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    Qualitative data analysis : a methods sourcebook / Matthew B. Miles, A. Michael Huberman, Johnny Saldaña.

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    • Title:Qualitative data analysis : a methods sourcebook / Matthew B. Miles, A. Michael Huberman, Johnny Saldaña.
    •    
    • Author/Creator:Miles, Matthew B., author.
    • Other Contributors/Collections:Huberman, A. M., author.
      Saldaña, Johnny, author.
    • Published/Created:Los Angeles : SAGE, [2020]

    • Holdings

      Holdings Record Display

       
    • Library of Congress Subjects:Social sciences--Research.
      Education--Research.
    • Medical Subjects: Data Collection.
      Social Sciences.
      Research Design.
      Data Interpretation, Statistical.
    • Genre/Form:Handbooks and manuals.
    • Edition:Fourth edition.
    • Description:xxi, 380 pages : illustrations ; 28 cm
    • Summary:Miles, Huberman, and Saldaña's Qualitative Data Analysis: A Methods Sourcebook is the authoritative text for analyzing and displaying qualitative research data. The Fourth Edition maintains the analytic rigor of previous editions while showcasing a variety of new visual display models for qualitative inquiry. Graphics are added to the now-classic matrix and network illustrations of the original co-authors. Five chapters have been substantially revised, and the appendix's annotated bibliography includes new titles in research methods. Graduate students and established scholars from all disciplines will find this resource an innovative compendium of ideas for the representation and presentation of qualitative data. As the authors demonstrate, when researcheres "think display," their analyses of social life capture the complex and vivid processes of the people and institutions studied. -- From back cover.
    • Notes:Includes bibliographical references and index.
    • ISBN:9781506353074 paperback alkaline paper
      150635307X paperback alkaline paper
      9781544371856 paperback international student edition
      1544371853 paperback international student edition
    • Contents:Machine generated contents note: Note on This Revision
      ch. 1 Introduction
      Purpose of This Book
      Nature of This Book
      Audiences
      Our Orientation
      Approach to Qualitative Data Analysis
      Analytic Methods: Some Common Features
      Nature of Qualitative Data
      General Nature
      Strengths of Qualitative Data
      Our View of Qualitative Data Analysis
      Data Condensation
      Data Display
      Drawing and Verifying Conclusions
      Suggestions for Readers
      Students and Other Novice Researchers
      Experienced Researchers
      Teachers of Qualitative Research Methods Courses
      Closure and Transition
      ch. 2 Research Design and Data Management
      Introduction
      Loose Versus Tight Research Designs
      Displaying the Conceptual Framework
      Description and Rationale
      Example
      Other Examples
      Conceptual Framework Advice
      Methodologies (Genres) of Qualitative Research
      Formulating Research Questions
      Description and Rationale
      Example
      Research Question Advice
      Defining the Case
      Description and Rationale
      Examples
      Case Advice
      Sampling: Bounding the Collection of Data
      Description and Rationale
      Key Features of Qualitative Sampling
      General Sampling Strategies
      Within-Case Sampling
      Multiple-Case Sampling
      Sampling Advice
      Instrumentation
      Description and Rationale
      Example
      Instrumentation Advice
      Linking Qualitative and Quantitative Data
      Approaches to Mixed Methods Designs
      Examples
      Mixed Methods Advice
      Data Management Issues Bearing on Analysis
      Data Management
      Computer and Software Use
      CAQDAS
      Staffing and Time Planning
      Closure and Transition
      ch. 3 Ethical Issues in Analysis
      Introduction
      Agreements With Study Participants
      Agreement Advice
      Ethical Issues
      Worthiness of the Project
      Competence
      Informed Consent
      Benefits, Costs, and Reciprocity
      Harm and Risk
      Honesty and Trust
      Privacy, Confidentiality, and Anonymity
      Intervention and Advocacy
      Research Integrity and Quality
      Ownership of Data and Conclusions
      Use and Misuse of Results
      Ethical Conflicts and Dilemmas
      Ethics Advice
      Closure and Transition
      ch. 4 Fundamentals of Qualitative Data Analysis
      Introduction
      First Cycle Codes and Coding
      Description
      Rationale
      First Cycle Coding Examples
      Descriptive Coding
      In Vivo Coding
      Process Coding
      Concept Coding
      Emotion Coding
      Values Coding
      Evaluation Coding
      Dramaturgical Coding
      Holistic Coding
      Provisional Coding
      Hypothesis Coding
      Protocol Coding
      Causation Coding
      Attribute Coding
      Magnitude Coding
      Subcoding
      Simultaneous Coding
      Themeing the Data
      Coding Craft and Design
      Levels of Coding Detail
      Priori Codes
      Revising Codes
      Structure and Unity in Code Lists
      Definitions of Codes
      Second Cycle Coding-Pattern Codes
      Description
      Applications
      Examples
      From Codes to Patterns
      Narrative Description
      Matrix Display
      Network Display
      Graphic Display
      Coding Advice
      Jottings
      Analytic Memoing
      Description and Rationale
      Examples
      Memoing Advice
      On Visual Data
      Hypotheses, Assertions, and Propositions
      Within-Case and Cross-Case Analysis
      Purposes of Cross-Case Analysis
      Key Distinction: Variables Versus Cases
      Strategies for Cross-Case Analysis
      Closure and Transition
      ch. 5 Designing Matrix, Network, and Graphic Displays
      Introduction
      Display Format Options
      Matrices
      Networks
      Graphics
      Timing of Display Design
      Entering Matrix, Network, and Graphic Data
      Making Inferences and Drawing Conclusions From Matrix, Network, and Graphic Displays
      Methods Profiles
      Closure and Transition
      ch. 6 Methods of Exploring
      Introduction
      Exploring Field Work in Progress
      Data Accounting Log
      Contact Summary Form
      Case Analysis Meeting
      Interim Case Summary
      Partially Ordered Meta-Matrix
      Exploring Variables
      Code Frequency Table
      Checklist Matrix
      Content-Analytic Summary Table
      Contrast Table
      Two-Variable Case-Ordered Matrix
      Exploring Reports in Progress
      Prestructured Case
      Sequential Analyses
      Closure and Transition
      ch. 7 Methods of Describing
      Introduction
      Describing Participants
      Demographics and Attributes Table
      Rote-Ordered Matrix
      Context Chart
      Positionality Graphic
      Describing Variability
      Concept Table
      Conceptually Clustered Matrix
      Folk Taxonomy
      Thematic Array
      Describing Action
      Vignettes
      Poetic Display
      Cognitive Networks
      Closure and Transition
      ch. 8 Methods of Ordering
      Introduction
      Ordering by Time
      Qualitative Timeline
      Event Listing Matrix
      Growth Gradient
      Time-Ordered Matrix
      Ordering Processes
      Decision Modeling
      Process Mapping
      Event-State Network
      Composite Sequence Analysis
      Ordering by Cases
      Case-Process Comparison
      Case-Ordered Descriptive Meta-Matrix
      Closure and Transition
      ch. 9 Methods of Explaining
      Introduction
      Antecedent Conditions, Mediating Variables, and Outcomes
      On Explanation and Causation
      Explaining Interrelationship
      Variable-by-Variable Matrix
      Explaining Change
      Explanatory Matrix
      Outcomes Matrix
      Case Dynamics Matrix
      Explaining Causation
      Causal Chains
      Causal Network: Within-Case Analysis
      Causal Network: Cross-Case Analysis
      Closure and Transition
      ch. 10 Methods of Predicting
      Introduction
      Methods of Predicting
      Making and Testing Predictions
      Predictor-Outcome-Consequences Matrix
      Causal-Prediction Model
      Closure and Transition
      ch. 11 Drawing and Verifying Conclusions
      Introduction
      Tactics for Generating Meaning
      1. Noting Patterns, Themes
      2. Seeing Plausibility
      3. Clustering
      4. Making Metaphors
      5. Counting
      6. Making Contrasts, Comparisons
      7. Partitioning Variables
      8. Subsuming Particulars Into the General
      9. Factoring
      10. Noting the Relations Between Variables
      11. Finding Mediating Variables
      12. Building a Logical Chain of Evidence
      13. Making Conceptual/Theoretical Coherence
      Tactics for Testing or Confirming Findings
      1. Checking for Representativeness
      2. Checking for Researcher Effects
      3. Triangulating
      4. Weighting the Evidence
      5. Checking the Meaning of Outliers
      6. Using Extreme Cases
      7. Following Up Surprises
      8. Looking for Negative Evidence
      9. Making If-Then Tests
      10. Ruling Out Spurious Relations
      11. Replicating a Finding
      12. Checking Out Rival Explanations
      13. Getting Feedback From Participants
      Standards for the Quality of Conclusions
      Objectivity/Confirmability
      Reliability/Dependability/Auditability
      Internal Validity/Credibility/Authenticity
      External Validity/Transferability/Fittingness
      Utilization/Application/Action Orientation
      Analytic Documentation
      Problem
      Examples
      Closure and Transition
      ch. 12 Writing About Qualitative Research
      Introduction
      Audiences and Effects
      Reader and the Writer
      Types of Effects
      Voices and Styles
      Writing Examples and Recommendations
      Writing the Abstract
      Writing About Methodology and Methods
      "Being There"
      Analytic Storytelling With Displays
      Traditional Presentation Modes
      Progressive Presentation Modes
      On Theses and Dissertations
      Support and Supervision
      Writing Fundamentals
      Closure and Transition
      ch. 13 Closure
      Qualitative Analysis at a Glance
      Reflections
      Final Advice.
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