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: The key stages in reviewing and synthesizing qualitative and quantitative evidence for decision-making are described and various strategies that could offer a way forward are looked at.
Abstract: Policy-makers and managers have always used a wide range of sources of evidence in making decisions about policy and the organization of services. However, they are under increasing pressure to adopt a more systematic approach to the utilization of the complex evidence base. Decision-makers must address complicated questions about the nature and significance of the problem to be addressed; the nature of proposed interventions; their differential impact; cost-effectiveness; acceptability and so on. This means that Cochrane-style reviews alone are not sufficient. Rather, they require access to syntheses of high-quality evidence that include research and non-research sources, and both qualitative and quantitative research findings. There is no single, agreed framework for synthesizing such diverse forms of evidence and many of the approaches potentially applicable to such an endeavour were devised for either qualitative or quantitative synthesis and/or for analysing primary data. This paper describes the key stages in reviewing and synthesizing qualitative and quantitative evidence for decision-making and looks at various strategies that could offer a way forward. We identify four basic approaches: narrative (including traditional 'literature reviews' and more methodologically explicit approaches such as 'thematic analysis', 'narrative synthesis', 'realist synthesis' and 'meta-narrative mapping'), qualitative (which convert all available evidence into qualitative form using techniques such as 'meta-ethnography' and 'qualitative cross-case analysis'), quantitative (which convert all evidence into quantitative form using techniques such as 'quantitative case survey' or 'content analysis') and Bayesian meta-analysis and decision analysis (which can convert qualitative evidence such as preferences about different outcomes into quantitative form or 'weights' to use in quantitative synthesis). The choice of approach will be contingent on the aim of the review and nature of the available evidence, and often more than one approach will be required.
1,238 citations
TL;DR: Wethenus the findings from the CoI framework's literature review are examined to identify potential pathways for research and the opportunities for identifyingfactor moderate and/ororextend the relationship between the framework's componentsandonline course outcomes.
Abstract: Since its publication in The Internet and Higher Education, Garrison, Anderson, and Archer's [Garrison, D. R., Anderson, T., & Archer, W.(2000). Critical inquiry in atext-based environment: Computer conferencing in highereducation.TheInternet andHigher Education, 2(2–3), 87–105.] community of inquiry (CoI) framework has generated substantial interest among online learning researchers.Thisliteraturereviewexaminesrecentresearchpertainingtotheoverallframeworkaswellastospecificstudiesonsocial, teaching,andcognitivepresence.Wethenusethefindingsfromthisliteraturetoidentifypotentialfuturedirectionsforresearch.Some oftheseresearchdirectionsincludetheneedformorequantitatively-oriented studies,theneedformorecross-disciplinarystudies,and theopportunitiesforidentifyingfactorsthatmoderateand/orextendtherelationshipbetween theframework'scomponentsandonline course outcomes. © 2007 Elsevier Inc. All rights reserved.
1,233 citations
Cites background from "Qualitative Data Analysis: An Expan..."
...To date, much of the research could be described best as interpretivist, in that there is an attempt to understand interactions through text analysis (Miles & Huberman, 1994)....
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TL;DR: A multilevel, longitudinal approach to better explain resistance to information technology implementation was used, finding that the bottom-up process by which group resistance behaviors emerge from individual behaviors is not the same in early versus late implementation.
Abstract: To better explain resistance to information technology implementation, we used a multilevel, longitudinal approach We first assessed extant models of resistance to IT Using semantic analysis, we identified five basic components of resistance: behaviors, object, subject, threats, and initial conditions We further examined extant models to (1) carry out a preliminary specification of the nature of the relationships between these components and (2) refine our understanding of the multilevel nature of the phenomenon Using analytic induction, we examined data from three case studies of clinical information systems implementations in hospital settings, focusing on physicians' resistance behaviors The resulting mixed-determinants model suggests that group resistance behaviors vary during implementation When a system is introduced, users in a group will first assess it in terms of the interplay between its features and individual and/or organizational-level initial conditions They then make projections about the consequences of its use If expected consequences are threatening, resistance behaviors will result During implementation, should some trigger occur to either modify or activate an initial condition involving the balance of power between the group and other user groups, it will also modify the object of resistance, from system to system significance If the relevant initial conditions pertain to the power of the resisting group vis-a-vis the system advocates, the object of resistance will also be modified, from system significance to system advocates Resistance behaviors will follow if threats are perceived from the interaction between the object of resistance and initial conditions We also found that the bottom-up process by which group resistance behaviors emerge from individual behaviors is not the same in early versus late implementation In early implementation, the emergence process is one of compilation, described as a combination of independent, individual behaviors In later stages of implementation, if group level initial conditions have become active, the emergence process is one of composition, described as the convergence of individual behaviors
1,219 citations
TL;DR: In this article, the authors investigated the purchasing process for green consumers in relation to consumer technology products in the UK and developed a green consumer purchasing model and success criteria for closing the gap between green consumers' values and their behaviour.
Abstract: The ‘attitude–behaviour gap’ or ‘values–action gap’ is where 30% of consumers report that they are very concerned about environmental issues but they are struggling to translate this into purchases. For example, the market share for ethical foods remains at 5 per cent of sales. This paper investigates the purchasing process for green consumers in relation to consumer technology products in the UK. Data were collected from 81 self-declared green consumers through in depth interviews on recent purchases of technology products. A green consumer purchasing model and success criteria for closing the gap between green consumers' values and their behaviour are developed. The paper concludes that incentives and single issue labels (like the current energy rating label) would help consumers concentrate their limited efforts. More fundamentally, ‘being green’ needs time and space in people's lives that is not available in increasingly busy lifestyles. Implications for policy and business are proposed. Copyright © 2009 John Wiley & Sons, Ltd and ERP Environment.
1,218 citations
Cites methods from "Qualitative Data Analysis: An Expan..."
...This was conducted in accordance with the framework developed by Miles and Huberman (1994), which comprises three components: data reduction, data display, and drawing conclusions....
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