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An edition of Qualitative Data Analysis (2013)

Qualitative Data Analysis - International Student Edition

A Methods Sourcebook

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Cover of: Qualitative Data Analysis - International Student Edition by Matthew B. Miles, A. Michael Huberman, Johnny Saldana, Johnny M. Saldana, Matthew B. Miles, A. Michael Huberman, Johnny M. Saldana
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Last edited by Drini
June 1, 2026 | History
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An edition of Qualitative Data Analysis (2013)

Qualitative Data Analysis - International Student Edition

A Methods Sourcebook

by , , , and

  • 5.0 (1 rating)
  • 63 Want to read
  • 1 Currently reading
  • 3 Have read

The Third Edition of Miles & Huberman's classic research methods text is updated and streamlined by Johnny Salda a, 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...

Publish Date
Publisher
SAGE Publications, Incorporated
Language
English
Pages
408

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Subjects

Social sciences, research Education, research Social sciences Research Education Research Design Data Collection Statistical Data Interpretation Empirische Sozialforschung Qualitative Methode Datenauswertung Qualitative Daten Datenanalyse Samhällsvetenskaplig forskning Pedagogisk forskning Ciencias sociales Investigación Educación Metodología Data interpretation, statistical Social sciences--research Education--research H62 .m437 2014 Wa 950 m643q 2014 001.4/2
Edition Availability
Cover of: Qualitative Data Analysis
Qualitative Data Analysis: A Methods Sourcebook
Jan 22, 2019, SAGE Publications, Inc
paperback in English
Cover of: Qualitative Data Analysis - International Student Edition
Qualitative Data Analysis - International Student Edition: A Methods Sourcebook
2019, SAGE Publications, Incorporated
in English
Cover of: Qualitative data analysis
Qualitative data analysis: a methods sourcebook
2014, SAGE Publications, Inc., SAGE Publications, Inc
in English - Third edition.
Cover of: Qualitative Data Analysis
Qualitative Data Analysis: A Methods Sourcebook
2013, SAGE Publications, Incorporated
in English

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Book Details

Table of Contents

List of Displays
Page xiii
Preface to the Fourth Edition
Page xvii
A Note on This Revision
Page xvii
Acknowledgments
Page xix
About the Authors
Page xxi
Part I. The Substantive Start
Chapter 1. Introduction
Page 3
The Purpose of This Book
Page 3
The Nature of This Book
Page 4
Audiences
Page 4
Our Orientation
Page 5
An Approach to Qualitative Data Analysis
Page 6
Analytic Methods: Some Common Features
Page 6
The Nature of Qualitative Data
Page 7
General Nature
Page 7
Strengths of Qualitative Data
Page 7
Our View of Qualitative Data Analysis
Data Condensation
Page 8
Data Display
Page 9
Drawing and Verifying Conclusions
Page 9
Suggestions for Readers
Page 10
Students and Other Novice Researchers
Page 11
Experienced Researchers
Page 11
Teachers of Qualitative Research Methods Courses
Page 12
Closure and Transition
Page 12
Chapter 2. Research Design and Data Management
Page 13
Introduction
Page 14
Loose Versus Tight Research Designs
Page 14
Displaying the Conceptual Framework
Page 15
Description and Rationale
Page 15
Example
Page 15
Other Examples
Page 18
Conceptual Framework Advice
Page 20
Methodologies (Genres) of Qualitative Research
Page 20
Formulating Research Questions
Page 22
Description and Rationale
Page 22
Example
Page 22
Research Question Advice
Page 24
Defining the Case
Page 24
Description and Rationale
Page 24
Examples
Page 24
Case Advice
Page 26
Sampling: Bounding the Collection of Data
Page 26
Description and Rationale
Page 26
Key Features of Qualitative Sampling
Page 27
General Sampling Strategies
Page 27
Within-Case Sampling
Page 28
Multiple-Case Sampling
Page 29
Sampling Advice
Page 30
Instrumentation
Page 30
Description and Rationale
Page 30
Example
Page 33
Instrumentation Advice
Page 34
Linking Qualitative and Quantitative Data
Page 35
Approaches to Mixed Methods Designs
Page 35
Examples
Page 36
Mixed Methods Advice
Page 39
Data Management Issues Bearing on Analysis
Page 39
Data Management
Page 39
Computer and Software Use
Page 40
CAQDAS
Page 41
Staffing and Time Planning
Page 46
Closure and Transition
Page 47
Chapter 3. Ethical Issues in Analysis
Page 49
Introduction
Page 49
Agreements With Study Participants
Page 50
Agreement Advice
Page 51
Ethical Issues
Page 53
Worthiness of the Project
Page 53
Competence
Page 53
Informed Consent
Page 53
Benefits, Costs, and Reciprocity
Page 54
Harm and Risk
Page 55
Honesty and Trust
Page 55
Privacy, Confidentiality, and Anonymity
Page 56
Intervention and Advocacy
Page 57
Research Integrity and Quality
Page 57
Ownership of Data and Conclusions
Page 58
Use and Misuse of Results
Page 59
Ethical Conflicts and Dilemmas
Page 59
Ethics Advice
Page 60
Closure and Transition
Page 60
Chapter 4. Fundamentals of Qualitative Data Analysis
Page 61
Introduction
Page 62
First Cycle Codes and Coding
Page 62
Description
Page 62
Rationale
Page 64
First Cycle Coding Examples
Page 64
Descriptive Coding
Page 65
In Vivo Coding
Page 65
Process Coding
Page 66
Concept Coding
Page 66
Emotion Coding
Page 67
Values Coding
Page 67
Evaluation Coding
Page 68
Dramaturgical Coding
Page 68
Holistic Coding
Page 69
Provisional Coding
Page 69
Hypothesis Coding
Page 70
Protocol Coding
Page 70
Causation Coding
Page 70
Attribute Coding
Page 71
Magnitude Coding
Page 71
Subcoding
Page 72
Simultaneous Coding
Page 72
Themeing the Data
Page 73
Coding Craft and Design
Page 74
Levels of Coding Detail
Page 74
A Priori Codes
Page 74
Revising Codes
Page 75
Structure and Unity in Code Lists
Page 75
Definitions of Codes
Page 77
Second Cycle Coding—Pattern Codes
Page 79
Description
Page 79
Applications
Page 79
Examples
Page 80
From Codes to Patterns
Page 82
Narrative Description
Page 83
Matrix Display
Page 83
Network Display
Page 84
Graphic Display
Page 85
Coding Advice
Page 86
Jottings
Page 86
Analytic Memoing
Page 88
Description and Rationale
Page 88
Examples
Page 89
Memoing Advice
Page 90
On Visual Data
Page 91
Hypotheses, Assertions, and Propositions
Page 93
Within-Case and Cross-Case Analysis
Page 95
Purposes of Cross-Case Analysis
Page 95
A Key Distinction: Variables Versus Cases
Page 95
Strategies for Cross-Case Analysis
Page 96
Closure and Transition
Page 99
Part II. Displaying the Data
Chapter 5. Designing Matrix, Network, and Graphic Displays
Page 103
Introduction
Page 103
Display Format Options
Page 104
Matrices
Page 105
Networks
Page 109
Graphics
Page 110
Timing of Display Design
Page 115
Entering Matrix, Network, and Graphic Data
Page 116
Making Inferences and Drawing Conclusions From Matrix, Network, and Graphic Displays
Page 116
The Methods Profiles
Page 118
Closure and Transition
Page 118
Chapter 6. Methods of Exploring
Page 119
Introduction
Page 119
Exploring Field Work in Progress
Page 120
Data Accounting Log
Page 120
Contact Summary Form
Page 122
Case Analysis Meeting
Page 125
Interim Case Summary
Page 128
Partially Ordered Meta-Matrix
Page 131
Exploring Variables
Page 135
Code Frequency Table
Page 135
Checklist Matrix
Page 137
Content-Analytic Summary Table
Page 142
Contrast Table
Page 144
Two-Variable Case-Ordered Matrix
Page 146
Exploring Reports in Progress
Page 148
Prestructured Case
Page 148
Sequential Analyses
Page 151
Closure and Transition
Page 153
Chapter 7. Methods of Describing
Page 155
Introduction
Page 155
Describing Participants
Page 156
Demographics and Attributes Table
Page 156
Role-Ordered Matrix
Page 157
Context Chart
Page 161
Positionality Graphic
Page 164
Describing Variability
Page 166
Concept Table
Page 166
Conceptually Clustered Matrix
Page 168
Folk Taxonomy
Page 173
Thematic Array
Page 176
Describing Action
Page 180
Vignettes
Page 180
Poetic Display
Page 183
Cognitive Networks
Page 185
Closure and Transition
Page 188
Chapter 8. Methods of Ordering
Page 189
Introduction
Page 189
Ordering by Time
Page 190
Qualitative Timeline
Page 190
Event Listing Matrix
Page 192
Growth Gradient
Page 195
Time-Ordered Matrix
Page 198
Ordering Processes
Page 202
Decision Modeling
Page 202
Process Mapping
Page 204
Event-State Network
Page 207
Composite Sequence Analysis
Page 209
Ordering by Cases
Page 212
Case-Process Comparison
Page 212
Case-Ordered Descriptive Meta-Matrix
Page 215
Closure and Transition
Page 220
Chapter 9. Methods of Explaining
Page 221
Introduction
Page 221
Antecedent Conditions, Mediating Variables, and Outcomes
Page 222
On Explanation and Causation
Page 224
Explaining Interrelationship
Page 225
Variable-by-Variable Matrix
Page 225
Explaining Change
Page 230
Explanatory Matrix
Page 230
Outcomes Matrix
Page 232
Case Dynamics Matrix
Page 234
Explaining Causation
Page 237
Causal Chains
Page 237
Causal Network: Within-Case Analysis
Page 238
Causal Network: Cross-Case Analysis
Page 248
Closure and Transition
Page 254
Chapter 10. Methods of Predicting
Page 255
Introduction
Page 255
Methods of Predicting
Page 256
Making and Testing Predictions
Page 256
Predictor-Outcome-Consequences Matrix
Page 261
Causal-Prediction Model
Page 265
Closure and Transition
Page 270
Part III. Making Good Sense
Chapter 11. Drawing and Verifying Conclusions
Page 273
Introduction
Page 274
Tactics for Generating Meaning
Page 274
1. Noting Patterns, Themes
Page 274
2. Seeing Plausibility
Page 275
3. Clustering
Page 276
4. Making Metaphors
Page 277
5. Counting
Page 279
6. Making Contrasts, Comparisons
Page 280
7. Partitioning Variables
Page 281
8. Subsuming Particulars Into the General
Page 281
9. Factoring
Page 282
10. Noting the Relations Between Variables
Page 283
11. Finding Mediating Variables
Page 285
12. Building a Logical Chain of Evidence
Page 286
13. Making Conceptual/Theoretical Coherence
Page 287
Tactics for Testing or Confirming Findings
Page 289
1. Checking for Representativeness
Page 290
2. Checking for Researcher Effects
Page 291
3. Triangulating
Page 293
4. Weighting the Evidence
Page 294
5. Checking the Meaning of Outliers
Page 296
6. Using Extreme Cases
Page 297
7. Following Up Surprises
Page 297
8. Looking for Negative Evidence
Page 298
9. Making If-Then Tests
Page 298
10. Ruling Out Spurious Relations
Page 299
11. Replicating a Finding
Page 301
12. Checking Out Rival Explanations
Page 302
13. Getting Feedback From Participants
Page 303
Standards for the Quality of Conclusions
Page 304
Objectivity/Confirmability
Page 305
Reliability/Dependability/Auditability
Page 305
Internal Validity/Credibility/Authenticity
Page 306
External Validity/Transferability/Fittingness
Page 307
Utilization/Application/Action Orientation
Page 308
Analytic Documentation
Page 308
The Problem
Page 308
Examples
Page 310
Closure and Transition
Page 314
Chapter 12. Writing About Qualitative Research
Page 315
Introduction
Page 315
Audiences and Effects
Page 316
The Reader and the Writer
Page 316
Types of Effects
Page 317
Voices and Styles
Page 318
Writing Examples and Recommendations
Page 319
Writing the Abstract
Page 319
Writing About Methodology and Methods
Page 321
"Being There"
Page 322
Analytic Storytelling With Displays
Page 324
Traditional Presentation Modes
Page 326
Progressive Presentation Modes
Page 327
On Theses and Dissertations
Page 328
Support and Supervision
Page 328
Writing Fundamentals
Page 329
Closure and Transition
Page 330
Chapter 13. Closure
Page 331
Qualitative Analysis at a Glance
Page 331
Reflections
Page 333
Final Advice
Page 334
Appendix: An Annotated Bibliography of Qualitative Research Methods Resources
Page 337
References
Page 353
Index
Page 365

Classifications

Library of Congress
H62.M437 2020

The Physical Object

Pagination
xxi, 380
Number of pages
408

Edition Identifiers

Open Library
OL34572722M
ISBN 13
9781544371856

Work Identifiers

Work ID
OL20162005W

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