US software development organizations, we identify six agile practices We also identify seven challenges that are created by the use of these practices We further analyse how this collection of practices helps mitigate some, while exacerbating other risks in RE We provide a framework for evaluating the impact and appropriateness of agile RE practices by relating them to RE risks Two risks that are intractable by agile RE practices emerge from the analysis First, problems with customer inability and a lack of concurrence among customers significantly impact agile development Second, risks associated with the neglecting non-functional requirements such as security and scalability are a serious concern Developers should carefully evaluate the risk factors in their project environment to understand whether the benefits of agile RE practices outweigh the costs imposed by the challenges
357 citations
Cites methods from "Qualitative Data Analysis: An Expan..."
...We used a purposeful sampling strategy in this research (Miles & Huberman, 1994)....
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...Data analysis was conducted in parallel to data collection (Miles & Huberman, 1994)....
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TL;DR: Progressive focusing is wellsuited to qualitative research in international business requiring complex iteration between theory and data, and the truthful yet coherent presentation of the research process as mentioned in this paper, where the researcher to gradually refine/shift their focus to reflect what really matters.
Abstract: The business and management community increasingly recognises that qualitative research is a ‘messy’, non-linear and often unpredictable undertaking. Yet, a considerable proportion of the qualitative research published in top journals is still presented as the result of a linear, predictable research process, thus wrongly suggesting deductive reasoning.
In this paper, we focus on a particular type of ‘messiness’ where during fieldwork, the research context is revealed to be more complex than anticipated, forcing the researcher to gradually refine/shift their focus to reflect ‘what really matters’. We adopt Stake’s notion of progressive focusing for this gradual approach.
Progressive focusing is well-suited to qualitative research in international business requiring complex iteration between theory and data, and the truthful yet coherent presentation of the research process. We propose that this dual challenge of complexity and trustworthiness may be addressed by using computer-assisted qualitative data analysis software (CAQDAS).
We present conceptual considerations and guidelines and offer a view on a ‘messy’, non-linear doctoral research project conducted using a progressive focusing approach, to demonstrate how CAQDAS can help to develop and re-negotiate insights from theory and interview data, as well as enhance trustworthiness, transparency and publication potential.
357 citations
01 Jan 2009
TL;DR: This article examines the process of conducting the interview from a generic point of view, while making reference to different approaches, to contribute to in-depth data collection.
Abstract: Background: The one-to-one interview is a commonly used data collection method in health and social research. Increasing attention has been given in the literature to the process of conducting an interview, particularly with respect to the role of the interviewer and the relationship between the interviewer and interviewee. The individual interview is a valuable method of gaining insight into people’s perceptions, understandings and experiences of a given phenomenon and can contribute to in-depth data collection. However, the interview is more than a conversational interaction between two people and requires considerable knowledge and skill on behalf of the interviewer. Content: Interviews vary in type and structure depending on their philosophical orientation. This article examines the process of conducting the interview from a generic point of view, while making reference to different approaches. Considerations are also raised regarding interviewing in challenging situations. Conclusions: Several important stages need to be followed when conducting an interview. The nature of the questions, questioning techniques, listening and the interviewer-interviewee interactions are crucial to obtaining a successful outcome. Similarly, ethical considerations and the protection of participants are fundamental aspects of interviewing. Although interview data may be used as evidence about people’s perceptions and understanding, it is pertinent to remember that responses may be shaped by variables such as if and how the interviewer has infl uenced the interviewee, and the level of trust and rapport between the two people. Hence, it is essential that interviewers are cognisant of the various techniques underpinning the interview process to maximize results.
357 citations
TL;DR: A new, nonlinear model of information-seeking behavior is offered, which contrasts with earlier stage models of information behavior and represents a potential cornerstone for a shift toward a new perspective for understanding user information behavior.
Abstract: This paper offers a new, nonlinear model of information-seeking behavior, which contrasts with earlier stage models of information behavior and represents a potential cornerstone for a shift toward a new perspective for understanding user information behavior. The model is based on the findings of a study on interdisciplinary information-seeking behavior. The study followed a naturalistic inquiry approach using interviews of 45 academics. The interview results were inductively analyzed and an alternative framework for understanding information-seeking behavior was developed. This model illustrates three core processes and three levels of contextual interaction, each composed of several individual activities and attributes. These interact dynamically through time in a nonlinear manner. The behavioral patterns are analogous to an artist's palette, in which activities remain available throughout the course of information-seeking. In viewing the processes in this way, neither start nor finish points are fixed, and each process may be repeated or lead to any other until either the query or context determine that information-seeking can end. The interactivity and shifts described by the model show information-seeking to be nonlinear, dynamic, holistic, and flowing. The paper offers four main implications of the model as it applies to existing theory and models, requirements for future research, and the development of information literacy curricula. Central to these implications is the creation of a new nonlinear perspective from which user information-seeking can be interpreted.
356 citations
Cites methods from "Qualitative Data Analysis: An Expan..."
...Advice on inductive coding came from Denzin and Lincoln (1994), Miles and Huberman (1994), and Strauss and Corbin (1990)....
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