Causal case study methods: foundations and guidelines for comparing, matching, and tracing
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Ann Arbor
University of Michigan Press
2016
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | x, 388 Seiten Illustrationen |
| ISBN: | 9780472073221 9780472053223 |
Internformat
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Datensatz im Suchindex
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| adam_text |
Titel: Causal case study methods
Autor: Beach, Derek
Jahr: 2016
Contents
Acknowledgments ix
Chapter i. Causal Case Studies r
i.i. Introduction i
1.2. What Is a Case? 5
1.3. Plan of the Book 7
1.4. Three Philosophical Positions and Case-Based Research 11
Chapter 2. Understanding Causation in Case-Based Methods 14
2.1. Introduction 14
2.2. Different Ontological Assumptions in Causal Case Study Methods ij
2.3. The Core of Case-Based Research: Determinism and Asymmetry 19
2.4. Causality as Counterfactuals versus Mechanisms 27
2.5. Regularity versus Singular Causation 42
1.6. Methodological Implications of Deterministic and Asymmetric
Causal Claims 44
Chapter 3. Types of Causal Explanations in Case-Based Research 62
3.1. Introduction 61
3.2. The Types of Causal Claims Being Made in Different Methods 61
3.3. Necessary and Sufficient Conditions 65
3.4. Causal Mechanisms-Minimalist and Systems Understandings 71
3.5. Are Causal Theories and Mechanisms Observable? 92
3.6. Conclusions; or, How Do I Know a Good Causal Theory When I
See It? 94
Chapter 4. Defining the Attributes of Causal Concepts 95
with Jörgen M0iler and Svend-Erik Skaaning
4.1. Introduction 95
4.2. The Implications of Determinism and Asymmetry for
Conceptualization 98
vi Contents
4.3. What Does a "Good" Defined Causal Concept Look Like in Case-Based
Research? 101
4.4. Defining the Attributes That Make Up Causal Concepts-Concept
Structure 104
4.5. Defining Concepts-A Three-Step Procedure 109
4.6. Concluding Guidelines for How to Define the Content of Causal
Concepts 117
Chapter 5. Measuring Causal Concepts 119
with Jörgen Moller and Svend-Erik Skaaning
5.1. Introduction 119
5.2. Measurement Reliability and Validity 122
5.3. Differences in Measurement in Variance-Based and Case-Based
Research 124
5.4. Defining the Observable Manifestations of Concepts 126
5.5. Measuring the Attributes of Causal Concepts 133
5.6. Concluding Guidelines for Measurement of Causal Concepts 151
Chapter 6. Making Inferences in Case-Based Research 154
6.1. Introduction 154
6.1. Two Categories of Evidence: Difference-Making and Mechanistic 159
6.3. Problems with Existing Inferential Frameworks in Case Study
Research 161
6.4. Informal Bayesian Logic and Case-Based Methods 169
6.5. What Is Our Prior Confidence in the Theoretical Hypothesis? 177
6.6. The Theoretical Weight of Evidence 182
6.7. Linking Propositions with Empirical Material 188
6.8. Z£ ? Collective Body of Evidence-Aggregating Individual Pieces of
Evidence 201
6.9. j4« Example of the Aggregation of Evidence in Practice-Tannenwald
(1999) 214
6.10. Conclusions 224
Chapter 7. Comparative Methods 227
with Jörgen Moller and Svend-Erik Skaaning
7.1. Introduction 227
7.2. The Assumptions of Comparative Methods 230
7.3. What Does It Mean to Compare? 231
7.4. The Tools of Comparative Methods 235
7.5. Using Comparative Methods to Find Causes 241
7.6. Building Causally Homogeneous Populations 245
7.7. Disconfirming Theory Tests Using Comparative Methods 253
7.8. Single-Case, Counterfactual Comparisons 260
Contents vii
7.9. An Example of Comparative Design 262
7.10. Concluding Guidelines 265
Chapter 8. Congruence Methods 269
8.r. Introduction 269
8.2. The Assumptions of Congruence Case Study Methods 271
8.3. What Are We Making Inferences About? 272
8.4. Explaining Outcome Congruence Studies 27$
8.5. Theory-Building-Exploratory Case Studies 279
8.6. Testing-Plausibility Probes and Robust Congruence Case Studies 280
8.7. Refining Theories Using Congruence 292
8.8. An Extended Example-Brooks and Wohlfiorth's Congruence
Analysis 293
8.9. Concluding Recommendations 300
Chapter 9. Process-Tracing Methods 302
9.1. Introduction 302
9.2. The Assumptions of Process-Tracing Methods 305
9.3. What Are We Making Inferences about in Process-Tracing? 307
9.4. Explaining Outcome Process-Tracing 308
9.5. Theory-Building Process-Tracing 313
9.6. Theory-Testing Process-Tracing 319
9.7. Revising Theories with Process-Tracing 325
9.8. An Example-Brast's Study of State-Building Interventions 328
9.9. Concluding Guidelines 335
Chapter 10. Bringing It All Together 337
10.1. Introduction ^yj
10.2. Our Contribution 338
10.3. Possible Critique and Responses 342
10.4. Directions for Future Methodological Research 343
Notes 347
References 357
Index 375 |
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| title | Causal case study methods foundations and guidelines for comparing, matching, and tracing |
| title_auth | Causal case study methods foundations and guidelines for comparing, matching, and tracing |
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| title_full | Causal case study methods foundations and guidelines for comparing, matching, and tracing Derek Beach and Rasmus Brun Pedersen |
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| title_sub | foundations and guidelines for comparing, matching, and tracing |
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