Designing case studies: explanatory approaches in small-N research
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Basingstoke [u.a.]
Palgrave Macmillan
2012
|
| Ausgabe: | 1. publ. |
| Schriftenreihe: | Research methods series
|
| Schlagworte: | |
| Online-Zugang: | Cover image Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references |
| Beschreibung: | XVIII, 262 S. graph. Darst. |
| ISBN: | 9780230249691 |
Internformat
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Datensatz im Suchindex
| _version_ | 1805077361005166592 |
|---|---|
| adam_text |
Titel: Designing case studies
Autor: Blatter, Joachim
Jahr: 2012
Contents
List of Figures and Tables xiii
List of Abbreviations xv
Preface and Acknowledgements xvi
1 Relevance and Refinements of Case Studies 1
1.1 Case studies as cornerstones for theories and
research programs 2
1.2 The case for case study research 5
1.2.1 The growing relevance of timing, cognition,
and interdependence 5
1.2.2 Perforated boundaries in social reality and
the social sciences 6
1.2.3 Building bridges between paradigmatic
camps 7
1.3 The case for a non-fundamentalist and pluralist
epistemology 9
1.3.1 Empiricism/Positivism and Critical
Rationalism 9
1.3.2 Constructivism/Conventionalism and
Critical Theory 10
1.3.3 Pragmatism/Naturalism and Critical Realism 12
1.3.4 The epistemological 'middle ground':
Anti-fundamentalist and pluralistic 13
1.4 Case study methodology: A brief history and recent
contributions 15
1.5 Case studies: Toward a generic and
multidimensional definition 18
1.6 Observations: Toward an adequate understanding of
case studies 20
1.7 Three approaches to case study research:
An overview 23
1.7.1 Research goals and questions 23
1.7.2 Case and theory selection 24
1.7.3 Data generation and data analysis 26
1.7.4 Generalization 31
2 Co-Variational Analysis 33
2.1 Research goals and research questions 35
2.2 Ontological and epistemological foundations and
affinities 36
2.2.1 Experimental template and counterfactual
concept of causation 37
2.2.2 Experimental control versus control in
observational studies 38
2.2.3 Probabilistic versus deterministic causality 38
2.2.4 Autonomous versus configurational
causality 41
2.3 Selecting cases 41
2.3.1 Criteria for case selection 42
2.3.2 Modes of comparison 44
2.3.3 Cross-sectional comparison 45
2.3.4 Intertemporal comparison 46
2.3.5 Cross-sectional-intertemporal
comparison 47
2.3.6 Counterfactual comparison 48
2.3.7 Excursus: The method of agreement and the
most different systems design 49
2.4 The functions of prior knowledge and theory 50
2.4.1 Specifying the main independent and
dependent variable 51
2.4.2 Substantiating the research hypothesis 52
2.4.3 Identifying control variables 54
2.5 Drawing causal inferences for the cases under
investigation 54
2.5.1 Data set results and conclusions 55
2.5.2 Examples 58
2.5.3 Concluding remarks 61
2.6 Measurement and data collection 63
2.6.1 Conceptualization and measurement in
large-N versus small-N research 63
2.6.2 Determination of classifications and cut-off
points 65
2.6.3 Replicability and measurement error 67
2.6.4 Data triangulation 68
2.7 Direction of generalization 68
2.8 Presenting findings and conclusions 70
2.9 Example of best practice: Zangl's fudkalization
Matters! 71
2.10 Summary and conclusions 75
2.11 Appendix: How to make counterfactual analysis
more compelling 76
3 Causal-Process Tracing 79
3.1 Research goals and research questions 84
3.1.1 Starting points and research goals 84
3.1.2 Research goals and functions of
causal-process tracing 87
3.1.3 Research questions 88
3.2 Ontological and epistemological foundations 90
3.2.1 Contingency 91
3.2.2 Causal conditions and configurations 92
3.2.3 Additive and interactive configurations 93
3.2.4 Causal conjunctions and causal chains 94
3.2.5 Social and causal mechanisms 95
3.2.6 Summary 97
3.2.7 Appendix: Contexts 98
3.3 Selecting cases 99
3.3.1 Misleading advice and trade-offs 99
3.3.2 General criteria for selecting cases 102
3.3.3 Specific criteria for selecting cases according
to different research goals 102
3.4 Collecting empirical information 105
3.5 Drawing causal inferences for the case(s) under
investigation 106
3.5.1 The added value of causal-process
observations 107
3.5.2 Major features of causal-process tracing 109
3.5.3 Empirical fundaments of CPT: Storylines,
smoking guns, and confessions 110
3.5.4 Logical foundations of CPT I: Causal chains 119
3.5.5 Logical foundations of CPT II: Process
dynamics 121
3.6 Examples 123
3.6.1 Brady's Data-Set Observations versus
Causal-Process Observations 124
3.6.2 Skocpol's States and Social Revolutions 127
3.6.3 Tannenwald's The Nuclear Taboo 130
3.7 Direction of generalization 134
3.7.1 Implicit and explicit generalizations 135
3.7.2 'Possibilistic' generalization 135
3.7.3 Drawing conclusions to the sets of
causal conditions and
configurations 137
3.7.4 Drawing conclusions to the sets of social
and causal mechanisms 139
3.8 Presenting findings and conclusions 141
3.9 Summary 142
Congruence Analysis 144
4.1 Research goals and research questions 148
4.1.1 Research goals 149
4.1.2 Research questions 150
4.2 Ontological and epistemological foundations and
affinities 152
4.2.1 Illustrating the epistemological foundation
of the CON approach 152
4.2.2 Relationships between theories 154
4.2.3 Implications for the congruence analysis
approach 160
4.3 Selecting theories and cases 167
4.3.1 Selection and specification of
theories 169
4.3.2 Selection and specification of cases 175
4.3.3 Crucial cases 176
4.4 Formulating expectations and collecting data 178
4.4.1 The specification of propositions 179
4.4.2 Concrete expectations: Predictions 185
4.4.3 The collection of information and
production of data 187
4.5 Data analysis - The congruence analysis proper 188
4.5.1 The steps of the congruence analysis
proper 189
4.5.2 The full set of possible conclusions 189
4.5.3 Examples: Applications of the congruence
analysis proper 191
4.6 Direction of generalization 197
4.6.1 Theoretical generalization within a
competing theories approach 198
4.6.2 Theoretical generalization within a
complementary theories approach 200
4.7 Presenting findings and conclusions 202
4.8 Summary 203
5 Combining Diverse Research Approaches 205
5.1 Combining approaches and designs: Purposes and
possibilities 207
5.1.1 Strengthening concept validity of
descriptive inference 208
5.1.2 Strengthening or testing the internal
validity of causal inference 210
5.1.3 Complementing the range of variables,
conditions, mechanisms, and theories 211
5.1.4 Increasing the external validity of causal
inferences 211
5.2 Combining co-variational analysis and
causal-process tracing 212
5.2.1 X-centered combination of COV
and CPT 212
5.2.2 Y-centered combination of cross-case
comparisons and CPT 216
5.3 Combining congruence analysis and causal-process
tracing 218
5.3.1 Causal-process tracing as part of a
congruence analysis 218
5.3.2 Causal-process tracing as an inductive
addition to the deductive congruence
analysis 219
5.4 Connecting case studies to large-N studies 224
5.4.1 Case studies augmenting large-N studies 224
5.4.2 Case studies preceding large-N studies 229
5.5 Connecting case studies to medium-N studies 231
5.5.1 Qualitative Comparative Analysis as a
follow-up to case studies 232
5.5.2 Case studies as a follow-up to a Qualitative
Comparative Analysis 234
5.6 Preconditions for combining different explanatory
approaches 236
5.7 Final remarks 237
Notes 239
Bibliography 245
Index 256 |
| any_adam_object | 1 |
| author | Blatter, Joachim 1966- Haverland, Markus 1967- |
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| dewey-tens | 320 - Political science (Politics and government) |
| discipline | Politologie |
| edition | 1. publ. |
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| spelling | Blatter, Joachim 1966- Verfasser (DE-588)112239293 aut Designing case studies explanatory approaches in small-N research Joachim Blatter and Markus Haverland 1. publ. Basingstoke [u.a.] Palgrave Macmillan 2012 XVIII, 262 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Research methods series Includes bibliographical references Politische Wissenschaft Sozialwissenschaften Political science Research Methodology Social sciences Research Methodology Case method POLITICAL SCIENCE / Government / General bisacsh POLITICAL SCIENCE / Public Policy / General bisacsh POLITICAL SCIENCE / Government / Comparative bisacsh EDUCATION / Teaching Methods & Materials / General bisacsh Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Fallstudie (DE-588)4124897-1 gnd rswk-swf Politische Wissenschaft (DE-588)4076229-4 gnd rswk-swf Forschungsmethode (DE-588)4155046-8 gnd rswk-swf Politische Wissenschaft (DE-588)4076229-4 s Fallstudie (DE-588)4124897-1 s Sozialwissenschaften (DE-588)4055916-6 s Forschungsmethode (DE-588)4155046-8 s DE-604 1\p DE-604 Haverland, Markus 1967- Verfasser (DE-588)171421647 aut http://www.netread.com/jcusers2/bk1388/691/9780230249691/image/lgcover.9780230249691.jpg Cover image HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025116468&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 | Blatter, Joachim 1966- Haverland, Markus 1967- Designing case studies explanatory approaches in small-N research Politische Wissenschaft Sozialwissenschaften Political science Research Methodology Social sciences Research Methodology Case method POLITICAL SCIENCE / Government / General bisacsh POLITICAL SCIENCE / Public Policy / General bisacsh POLITICAL SCIENCE / Government / Comparative bisacsh EDUCATION / Teaching Methods & Materials / General bisacsh Sozialwissenschaften (DE-588)4055916-6 gnd Fallstudie (DE-588)4124897-1 gnd Politische Wissenschaft (DE-588)4076229-4 gnd Forschungsmethode (DE-588)4155046-8 gnd |
| subject_GND | (DE-588)4055916-6 (DE-588)4124897-1 (DE-588)4076229-4 (DE-588)4155046-8 |
| title | Designing case studies explanatory approaches in small-N research |
| title_auth | Designing case studies explanatory approaches in small-N research |
| title_exact_search | Designing case studies explanatory approaches in small-N research |
| title_full | Designing case studies explanatory approaches in small-N research Joachim Blatter and Markus Haverland |
| title_fullStr | Designing case studies explanatory approaches in small-N research Joachim Blatter and Markus Haverland |
| title_full_unstemmed | Designing case studies explanatory approaches in small-N research Joachim Blatter and Markus Haverland |
| title_short | Designing case studies |
| title_sort | designing case studies explanatory approaches in small n research |
| title_sub | explanatory approaches in small-N research |
| topic | Politische Wissenschaft Sozialwissenschaften Political science Research Methodology Social sciences Research Methodology Case method POLITICAL SCIENCE / Government / General bisacsh POLITICAL SCIENCE / Public Policy / General bisacsh POLITICAL SCIENCE / Government / Comparative bisacsh EDUCATION / Teaching Methods & Materials / General bisacsh Sozialwissenschaften (DE-588)4055916-6 gnd Fallstudie (DE-588)4124897-1 gnd Politische Wissenschaft (DE-588)4076229-4 gnd Forschungsmethode (DE-588)4155046-8 gnd |
| topic_facet | Politische Wissenschaft Sozialwissenschaften Political science Research Methodology Social sciences Research Methodology Case method POLITICAL SCIENCE / Government / General POLITICAL SCIENCE / Public Policy / General POLITICAL SCIENCE / Government / Comparative EDUCATION / Teaching Methods & Materials / General Fallstudie Forschungsmethode |
| url | http://www.netread.com/jcusers2/bk1388/691/9780230249691/image/lgcover.9780230249691.jpg http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025116468&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT blatterjoachim designingcasestudiesexplanatoryapproachesinsmallnresearch AT haverlandmarkus designingcasestudiesexplanatoryapproachesinsmallnresearch |