Qualitative Data Analysis

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The Experts below are selected from a list of 912309 Experts worldwide ranked by ideXlab platform

Kristin Yeager - One of the best experts on this subject based on the ideXlab platform.

Julia Bailey - One of the best experts on this subject based on the ideXlab platform.

  • First steps in Qualitative Data Analysis: Transcribing
    Family Practice, 2008
    Co-Authors: Julia Bailey
    Abstract:

    Qualitative research in primary care deepens understanding of phenomena such as health, illness and health care encounters. Many Qualitative studies collect audio or video Data (e.g. recordings of interviews, focus groups or talk in consultation), and these are usually transcribed into written form for closer study. Transcribing appears to be a straightforward technical task, but in fact involves judgements about what level of detail to choose (e.g. omitting non-verbal dimensions of interaction), Data interpretation (e.g. distinguishing ‘I don't, no’ from ‘I don't know’) and Data representation (e.g. representing the verbalization ‘hwarryuhh’ as ‘How are you?’). Representation of audible and visual Data into written form is an interpretive process which is therefore the first step in analysing Data. Different levels of detail and different representations of Data will be required for projects with differing aims and methodological approaches. This article is a guide to practical and theoretical considerations for researchers new to Qualitative Data Analysis. Data examples are given to illustrate decisions to be made when transcribing or assigning the task to others.

Gunther Gediga - One of the best experts on this subject based on the ideXlab platform.

  • approximation operators in Qualitative Data Analysis
    Lecture Notes in Computer Science, 2003
    Co-Authors: Ivo Duntsch, Gunther Gediga
    Abstract:

    A large part of Qualitative Data Analysis is concerned with approximations of sets on the basis of relational information. In this paper, we present various forms of set approximations via the unifying concept of modal–style operators. Two examples indicate the usefulness of the approach.

  • modal style operators in Qualitative Data Analysis
    International Conference on Data Mining, 2002
    Co-Authors: N Duntsch, Gunther Gediga
    Abstract:

    We explore the usage of the modal possibility operator (and its dual necessity operator) in Qualitative Data Analysis, and show that it-quite literally-complements the derivation operator of formal concept Analysis; we also propose a new generalization of the rough set approximation operators. As an example for the applicability of the concepts we investigate the Morse Data set which has been frequently studied in multidimensional scaling procedures.

  • ICDM - Modal-style operators in Qualitative Data Analysis
    2002 IEEE International Conference on Data Mining 2002. Proceedings., 1
    Co-Authors: N Duntsch, Gunther Gediga
    Abstract:

    We explore the usage of the modal possibility operator (and its dual necessity operator) in Qualitative Data Analysis, and show that it-quite literally-complements the derivation operator of formal concept Analysis; we also propose a new generalization of the rough set approximation operators. As an example for the applicability of the concepts we investigate the Morse Data set which has been frequently studied in multidimensional scaling procedures.

Dave Fearon - One of the best experts on this subject based on the ideXlab platform.

Johnny Saldaña - One of the best experts on this subject based on the ideXlab platform.

  • Qualitative Data Analysis Strategies
    The Oxford Handbook of Qualitative Research, 2020
    Co-Authors: Johnny Saldaña
    Abstract:

    This chapter provides an overview of selected Qualitative Data Analysis strategies with a particular focus on codes and coding. Preparatory strategies for a Qualitative research study and Data management are first outlined. Six coding methods are then profiled using comparable interview Data: process coding, in vivo coding, descriptive coding, values coding, dramaturgical coding, and versus coding. Strategies for constructing themes and assertions from the Data follow. Analytic memo writing is woven throughout as a method for generating additional analytic insight. Next, display and arts-based strategies are provided, followed by recommended Qualitative Data analytic software programs and a discussion on verifying the researcher’s analytic findings.

  • Teaching Qualitative Data Analysis Through Gaming
    Qualitative Inquiry, 2018
    Co-Authors: Leo A. Mallette, Johnny Saldaña
    Abstract:

    The purpose of this article is to describe the use of a party game, adapted by the two authors, to teach Qualitative Data Analysis in consulting and classroom settings. The value of this exercise l...

  • Qualitative Data Analysis: A Methods Sourcebook
    1994
    Co-Authors: Matthew B. Miles, A. Huberman, Johnny Saldaña
    Abstract:

    Contents List of Displays Preface to the Third Edition by Johnny Saldana Acknowledgements from the Second Edition by Matthew B. Miles and A. Michael Huberman About the Authors PART I. THE SUBSTANTIVE START 1. Introduction 2. Research Design and Management 3. Ethical Issues in Analysis 4. Fundamentals of Qualitative Data Analysis PART II. DISPLAYING THE Data 5. Designing Matrix and Network Displays 6. Methods of Exploring 7. Methods of Describing 8. Methods of Ordering 9. Methods of Explaining 10. Methods of Predicting PART III: MAKING GOOD SENSE 11. Drawing and Verifying Conclusions 12. Writing About Qualitative Research 13. Closure Appendix - An Annotated Bibliography of Qualitative Research Resources References Index