Qualitative Data Analysis A Methods Sourcebook 4th Edition by Matthew Miles, Michael Huberman, Johnny Saldana – Ebook PDF Instant Download/Delivery: 150635307X , 978-1506353074
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ISBN 10: 150635307X
ISBN 13: 978-1506353074
Author: Matthew Miles, Michael Huberman, Johnny Saldana
“This comprehensive, practical, user-friendly book provides a wealth of data analysis strategies that are essential for any qualitative research. It is a must-have tool book for moving from data analysis to writing for publication!”
–Guofang Li, University of British Columbia, Canada
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 researchers “think display,” their analyses of social life capture the complex and vivid processes of the people and institutions studied.
Qualitative Data Analysis A Methods Sourcebook 4th Table of contents:
PART I • The Substantive Start
Chapter 1 • Introduction
The Purpose of This Book
The Nature of This Book
Audiences
Our Orientation
An Approach to Qualitative Data Analysis
Analytic Methods: Some Common Features
The 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
Chapter 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
Chapter 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
Chapter 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
A 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
A Key Distinction: Variables Versus Cases
Strategies for Cross-Case Analysis
Closure and Transition
PART II • Displaying the Data
Chapter 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
The Methods Profiles
Closure and Transition
Chapter 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
Chapter 7 • Methods of Describing
Introduction
Describing Participants
Demographics and Attributes Table
Role-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
Chapter 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
Chapter 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
Chapter 10 • Methods of Predicting
Introduction
Methods of Predicting
Making and Testing Predictions
Predictor–Outcome–Consequences Matrix
Causal–Prediction Model
Closure and Transition
PART III • Making Good Sense
Chapter 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
The Problem
Examples
Closure and Transition
Chapter 12 • Writing About Qualitative Research
Introduction
Audiences and Effects
The 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
Chapter 13 • Closure
Qualitative Analysis at a Glance
Reflections
Final Advice
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Tags: Matthew Miles, Michael Huberman, Johnny Saldana, Qualitative Data, Methods Sourcebook