Qualitative data analysis: an expanded sourcebook
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Thousand Oaks, Calif. [u.a.]
Sage
1994
|
| Ausgabe: | 2. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIV, 338 S. graph. Darst. |
| ISBN: | 0803946538 0803955405 |
Internformat
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| 100 | 1 | |a Miles, Matthew B. |d 1926-1996 |e Verfasser |0 (DE-588)137989172 |4 aut | |
| 245 | 1 | 0 | |a Qualitative data analysis |b an expanded sourcebook |c Matthew B. Miles ; A. Michael Huberman |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a Thousand Oaks, Calif. [u.a.] |b Sage |c 1994 | |
| 300 | |a XIV, 338 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
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| 650 | 4 | |a Sciences sociales - Recherche | |
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| 650 | 4 | |a Data Collection | |
| 650 | 4 | |a Data Interpretation, Statistical | |
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Datensatz im Suchindex
| _version_ | 1804123901373972480 |
|---|---|
| adam_text | Conte
List of Figures, Tables, and Boxes viii
Acknowledgments xn
1. Introduction
A. The General Problem
B. The Nature of This Book ^
Audiences
Approach .
C. Our Orientation
D. Varieties of Qualitative Research
Recurring Features of Qualitative Research 5
Three Approaches to Qualitative Data
Analysis
Analytic Methods: Some Common
Features „
E. The Nature of Qualitative Data ^
General Nature
Some Underlying Issues
Strengths of Qualitative Data
F. Our View of Qualitative Analysis ^
Data Reduction
Data Display
Conclusion Drawing and Verification ^
G. Using This Book
Overview
MltS
Format of Specific Methods 12
Suggestions for Users 12
2. Focusing and Bounding the Collection
of Data: The Substantive Start 16
Tight Versus Loose: Some Trade offs 16
A. Building a Conceptual Framework 18
B. Formulating Research Questions 22
C. Defining the Case: Bounding the Territory 25
D. Sampling: Bounding the Collection of Data 27
E. Instrumentation 34
Summary Comments 38
3. Focusing and Bounding the Collection
of Data: Further Design Issues 40
A. Linking Qualitative and Quantitative Data 40
Rationale 40
Brief Description 42
Illustrations 42
Advice 43
B. Management Issues Bearing on Analysis 43
Computer Use 43
Data Management 45
Staffing and Time Planning 46
Agreements With Study Participants 47
Summary Comments 48
4. Early Steps in Analysis 50
Our Assumptions About Data 51
A. Contact Summary Sheet 51
Document Summary Form 54
B. Codes and Coding 55
Reflective Remarks 66
Marginal Remarks 66
C. Pattern Coding 69
D. Memoing 72
Developing Propositions 75
E. Case Analysis Meeting 76
F. Interim Case Summary 77
Data Accounting Sheet 80
G. Vignettes 81
H. Prestructured Case 83
I. Sequential Analyses 85
Summary Comments 88
5. Within Case Displays: Exploring
and Describing 90
Describing and Explaining 90
A. How Data Displays Work 91
B. Partially Ordered Displays 102
Context Chart 102
Checklist Matrix 105
The Transcript as Poem 110
C. Time Ordered Displays 110
Event Listing 110
Critical Incident Chart 115
Event State Network 115
Activity Record 117
Decision Modeling 117
Growth Gradient 118
Time Ordered Matrix 119
D. Role Ordered Displays 122
Role Ordered Matrix 122
Role by Time Matrix 126
E. Conceptually Ordered Displays 127
Conceptually Clustered Matrix 127
Thematic Conceptual Matrix 131
Folk Taxonomy 133
Cognitive Maps 134
Effects Matrix 137
Summary Comment 141
6. Within Case Displays: Explaining
and Predicting 143
A. Explanations and Causality 144
What Does It Mean to Explain Something? 144
A Way of Thinking About Causality 145
The Power of Qualitative Causal Analysis 147
B. Explanatory Effects Matrix 148
C. Case Dynamics Matrix 148
D. Causal Network 151
Verifying Causal Networks 163
E. Making and Testing Predictions 165
Summary Comments 170
* 7. Cross Case Displays: Exploring and
Describing 172
A. Cross Case Analysis: Overview 172
Why Do Cross Case Analysis? 173
A Key Distinction: Variables Versus Cases 173
Strategies for Cross Case Analysis 174
B. Partially Ordered Displays 177
Partially Ordered Meta Matttix 177
C. Conceptually Ordered Displays 183
Content Analytic Summary Table 183
Substructing a Variable 184
Construct Table 184
Decision Tree Modeling 185
D. Case Ordered Displays 187
Case Ordered Descriptive Meta Matrix 187
Ordering Cases Through Summed Indices 193
Two Variable Case Ordered Matrix 195
Contrast Table 195
Scatterplot 197
E. Time Ordered Displays 200
Time Ordered Meta Matrix 200
Scatterplots Over Time 203
Composite Sequence Analysis 204
Summary Comments 205
• 8. Cross Case Displays: Ordering and
Explaining 207
A. Explaining Through Comparative Analysis 207
The Main Issue 207
Working Principles 207
B. Case Ordered Effects Matrix 208
C. Case Ordered Predictor Outcome Matrix 213
Predictor Outcome Consequences Matrix 217
D. Variable by Variable Matrix 219
E. Causal Models 222
Causal Chains 227
F. Causal Networks—Cross Case Analysis 228 .
Antecedents Matrix 233
Summary Comments 237
9. Matrix Displays: Some Rules of Thumb 239
A. Building Matrix Displays 240
Matrix Elements 240
Rules of Thumb for Matrix Building 241
B. Entering Matrix Data 241
Rules of Thumb for Data Entry 241
C. Drawing Conclusions From Matrix Data 242
Rules of Thumb for Conclusion Drawing 242
10. Making Good Sense: Drawing and
Verifying Conclusions 245
A. Tactics for Generating Meaning 245
1. Noting Patterns, Themes 246
2. Seeing Plausibility 246
3. Clustering 248
4. Making Metaphors 250
5. Counting 252
6. Making Contrasts/Comparisons 254
7. Partitioning Variables 254
8. Subsuming Particulars Into the General 255
9. Factoring 256
10. Noting Relations Between Variables 257
11. Finding Intervening Variables 258
12. Building a Logical Chain of Evidence 260
13. Making Conceptual/Theoretical Coherence 261
B. Tactics for Testing or Confirming Findings 262
1. Checking for Representativeness 263
2. Checking for Researcher Effects 265
3. Triangulating 266
4. Weighting the Evidence 267
5. Checking the Meaning of Outliers 269
6. Using Extreme Cases 270
7. Following Up Surprises 270
8. Looking for Negative Evidence 271
9. Making If Then Tests 271
10. Ruling Out Spurious Relations 272
11. Replicating a Finding 273
12. Checking Out Rival Explanations 274
13. Getting Feedback From Informants 275
C. Standards for the Quality of Conclusions 277
Objectivity/Confirmability 278
Reliability/Dependability/Auditability 278
Internal Validity/Credibility/Authenticity 278
External Validity/Transferability/Fittingness 279
Utilization/Application/Action Orientation 280
D. Documentation 280
Summary Comments 286
11. Ethical Issues in Analysis 288
Some Framing Remarks 288
Ethical Theories 289
Specific Ethical Issues 290
Conflicts, Dilemmas, and Trade offs 295
Advice 296
Summary Comments 297
12. Producing Reports 298
The General Problem 298
Audiences and Effects 299
Voices, Genres, and Stances 300
Style 301
Formats and Structures 301
Using Reports 304
Summary Comments 306
13. Concluding Remarks 307
Seeing Qualitative Analysis Whole 307
Reflections 309
Advice 310
Appendix: Choosing Computer
Programs for Qualitative Data
Analysis 311
1. Overview and Suggestions for Use 311
2. Software Types and Functions 311
General Types 311
Specific Functions: What to Look For 312
Other Considerations 313
3. How to Choose Software: Key Questions 313
What Kind of Computer User Are You? 313
What Kind of Database and Project Is It? 314
What Kind of Analysis Is Anticipated? 314
4. Program Characteristics 315
5. Program Developers and Distributors 315
6. References 317
References 318
Author Index 331
Subject Index 334
About the Authors 337
List of Figures, T;
Figures
1.1 Qualitative Strategies in Educational Research 6
1.2 Graphic Overview of Qualitative Research Types 7
1.3 Components of Data Analysis: Flow Model 10
1.4 Components of Data Analysis: Interactive Model 12
2.1 Conceptual Framework for a Study of the
Dissemination of Educational Innovations 18
2.2 Second Conceptual Framework for a Study of the
Dissemination of Educational Innovations 19
2.3 Conceptual Framework for a Multicase School
Improvement Field Study, Initial Version 20
2.4 General and Specific Research Questions Relating
to the Adoption Decision (School Improvement
Study) 24
2.5 The Case as the Unit of Analysis 25
2.6 Typology of Sampling Strategies in Qualitative
Inquiry 28
2.7 Prior Instrumentation: Key Decision Factors 36
2.8 Excerpts From Interview Guide, School
Improvement Study 37
3.1 Illustrative Designs Linking Qualitative and
Quantitative Data 41
3.2 Uses of Computer Software in Qualitative Studies 44
3.3 What to Store, Retrieve From, and Retain 46
3.4 The Arithmetic for a Project 47
3.5 Questions for Agreement With Study Participants 48
viii
ables, and Boxes
4.1 Contact Summary Form: Illustration (excerpts) 53
4.2 Contact Summary Form: Illustration With Coded
Themes (excerpt) 54
4.3 Example of Category Card 61
4.4 Illustration of a Poorly Structured List of Codes
(excerpt) 63
4.5 Definitions of Selected Codes From Table 4.1
(excerpt) 64
4.6 A Colleague s Marginal Notes: Excerpt 68
4.7 Mapping of Concepts: Illustration 71
4.8 Interrelation of Pattern Codes 71
4.9 Case Analysis Meeting Form 76
4.10 Case Analysis Form: Exhibit With Data 78
4.11 Summary Aided Approach to Analysis 79
4.12 Interim Case Summary Outline: Illustration 79
4.13 Prestructured Case Outline: Abbreviated Version 84
4.14 Traditional Analysis Sequence Compared With
Prestructured Case 85
4.15 Marginal Notes as a Coding Aid 88
5.1 The Ladder of Analytical Abstraction 92
5.2 Growth Gradient for ECRI Innovation, Masepa
Case 97
5.3 Illustration of Context Chart With Assistance
Flows (Masepa Case) 99
5.4 Interaction Between Display and Analytic Text 101
5.5 Context Chart for Tindale East High School and ^
District
5.6 Cognitive Map: Peter s View of How Restructuring ^
Proceeds
5.7 Descriptive Account for Peter s Map of How ^
Restructuring Proceeds
6.1 Causal Network for Perry Parkdale CARED ^
Program .
6.2 Causal Fragment: Mastery of a New Educational ^
Practice
6 3 List of Antecedent, Mediating, and Outcome
Variables: School Improvement Study
6.4 Excerpt From an Event State Network: ^
Perry Parkdale School
6.5 Excerpt From a Causal Network: ^
Perry Parkdale School
6.6 Narrative for Causal Network:
Perry Parkdale CARED Program
6 7 Factors Supporting Institutionalization Prediction 166
6.8 Factors Working Against Institutionalization ^
Prediction
6 9 Filled Out Response Form From Case Informant
for Institutionalization Prediction j ^
6.10 Prediction Feedback Form, Part I ^
6.11 Prediction Feedback Form, Part II ^
6 12 Nonrecursive Relationship
7.1 Hypothetical Quantitative Data Set: Factors ^ ^
Influencing University Attendance
7.2 Hypothetical Path Analysis:
Factors Influencing University Attendance
7.3 Composite Sequence Analysis: Career Trajectory ^
Data for 11 Cases
7.4 Case Examples: Decisions About the Breakfast ^
Contract by Two Students
7.5 Composite Model 1: The Freshman s Decision
to Buy or Not Buy a Breakfast Contract
7.6 Composite Model 2: The Freshman s Decision
to Buy or Not Buy a Breakfast Contract
7.7 Scatterplot^elationshipofPressureoAdoptand
Degree of Latitude Given to Users at 2 Sites
7.3 (Repeated) Composite Sequence Analysis. Career ^
Trajectory Data for 11 Cases
8.1 SuLaryTable:TypicalConsequencesofCop ng, ^
8.3 Causal Network for Perry Parkdale CARED
Program (immediate causes of job mob.hty ^
8.4 Sutelrk^anableStreamsLeadingtoHigh ^
Job Mobility, Perry Parkdale Case
8.5 Subnetwork for Job Mobility. Cabton Case
8.6 Subnetwork for Job Mobility, BanestownCse
8.7 Subnetwork for Job Mobility, P e^
8.8 Scenario 2: Moderate/High Outcomes From
High Mastery and Low Settledness
List of Figures, Tables, and Boxes ¦ ix
8.9 Scenario 3: Moderate/Low Outcomes From
Program Blunting/Downsizing 236
10.1 Illustration of Clustering, Using Dendrogram
Method 251
10.2 Reasons Given for Adoption by Users 253
10.3 Two Variable Relationship 259
10.4 Two Variable Relationship With Intervening
Variables 259
10.5 Example of a Chain of Evidence Supporting an
Observed Outcome 260
10.6 Possible Explanation of Spurious Relationship 273
10.7 Display for Testing Explanation in Figure 10.6 273
10.8 Code List for Analysis Operations 285
13.1 Overview of Qualitative Data Analysis Processes 308
Tables
2.1 Characteristics of Field Study Sample 32
2.2 Final Sampling Frame for Field Study 33
4.1 Illustration of a Start List of Codes 59
5.1 Event Listing, Banestown Case 94
5.2 Checklist Matrix: Conditions Supporting
Preparedness at Smithson School, Banestown Case 95
5.3 Effects Matrix: Assistance Location and Types
(Masepa Case) 96
5.2 (Repeated) Checklist Matrix: Conditions Supporting
Preparedness at Smithson School, Banestown Case 107
5.4 Checklist Matrix on Preparedness (alternative
format 1) 108
5.5 Checklist Matrix on Preparedness (alternative
format 2) 109
5.6 Checklist Matrix on Preparedness (alternative
format 3) 109
5.1 (Repeated) Event Listing, Banestown Case 112
5.7 Time Ordered Matrix: Changes in the CARED
Innovation (a work experience program) 120
5.8 Summary Table for Verifying and Interpreting
Time Ordered Matrix: Changes in the CARED
Innovation 121
5.9 Role Ordered Matrix: First Reactions to the
Innovation 124
5.10 Role Ordered Matrix: Example of a Next Step
Matrix to Analyze Initial Findings (first reactions
to the innovation) 126
5.11 Conceptually Clustered Matrix: Motives and
Attitudes (format) 128
5.12 Conceptually Clustered Matrix: Motives and
Attitudes of Users, Nonusers, and Administrators
at Masepa 130
5.13 Componential Analysis: Example for Seven Cars
According to Jack 133
5.14 Effects Matrix: Organizational Changes After
Implementation of the ECRI Program 138
5.15 Effects Matrix: Direct, Meta, and Side Effects of
Program (Environmental Studies, Lido High
School) 140
x ¦ QUALITATIVE DATA ANALYSIS
6.1 Case Dynamics Matrix: The IPA Innovation as a
Force for Organizational Change in the District
and Its Schools 150
6.2 Case Dynamics Matrix: Organizational Dilemmas
Posed by ECRI Program 152
7.1 Hypothetical Qualitative Data Set for a Case:
Influence Actions and Responses, Case #005,
Nynke van der Molen 175
7.2 Case Level Display for Partially Ordered Meta
Matrix (format) 178
7.3 Case Level Display for Partially Ordered Meta
Matrix: Users Second Year of Implementation
at Lido 179
7.4 Partially Ordered Meta Matrix: User Feelings/
Concerns and Other Variables (format) 179
7.5 Partially Ordered Meta Matrix: User Feelings/
Concerns and Other Variables (Lido data) 180
7.6 Time Ordered Meta Matrix (format) 180
7.7 Summary Table: Individual and Institutional
Concerns During Later Implementation 181
7.8 Clustered Summary Table: Problems Stemming
From Major Tasks of Later Implementation at
Field Sites 182
7.9 Content Analytic Summary Table: The Content of
Organization Changes 183
7.10 Construct Table: Example of Tabulated Evidence
for a Power Centralization Construct 185
7.11 Case Ordered Meta Matrix: Format for Student
Impact Data (version 1) 189
7.12 Case Ordered Meta Matrix: Format for Student
Impact Data (version 2) 189
7.13 Case Ordered Descriptive Meta Matrix (excerpt):
Program Objectives and Student Impact (direct,
meta level, and side effects) 191
7.14 Case Ordered Descriptive Meta Matrix, Next
Step Version (excerpt): Program Objectives and
Student Impact 192
7.15 Time Ordered Meta Matrix (preliminary format) 200
7.16 Time Ordered Meta Matrix: Job Mobility at Sites 201
8.1 Case Ordered Effects Matrix (preliminary format) 209
8.2 Case Ordered Effects Matrix (version 2 of format) 209
8.3 Case Ordered Effects Matrix (version 3 of format) 210
8.4 Case Ordered Effects Matrix: Effects of Ongoing
and Event Linked Assistance 211
8.5 Case Ordered Predictor Outcome Matrix: Degree
of Preparedness as Related to Ease of Early
Implementation 214
8.6 Case Ordered Predictor Outcome Matrix:
Additional Factors Related to Early Implementation 216
8.7 Case Ordered Predictor Outcome Matrix: Factors
Contributing to Parent Involvement 218
8.8 Variable by Variable Matrix: Coping Strategies
and Problems, by Case 221
8.9 Predictor Outcome Matrix: Predictors of
Magnitude of User Practice Change 224
10.1 Case Ordered Meta Matrix: Percentage of Use,
by Cases 247
10.2 Qualitative Analysis Documentation Form 283
11.1 Ethical Frameworks and Aspects of Research 290
12.1 Matrix for Objectives of Dissemination Strategy
Planning 305
A.I Program Characteristics 316
Boxes
2.1 Conceptual Framework for an Ethnographic
Study 21
2.2 Emergent Conceptual Framework: The Antecedents
and Consequences of Cloaking Organizational
Activities 21
2.3 Types of Research Questions: Example 24
4.1 Document Summary Form: Illustration 55
4.2 Reflective Remarks: Illustrations 67
4.3 Marginal Remarks: Illustrations 67
4.4 Data Accounting Sheet: Abstract Example 81
4.5 Data Accounting Sheet: Illustration 82
4.6 Narrative Scene: Excerpt 83
5.1 Excerpt From a Transcript as Poem 110
5.2 Event Flow Network: A Student s Learning and
Work Experience 114
5.3 Critical Incident Chart and Time Line (excerpt
from Hawthorn School) 115
5.4 Event State Network, Banestown Case (excerpt) 116
5.5 Activity Record: Example 117
5.6 Decision Modeling: Example 118
5.7 Role by Time Matrix: Illustration Role Assistance,
by Phase 127
5.8 Thematic Conceptual Matrix: Problems and Coping
Strategies (Example From Chester High School) 132
5.9 Portion of Jack s Folk Taxonomy of Cars and
Trucks 133
6.1 Two Event Sequences 145
6.2 Explanatory Effects Matrix: Ongoing Assistance 149
6.3 Cause Effect Loops 153
6.4 Segmented Causal Network: The Influence of PEP
Program at Berton College 162
6.5 Smoothed Causal Network: The Variables and
Relationships Linking Administrators Actions
and Teacher Development Activities 163
6.6 Response Form for Causal Network Verification 164
7.1 Substructed Variable: Extent of Organizational
Change 184
7.2 Summed Indices: Reported Changes in User
Practice and Perception 194
7.3 Two Variable Case Ordered Matrix: Relationships
Between User Practice Stabilization and Local
Continuation 196
7.4 Two Variable Case Ordered Matrix: Speed of
Decision Making and Alternatives Considered 197
7.5 Contrast Table: Exemplary Cases Showing
Different Degrees of User Change 198
7.6 Scatterplot Over Time: The Consequences of
Assistance 203
8.1 Content Analytic Summary Table: Short and
Long Term Effects of Assistance, by Assistance
Domain 212
8.2 Content Analytic Summary Table: Assistance
Effects in High and Low Assistance Cases 212
8.3 Predictor Outcome Consequences Matrix:
Antecedents and Consequences of Assistance 219
List of Figures, Tables, and Boxes ¦ xi
7.2 (Repeated) Summed Indices: Reported Changes
in User Practice and Perception 223
8.4 Causal Chain: Illustration 227
8.5 Causal Chain: Illustration 227
8.6 Antecedents Matrix: Antecedents of Student Impact 234
10.1 Clusters of Information Processing Capacities 248
10.2 Overlapping Clusters: Behavioral Modes at the
Workplace 249
|
| any_adam_object | 1 |
| author | Miles, Matthew B. 1926-1996 Huberman, A. Michael 1940-2001 |
| author_GND | (DE-588)137989172 (DE-588)128105623 |
| author_facet | Miles, Matthew B. 1926-1996 Huberman, A. Michael 1940-2001 |
| author_role | aut aut |
| author_sort | Miles, Matthew B. 1926-1996 |
| author_variant | m b m mb mbm a m h am amh |
| building | Verbundindex |
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| ctrlnum | (OCoLC)29256112 (DE-599)BVBBV009559804 |
| dewey-full | 300.723 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 300 - Social sciences |
| dewey-raw | 300.723 |
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| dewey-sort | 3300.723 |
| dewey-tens | 300 - Social sciences |
| discipline | Soziologie Psychologie Sozial-/Kulturanthropologie / Empirische Kulturwissenschaft |
| edition | 2. ed. |
| format | Book |
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| id | DE-604.BV009559804 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T17:37:08Z |
| institution | BVB |
| isbn | 0803946538 0803955405 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006316904 |
| oclc_num | 29256112 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-473 DE-BY-UBG DE-29 DE-N2 DE-20 DE-19 DE-BY-UBM DE-703 DE-384 DE-739 DE-945 DE-824 DE-91G DE-BY-TUM DE-91 DE-BY-TUM DE-522 DE-634 DE-83 DE-188 DE-11 DE-29T |
| owner_facet | DE-355 DE-BY-UBR DE-473 DE-BY-UBG DE-29 DE-N2 DE-20 DE-19 DE-BY-UBM DE-703 DE-384 DE-739 DE-945 DE-824 DE-91G DE-BY-TUM DE-91 DE-BY-TUM DE-522 DE-634 DE-83 DE-188 DE-11 DE-29T |
| physical | XIV, 338 S. graph. Darst. |
| publishDate | 1994 |
| publishDateSearch | 1994 |
| publishDateSort | 1994 |
| publisher | Sage |
| record_format | marc |
| spelling | Miles, Matthew B. 1926-1996 Verfasser (DE-588)137989172 aut Qualitative data analysis an expanded sourcebook Matthew B. Miles ; A. Michael Huberman 2. ed. Thousand Oaks, Calif. [u.a.] Sage 1994 XIV, 338 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Data-analyse gtt Educación - Investigación Eğitim - Araştırma Kwalitatieve methoden gtt Sciences sociales - Recherche Sosyal bilimler - Araştırma Éducation - Recherche Erziehung Sozialwissenschaften Data Collection Data Interpretation, Statistical Education Research Research Design Handbooks Social Sciences Social sciences Research Qualitative Daten (DE-588)4176592-8 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Datenauswertung (DE-588)4131193-0 gnd rswk-swf Qualitative Sozialforschung (DE-588)4395695-6 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Methode (DE-588)4038971-6 gnd rswk-swf Qualitative Methode (DE-588)4137346-7 gnd rswk-swf Empirische Sozialforschung (DE-588)4014606-6 gnd rswk-swf Qualitative Daten (DE-588)4176592-8 s Datenanalyse (DE-588)4123037-1 s DE-604 Empirische Sozialforschung (DE-588)4014606-6 s Methode (DE-588)4038971-6 s Sozialwissenschaften (DE-588)4055916-6 s Qualitative Methode (DE-588)4137346-7 s Datenauswertung (DE-588)4131193-0 s Qualitative Sozialforschung (DE-588)4395695-6 s 1\p DE-604 Huberman, A. Michael 1940-2001 Verfasser (DE-588)128105623 aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006316904&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Miles, Matthew B. 1926-1996 Huberman, A. Michael 1940-2001 Qualitative data analysis an expanded sourcebook Data-analyse gtt Educación - Investigación Eğitim - Araştırma Kwalitatieve methoden gtt Sciences sociales - Recherche Sosyal bilimler - Araştırma Éducation - Recherche Erziehung Sozialwissenschaften Data Collection Data Interpretation, Statistical Education Research Research Design Handbooks Social Sciences Social sciences Research Qualitative Daten (DE-588)4176592-8 gnd Datenanalyse (DE-588)4123037-1 gnd Datenauswertung (DE-588)4131193-0 gnd Qualitative Sozialforschung (DE-588)4395695-6 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Methode (DE-588)4038971-6 gnd Qualitative Methode (DE-588)4137346-7 gnd Empirische Sozialforschung (DE-588)4014606-6 gnd |
| subject_GND | (DE-588)4176592-8 (DE-588)4123037-1 (DE-588)4131193-0 (DE-588)4395695-6 (DE-588)4055916-6 (DE-588)4038971-6 (DE-588)4137346-7 (DE-588)4014606-6 |
| title | Qualitative data analysis an expanded sourcebook |
| title_auth | Qualitative data analysis an expanded sourcebook |
| title_exact_search | Qualitative data analysis an expanded sourcebook |
| title_full | Qualitative data analysis an expanded sourcebook Matthew B. Miles ; A. Michael Huberman |
| title_fullStr | Qualitative data analysis an expanded sourcebook Matthew B. Miles ; A. Michael Huberman |
| title_full_unstemmed | Qualitative data analysis an expanded sourcebook Matthew B. Miles ; A. Michael Huberman |
| title_short | Qualitative data analysis |
| title_sort | qualitative data analysis an expanded sourcebook |
| title_sub | an expanded sourcebook |
| topic | Data-analyse gtt Educación - Investigación Eğitim - Araştırma Kwalitatieve methoden gtt Sciences sociales - Recherche Sosyal bilimler - Araştırma Éducation - Recherche Erziehung Sozialwissenschaften Data Collection Data Interpretation, Statistical Education Research Research Design Handbooks Social Sciences Social sciences Research Qualitative Daten (DE-588)4176592-8 gnd Datenanalyse (DE-588)4123037-1 gnd Datenauswertung (DE-588)4131193-0 gnd Qualitative Sozialforschung (DE-588)4395695-6 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Methode (DE-588)4038971-6 gnd Qualitative Methode (DE-588)4137346-7 gnd Empirische Sozialforschung (DE-588)4014606-6 gnd |
| topic_facet | Data-analyse Educación - Investigación Eğitim - Araştırma Kwalitatieve methoden Sciences sociales - Recherche Sosyal bilimler - Araştırma Éducation - Recherche Erziehung Sozialwissenschaften Data Collection Data Interpretation, Statistical Education Research Research Design Handbooks Social Sciences Social sciences Research Qualitative Daten Datenanalyse Datenauswertung Qualitative Sozialforschung Methode Qualitative Methode Empirische Sozialforschung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006316904&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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