A. Michael Huberman

Bio: A. Michael Huberman is an academic researcher from University of Geneva. The author has contributed to research in topics: Qualitative research & Educational research. The author has an hindex of 12, co-authored 19 publications receiving 48117 citations.

Qualitative Data Analysis: An Expanded Sourcebook

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.

Drawing Valid Meaning from Qualitative Data: Toward a Shared Craft

Abstract: past year has contained a good deal of impassioned argument at the paradigmatic level (Eisner, 1983; Phillips, 1983; Smith, 1983b; Tuthill & Ashton, 1983). The debate turns around the claim that epistemologies and procedures such as logical empiricism, scientism, the hypothetico-deductive method, realism, experimentalism, and instrumentalism all go together and are inherently different from-in fact, incompatible with--contrasting epistemologies and procedures of phenomenology, hermeneutics, critical theory, verstehen approaches, and artistic modes of knowing. It is argued (e.g., Norris, 1983, Smith, 1983b), that the quantitative and interpretive perspectives are irreconcilable; that claims of their complementary characteristics are unfounded; and that blending the two approaches will result in equivocal conclusions. This is a nontrivial battle, because it challenges the very foundations of the research enterprise, and particularly any given empirical study. But we are inclined to leave the battle to others, for several reasons. First, we continue to need working canons and procedures to judge the validity and usefulness of research in progress. Second, no one reasonably expects the dispute to be settled in any satisfactory way because it has come to rest on crystallized stances, each with its faithful, eager pack of recently-socialized disciples. Finally, if one looks carefully at the research actually conducted in the name of one or another epistemology, it seems that few working researchers are not blending the two perspectives.

Analisis data kualitatif : buku sumber tentang metode - metode baru

Abstract: Buku ini penting bagi para peneliti sarjana dan mahasiswa yang ingin memperoleh kesimpulan kesimpulan yang tidak samar samar dan meragukan tetapi yang beralasan kuat serta sahih

Using thematic analysis in psychology

Abstract: Thematic analysis is a poorly demarcated, rarely acknowledged, yet widely used qualitative analytic method within psychology. In this paper, we argue that it offers an accessible and theoretically flexible approach to analysing qualitative data. We outline what thematic analysis is, locating it in relation to other qualitative analytic methods that search for themes or patterns, and in relation to different epistemological and ontological positions. We then provide clear guidelines to those wanting to start thematic analysis, or conduct it in a more deliberate and rigorous way, and consider potential pitfalls in conducting thematic analysis. Finally, we outline the disadvantages and advantages of thematic analysis. We conclude by advocating thematic analysis as a useful and flexible method for qualitative research in and beyond psychology.

Three Approaches to Qualitative Content Analysis

Abstract: Content analysis is a widely used qualitative research technique. Rather than being a single method, current applications of content analysis show three distinct approaches: conventional, directed, or summative. All three approaches are used to interpret meaning from the content of text data and, hence, adhere to the naturalistic paradigm. The major differences among the approaches are coding schemes, origins of codes, and threats to trustworthiness. In conventional content analysis, coding categories are derived directly from the text data. With a directed approach, analysis starts with a theory or relevant research findings as guidance for initial codes. A summative content analysis involves counting and comparisons, usually of keywords or content, followed by the interpretation of the underlying context. The authors delineate analytic procedures specific to each approach and techniques addressing trustworthiness with hypothetical examples drawn from the area of end-of-life care.

The New Meaning of Educational Change

Abstract: Part I Understanding Educational Change 1. A Brief History of Educational Change 2. Sources of Educational Change 3. The Meaning of Educational Change 4. The Causes and Problems of Initiation 5. The Causes and Problems of Implementation and Continuation 6. Planning Doing and Coping with Change Part II Educational Change at the Local Level 7. The Teacher 8. The Principal 9. The Student 10. The District Administrator 11. The Consultant 12. The Parent and the Community Part III Educational Change at Regional and National Levels 13. Governments 14. Professional Preparation of Teachers 15. Professional Development of Educators 16. The Future of Educational Change

Strategies for ensuring trustworthiness in qualitative research projects

Abstract: Although many critics are reluctant to accept the trustworthiness of qualitative research, frameworks for ensuring rigour in this form of work have been in existence for many years. Guba’s constructs, in particular, have won considerable favour and form the focus of this paper. Here researchers seek to satisfy four criteria. In addressing credibility, investigators attempt to demonstrate that a true picture of the phenomenon under scrutiny is being presented. To allow transferability, they provide sufficient detail of the context of the fieldwork for a reader to be able to decide whether the prevailing environment is similar to another situation with which he or she is familiar and whether the findings can justifiably be applied to the other setting. The meeting of the dependability criterion is difficult in qualitative work, although researchers should at least strive to enable a future investigator to repeat the study. Finally, to achieve confirmability, researchers must take steps to demonstrate that findings emerge from the data and not their own predispositions. The paper concludes by suggesting that it is the responsibility of research methods teachers to ensure that this or a comparable model for ensuring trustworthiness is followed by students undertaking a qualitative inquiry.

Qualitative data analysis

Abstract: Good qualitative research uses a systematic and rigorous approach that aims to answer questions concerned with what something is like (such as a patient experience), what people think or feel about something that has happened, and it may address why something has happened as it has. Qualitative data often takes the form of words or text and can include images. Qualitative research covers a very broad range of philosophical underpinnings and methodological approaches. Each has its own particular way of approaching all stages of the research process, including analysis, and has its own terms and techniques, but there are some common threads that run across most of these approaches. This Research Made Simple piece will focus on some of these common threads in the analysis of qualitative research. So you have collected all your qualitative data – you may have a pile of interview transcripts, field-notes, documents and …