Content analysis: an introduction to its methodology
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Los Angeles
SAGE
[2019]
|
| Ausgabe: | Fourth edition |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xiv, 453 Seiten Illustrationen, Diagramme |
| ISBN: | 9781506395661 |
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Datensatz im Suchindex
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BRIEF CONTENTS
Preface to the Fourth Edition xii
Introduction 1
PART I • CONCEPTUALIZING CONTENT ANALYSIS
Chapter 1 • History 10
Chapter 2 • Conceptual Foundation 24
Chapter 3 • Uses and Inferences 51
PART II • COMPONENTS OF CONTENT ANALYSIS
Chapter 4 • The Logic of Content Analysis Designs 86
Chapter 5 • Unitizing 102
Chapter 6 • Sampling 115
Chapter 7 • Recording/Coding 128
Chapter 8 • Data Languages 157
Chapter 9 • Analytical Constructs 178
PART III • ANALYTICAL PATHS
AND EVALUATIVE TECHNIQUES
Chapter 10 • Analytical/Representational Techniques 196
Chapter 11 • Computer Aids 215
Chapter 12 • Reliability 277
Chapter 13 • Validity 361
Chapter 14 • A Practical Guide 383
Glossary 407
References 414
Index 433
About the Author
453
DETAILED CONTENTS
Preface to the Fourth Edition xii
Introduction 1
PARTI • CONCEPTUALIZING CONTENT ANALYSIS
Chapter 1 • History 10
1.1 Some Precursors 10
1.2 Quantitative Newspaper Analysis 11
1.3 Early Content Analysis 12
1.4 Propaganda Analysis 14
1.5 Content Analysis Generalized 17
1.6 Computer Text Analysis 18
1.7 Qualitative Approaches 21
Chapter 2 • Conceptual Foundation 2U
2.1 Definition 24
2.2 Epistemological Elaborations 27
2.3 Examples 31
2.4 Framework 37
2.4.1 Texts 38
2.4.2 Research Questions 39
2.4.3 Context 40
2.4.4 Analytical Constructs 42
2.4.5 Inferences 43
2.4.6 Validating Evidence 45
2.5 Contrasts and Comparisons 46
Chapter 3 • Uses and Inferences 51
3.1 Traditional Overviews 51
3.2 Extrapolations 54
3.2.1 Trends 55
3.2.2 Patterns 56
3.2.3 Differences 58
3.3 Standards 61
3.3.1 Identifications 61
3.3.2 Evaluations 62
3.3.3 Judgments 64
3.4 Indices and Symptoms 65
3.5 Linguistic Re-Presentations 69
3.6 Conversations
3.7 Institutional Processes
3.8 Areas of Likely Success
73
74
80
PART II • COMPONENTS OF CONTENT ANALYSIS
Chapter 4 • The Logic of Content Analysis Designs 86
4.1 Content Analysis Designs 86
4.1.1 Components 87
4.1.2 Quantitative and Qualitative Content Analysis 91
4.2 Designs Preparatory to Content Analysis 94
4.2.1 Operationalizing Available Knowledge of the Context 94
4.2.2 Testing Analytical Constructs as Hypotheses 95
4.2.3 Developing Analytical Constructs by Trial and Error 96
4.3 Designs Going Beyond Content Analysis 98
4.3.1 Comparing Similar Phenomena Inferred From
Different Bodies of Texts 99
4.3.2 Testing Relationships Among Phenomena Inferred
From One Body of Texts 99
4.3.3 Testing Hypotheses Concerning How Content
Analysis Results Relate to Other Variables 100
Chapters • Unitizing 102
5.1 Units 102
5.2 Types of Units 103
5.2.1 Sampling Units 103
5.2.2 Recording/Coding Units 104
5.2.3 Context Units 105
5.3 Ways of Defining Units 107
5.3.1 Physical Distinctions 107
5.3.2 Syntactical Distinctions 108
5.3.3 Categorial Distinctions 109
5.3.4 Propositional Distinctions 110
5.3.5 Thematic Distinctions 111
5.4 Productivity, Efficiency, and Reliability 112
Chapter 6 • Sampling 115
6.1 Sampling in Theory 115
6.2 Sampling Techniques Applicable to Texts 117
6.2.1 Random Sampling 118
6.2.2 Systematic Sampling 118
6.2.3 Stratified Sampling 119
6.2.4 Varying Probability Sampling 119
6.2.5 Cluster Sampling 120
6.2.6 Snowball Sampling 121
6.2.7 Relevance Sampling 122
6.2.8 Census 123
6.2.9 Convenience Sampling 124
6.3 Sample Size 124
6.3.1 Statistical Sampling Theory 124
6.3.2 Sampling Experiments 125
6.3.3 The Split-Half Technique 127
Chapter 7 • Recording/Coding 128
7.1 The Function of Coding and Recording 128
7.2 Coder Qualifications 130
7.2.1 Cognitive Abilities 130
7.2.2 Background 130
7.2.3 Frequency 131
7.3 Coder Training 131
7.4 Crowdcoding 134
7.4.1 Methodological Advantages 135
7.4.2 Efforts to Assure Crowdcoding Quality 136
7.4.3 Uses of Reliability Tests 136
7.4.4 Limitations and Warnings 137
7.5 Approaches to Defining the Semantics of Data 138
7.5.1 Verbal Designations 139
7.5.2 Extensional Lists 140
7.5.3 Examples 141
7.5.4 Decision Schemes 142
7.5.5 Magnitudes and Scales 143
7.5.6 Simulation of Hypothesis Testing 145
7.5.7 Simulation of Interviewing 146
7.5.8 Constructs for Closure 148
7.6 Records 149
7.6.1 Administrative Information 151
7.6.2 Information on the Organization of Records 151
7.6.3 Substantive Information About the Phenomena of Interest 153
Chapter 8 • Data Languages 157
8.1 The Place of Data Languages in Analytical Efforts 157
8.2 Definitions 159
8.3 Variables 161
8.4 Nominal Variables 167
8.5 Ordered Variable 167
8.5.1 Chains 168
8.5.2 Recursions 169
8.5.3 Cubes 169
8.5.4 Trees 171
8.5.5 Multi-Valued Sets 171
8.6 Metrics 172
8.6.1 Ordinal Metrics 173
8.6.2 Interval Metrics 175
8.6.3 Ratio Metrics 176
8.7 Mathematical Operations 176
Chapter 9 • Analytical Constructs 178
9.1 The Role of Analytical Constructs 178
9.2 Sources of Certainty 180
9.2.1 Previous Successes and Failures 180
9.2.2 Expert Knowledge and Experience 181
9.2.3 Established Theories 183
9.2.4 Embodied Practices 185
9.3 Types of Constructs 186
9.3.1 Extrapolations 186
9.3.2 Applications of Standards 186
9.3.3 Indices and Symptoms 186
9.3.4 Re-Presentations 188
9.3.5 Conversations/lnteractions 189
9.3.6 Institutional Processes 189
9.4 Sources of Uncertainty 191
9.4.1 Variance of theTarget Domain 191
9.4.2 Confidence Levels 192
9.4.3 Stability of the Analytical Constructs Model 192
PART III • ANALYTICAL PATHS
AND EVALUATIVE TECHNIQUES
Chapter 10 • Analytical/Representational Techniques 196
10.1 Counts 197
10.2 Cross-Tabulations, Associations, and Correlations 200
10.3 Multivariate Techniques 203
10.4 Factor Analysis and Multidimensional Scaling 205
10.5 Images, Portrayals, Semantic Nodes, and Profiles 207
10.6 Contingencies and Contingency Analysis 210
10.7 Clustering 212
Chapter 11 • Computer Aids 215
11.1 What Computers Do 215
11.2 How Computers Can Aid Content Analyses 216
11.3 Text Analyses 220
11.3.1 Accounts of Character Strings 220
11.3.2 Text Mining 227
11.3.3 Mining Textual Evidence for Theories 236
11.3.4 Analysis of Networked Texts 239
11.4 Computational Content Analyses 246
11.4.1 Coding/Dictionary Approaches 248
11.4.2 Machine Learning of Discriminant Functions 254
11.4.3 Statistical Association Approaches 256
11.4.4 Semantic Network Approaches 258
11.4.5 Memetic Approaches 264
11.5 Qualitative Data Analysis Support 268
11.6 Frontiers 272
11.6.1 Intelligent Browsers 272
11.6.2 Common Platforms 272
11.6.3 Computational Theories of Meaning 273
11.6.4- Utilization of Intertextualities 274
11.6.5 Analyzing Networked Text 274
11.6.6 Natural Interfaces 275
Chapter 12 • Reliability 277
12.1 Why Reliability? 277
12.2 Reliability Designs 280
12.2.1 Types of Agreement; Types of Reliability 280
12.2.2 Conditions for Generating Reliability Data 283
12.2.3 Reliability Data 285
12.3 Agreement on Coding Predefined Units 289
12.3.1 The Direct Path to ca-Agreement 293
12.3.2 The Path to ca via Coincidence Matrices 296
12.3.3 Difference Functions for Data With Various Metrics 299
12.3.4 Some Typical Examples and Important Properties 306
12.3.4.1 Binary Data, None Missing 306
12.3.4.2 Coincidences and Contingencies 308
12.3.4.3 as Decomposition of Observed Coincidences 310
12.3.4.4 Two Observers, Several Nominal Values, No Missing Data 310
12.3.4.5 Uninformative Values in Ordered Variables 312
12.3.4.6 Trading Information for Reliability 314
12.3.5 Some Contested Coefficients and Correspondences 315
12.4 Accuracy, Surrogacy, and the Decisiveness of Majorities 323
12.4.1 Accuracy of or Surrogacy for Crowd Members' Judgments 325
12.4.2 Accuracy of or Surrogacy for Majorities or Aggregates 326
12.4.3 The Decisiveness of Majorities or Aggregates 328
12.4.4 Numerical Examples 329
12.5 The Reliability of Text Mining and Information Retrieval 331
12.5.1 For Replications of Searches 334
12.5.2 For Replications of Judgments on the Relevance of
Retrieval Results 336
12.6 Agreement on Unitizing and Coding Finite Continua 337
12.6.1 Reliability Data From Unitizing 338
12.6.2 Observed and Expected Coincidences 340
12.6.3 Agreement on the Partitions of a Continuum Into
Unequal Segments 342
12.6.4 Agreement on the Distinction Between Relevant
and Irrelevant Segments 343
12.6.5 Agreement on the Coding of Single-Valued
Segments Independent of Unitizing 344
12.6.6 Agreement on Individual Values Among Valued Intersections 346
12.7 Agreement on Multi-Valued Coding 347
12.7.1 Two Reasons for Multi-Valued Coding 348
12.7.2 Reliability Data for Multi-Valued Coding 349
12.7.3 Multi-Valued Difference Functions 349
12.7.4 Disagreements for Multi-Valued Data 350
12.7.5 ca for Multi-Valued Coding 351
12.8 Statistical Properties of a 351
12.8.1 Insufficient Variation 351
12.8.2 Statistical Significance 353
12.8.3 Sampling Considerations 354
12.8.4 Standards for the Reliability of Data 356
Chapter 13 • Validity 361
13.1 Validity Defined 361
13.2 A Typology for Validating Evidence 365
13.2.1 Sampling Validity 368
13.2.2 Semantic Validity 370
13.2.3 Structural Validity 376
13.2.4 Functional Validity 377
13.2.5 Correlative Validity 378
13.2.6 Predictive Validity 381
Chapter 14 • A Practical Guide 383
14.1 Designing an Analysis 384
14.1.1 Text-Driven Analyses 384
14.1.2 Problem-Driven Analyses 386
14.1.2.1 Formulating Research Questions 387
14.1.2.2 Ascertaining Stable Correlations (With the Research QuestionsJ 388
14.1.2.3 Locating Relevant Texts 390
14.1.2.4 Defining and Identifying Sampling Units Among Relevant Texts 392
14.1.2.5 Sampling a Sufficiently Large Number of These Units 393
14.1.2.6 Developing Appropriate Coding Categories and
Recording Instructions 394
14.1.2.7 Selecting Appropriate Analytical Procedures 395
14.1.2.8 Adopting Standards for the Reliability of Generated
Data and Statistical Significance Levels for the Results 396
14.1.2.9 Allocating Resources 397
14.1.3 Method-Driven Analyses 398
14.2 Writing a Research Proposal 400
14.2.1 Rhetorical Function 400
14.2.2 Contractual Function 401
14.2.3 Outline for a Research Proposal 402
14.3 Applying the Research Design 403
14.4 Narrating the Results 404
14.4.1 Outline fora Research Report 405
Glossary 407
References 414
Index 433
About the Author 453 |
| any_adam_object | 1 |
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| callnumber-first | P - Language and Literature |
| callnumber-label | P93 |
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| dewey-full | 302.2 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 302 - Social interaction |
| dewey-raw | 302.2 |
| dewey-search | 302.2 |
| dewey-sort | 3302.2 |
| dewey-tens | 300 - Social sciences |
| discipline | Allgemeines Soziologie |
| edition | Fourth edition |
| format | Book |
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| genre | 1\p (DE-588)4123623-3 Lehrbuch gnd-content |
| genre_facet | Lehrbuch |
| id | DE-604.BV045130826 |
| illustrated | Illustrated |
| indexdate | 2024-12-09T13:09:09Z |
| institution | BVB |
| isbn | 9781506395661 |
| language | English |
| lccn | 017050739 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030520825 |
| oclc_num | 1023431842 |
| open_access_boolean | |
| owner | DE-703 DE-188 DE-11 DE-473 DE-BY-UBG DE-824 DE-523 DE-739 DE-N2 DE-355 DE-BY-UBR DE-1049 DE-1046 |
| owner_facet | DE-703 DE-188 DE-11 DE-473 DE-BY-UBG DE-824 DE-523 DE-739 DE-N2 DE-355 DE-BY-UBR DE-1049 DE-1046 |
| physical | xiv, 453 Seiten Illustrationen, Diagramme |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | SAGE |
| record_format | marc |
| spelling | Krippendorff, Klaus 1932-2022 Verfasser (DE-588)136072429 aut Content analysis an introduction to its methodology Klaus Krippendorff (Annenberg School for Communication, University of Pennsylvania) Fourth edition Los Angeles SAGE [2019] © 2019 xiv, 453 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Content analysis (Communication) Methode (DE-588)4038971-6 gnd rswk-swf Inhaltsangabe (DE-588)4161732-0 gnd rswk-swf Textanalyse (DE-588)4194196-2 gnd rswk-swf Kommunikationsforschung (DE-588)4114259-7 gnd rswk-swf Inhaltsanalyse (DE-588)4027005-1 gnd rswk-swf Computerlinguistik (DE-588)4035843-4 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Inhaltsanalyse (DE-588)4027005-1 s Methode (DE-588)4038971-6 s DE-604 Kommunikationsforschung (DE-588)4114259-7 s Textanalyse (DE-588)4194196-2 s Computerlinguistik (DE-588)4035843-4 s 2\p DE-604 Inhaltsangabe (DE-588)4161732-0 s 3\p DE-604 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030520825&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 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Krippendorff, Klaus 1932-2022 Content analysis an introduction to its methodology Content analysis (Communication) Methode (DE-588)4038971-6 gnd Inhaltsangabe (DE-588)4161732-0 gnd Textanalyse (DE-588)4194196-2 gnd Kommunikationsforschung (DE-588)4114259-7 gnd Inhaltsanalyse (DE-588)4027005-1 gnd Computerlinguistik (DE-588)4035843-4 gnd |
| subject_GND | (DE-588)4038971-6 (DE-588)4161732-0 (DE-588)4194196-2 (DE-588)4114259-7 (DE-588)4027005-1 (DE-588)4035843-4 (DE-588)4123623-3 |
| title | Content analysis an introduction to its methodology |
| title_auth | Content analysis an introduction to its methodology |
| title_exact_search | Content analysis an introduction to its methodology |
| title_full | Content analysis an introduction to its methodology Klaus Krippendorff (Annenberg School for Communication, University of Pennsylvania) |
| title_fullStr | Content analysis an introduction to its methodology Klaus Krippendorff (Annenberg School for Communication, University of Pennsylvania) |
| title_full_unstemmed | Content analysis an introduction to its methodology Klaus Krippendorff (Annenberg School for Communication, University of Pennsylvania) |
| title_short | Content analysis |
| title_sort | content analysis an introduction to its methodology |
| title_sub | an introduction to its methodology |
| topic | Content analysis (Communication) Methode (DE-588)4038971-6 gnd Inhaltsangabe (DE-588)4161732-0 gnd Textanalyse (DE-588)4194196-2 gnd Kommunikationsforschung (DE-588)4114259-7 gnd Inhaltsanalyse (DE-588)4027005-1 gnd Computerlinguistik (DE-588)4035843-4 gnd |
| topic_facet | Content analysis (Communication) Methode Inhaltsangabe Textanalyse Kommunikationsforschung Inhaltsanalyse Computerlinguistik Lehrbuch |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030520825&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT krippendorffklaus contentanalysisanintroductiontoitsmethodology |