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Qualitative Data Analysis: An Expanded Sourcebook

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.
Citations
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Journal ArticleDOI
TL;DR: In this paper, the authors explore the critical dimensions necessary to create and maintain the success of a luxury fashion brand using case studies of 12 international fashion retailers, using semi-structured interviews with management to explore their knowledge and experiences.
Abstract: Purpose: To explore the critical dimensions necessary to create and maintain the success of a luxury fashion brand Design/methodology/approach: This study adopts a qualitative approach in the form of case studies of 12 international fashion retailers This involved semi-structured interviews with management to explore their knowledge and experiences, supported by secondary research such as internal documents and media reports Findings: Identifies nine interrelated key luxury fashion brand attributes that are crucial in the creation and maintenance of the brand proposition The management of the luxury fashion brand is complex, and requires a consistent and coherent approach Originality/value: An empirical understanding of the luxury fashion brand's critical dimensions will assist in effective and efficient luxury fashion brand management

483 citations

Journal ArticleDOI
TL;DR: In the process of undertaking a meta-synthesis of qualitative studies of free-standing midwife-led units, the authors of this paper encountered a number of methodologically and epistemologically unresolved issues related to the assessment of the quality of qualitative research.

483 citations


Cites background or methods from "Qualitative Data Analysis: An Expan..."

  • ...Oakley (1993) first questioned whether research was ‘on’ or ‘with’ women in challenging the traditional hierarchical relationship of the researcher and the researched....

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  • ...The analytic approach in qualitative research has been the subject of much debate (Miles and Huberman, 1994; Morse, 1994; Sandelowski et al., 1997)....

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Journal ArticleDOI
TL;DR: A taxonomy of techniques is provided, focusing on those for data collection, organized according to the degree of human intervention each requires, and a discussion of how to use it effectively is provided.
Abstract: Software engineering is an intensively people-oriented activity, yet too little is known about how designers, maintainers, requirements analysts and all other types of software engineers perform their work. In order to improve software engineering tools and practice, it is therefore essential to conduct field studies, i.e. to study real practitioners as they solve real problems. To do so effectively, however, requires an understanding of the techniques most suited to each type of field study task. In this paper, we provide a taxonomy of techniques, focusing on those for data collection. The taxonomy is organized according to the degree of human intervention each requires. For each technique, we provide examples from the literature, an analysis of some of its advantages and disadvantages, and a discussion of how to use it effectively. We also briefly talk about field study design in general, and data analysis.

481 citations

Journal ArticleDOI
TL;DR: Results show that fulfilled obligations predict success over and above the effects of contract type, duration, and size.
Abstract: Information technology (IT) outsourcing success requires careful management of customer-supplier relationships. However, there are few published studies on the ongoing relationships, and most of these adopt a customer perspective, de-emphasizing suppliers. In this study, we look at both customer and supplier perspectives, by means of the psychological contract of customer and supplier project managers. We apply the concept of psychological contract to perceived mutual obligations, and to how such fulfillment of obligations can predict success. Our research questions are (1) What are the critical customer-supplier obligations in an IT outsourcing relationship? and (2) What is the impact of fulfilling these obligations on success?We use a sequential, qualitative-quantitative approach to develop and test our model. In the qualitative study, we probe the nature of customer-supplier obligations using in-depth interviews. Content analysis of interview transcripts show that both customers and suppliers identify six obligations that are critical to success. Customers perceive supplier obligations to be accurate project scoping, clear authority structures, taking charge, effective human capital management, effective knowledge transfer, and effective interorganizational teams. Suppliers perceive customer obligations as clear specifications, prompt payment, close project monitoring, dedicated project staffing, knowledge sharing, and project ownership. In the second quantitative study, we assess the impact of fulfilling these obligations on success through a field study of 370 managers. Results show that fulfilled obligations predict success over and above the effects of contract type, duration, and size.

479 citations

BookDOI
01 Jan 2004
TL;DR: This chapter discusses the development of Instructional Design for Supporting the Development of Students' Statistical Reasoning and research on Statistical Literacy, Reasoning, and Thinking.
Abstract: Statistical Literacy, Reasoning, and Thinking: Goals, Definitions, and Challenges.- Towards an Understanding of Statistical Thinking.- Statistical Literacy.- A Comparison of Mathematical and Statistical Reasoning.- Models of Development in Statistical Reasoning.- Reasoning about Data Analysis.- Learning to Reason About Distribution.- Conceptualizing an Average as a Stable Feature of a Noisy Process.- Reasoning About Variation.- Reasoning about Covariation.- Students' Reasoning about the Normal Distribution.- Developing Reasoning about Samples.- Reasoning about Sampling Distribitions.- Primary Teachers' Statistical Reasoning about Data.- Secondary Teachers' Statistical Reasoning in Comparing Two Groups.- Principles of Instructional Design for Supporting the Development of Students' Statistical Reasoning.- Research on Statistical Literacy, Reasoning, and Thinking: Issues, Challenges, and Implications.

477 citations