Research design in political science:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
London
Macmillan Education Palgrave
2016
|
| Series: | Political analysis
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | xvi, 379 Seiten Diagramme |
| ISBN: | 9781137342836 9781137342829 |
Staff View
MARC
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Record in the Search Index
| _version_ | 1804175948062392320 |
|---|---|
| adam_text | Brief Contents
List of Ligures, Tables and Boxes xiii
Preface xv
1 Introduction 1
2 Types of Research and Research Questions 23
3 Theory in the Research Process 56
4 Concepts and Operationalization 83
5 Measurement and Description 107
6 Explanation and Causality 145
7 Experimental Designs 166
8 Large-N Designs 200
9 Comparative Designs 258
10 Single-Case Study Designs 285
11 Mixed and Nested Designs 310
12 Communicating Research 328
References 345
Index 368
Contents
List of Ligures, Tables and Boxes
Preface
1 Introduction
What Is Research?
What Is Science?
Publicness
The scientific method
Why Research Design?
What Is Political Science?
The Purposes of This Text
Who is this text for?
The Way Ahead
2 Types of Research and Research Questions
Normative and Positive Research
Theoretical and Empirical Research
Descriptive, Predictive, and Explanatory Research
Description
Prediction
Explanation
Theory Generation, Theory Testing, and Theory Application
Theory generation
Theory testing
Theory application
Alternative Approaches
Choosing a Topic
Sharpening the Research Question
Further Reading
3 Theory in the Research Process
Paradigms, Theories, Models, and Interpretations
The Functions of Theory
The Structure of Theory
Developing Explanatory Theory
Informal analysis
Mathematical analysis
vii
xiii
XV
1
2
2
3
4
9
13
16
18
20
23
24
28
30
31
33
35
37
38
39
40
42
44
51
54
56
56
58
62
67
68
69
viii Contents
Game theory
Agent-based modelling
Statistical models
What Makes a Good Theory?
Truth
Parsimony
Generality
Precision
Practical Considerations about I hcory
Further Reading
71
73
76
/ /
77
7S
7S
79
SO
S2
4 Concepts and Operationalization
Concepts
Defining concepts
The nature of concepts
The structure of concepts
Relationships between concepts
Definitions
Conceptualization
Classification (intensional)
Evaluating concepts and classifications
Classification and measurement
Operationalization
Pitfalls of Conceptualization
Conceptual profusion
Conceptual stretching and functional equivalence
The legal-bureaucratic context
Contested concepts
Summing Up
Further Reading
53
54
86
89
92
94
95
96
99
100
100
102
102
103
103
104
105
105
5 Measurement and Description
107
Preliminaries
A Glossary of Research Terms
What is a case?
Cases, samples, and populations
Measurement Reliability and Validity
Measurement Strategies in Political Science
Measuring policy positions of political parties
Descriptive Inference
Goals of Descriptive Research
Describing Populations
Univariate descriptions of populations
107
109
109
1 1 1
1 17
I 19
120
123
124
125
125
Contents i X
Multivariate descriptions of populations 134
Describing associations between variables 138
Describing Individual Cases 140
Participant observation and ethnographic fieldwork 141
Archival historical research 143
Further Reading 144
6 Explanation and Causality 145
Types of Explanation 145
Covering laws 146
Probabilistic-nomological explanation 147
Functional explanation 148
Intentional explanations 149
Mechanistic causal explanations 150
Notions of Causality 153
A counter factual definition 153
General patterns and particular facts 154
Complete and partial, deterministic and
probabilistic explanations 155
Prospective and retrospective causation 156
Association, prediction, and causation 156
Intervention, manipulation, and causation 157
Summing up 158
Causal Inference 160
T/?e problem 160
Partial solutions 161
Further Reading 164
7 Experimental Designs 166
The Basics of Experimental Research 167
Experiments, randomized controlled trials,
and quasi-experiments 167
T/7e goals of experimental research 168
Tfce logic of experimental research 169
Validity 173
A hypothetical example 173
The Design of Experimental Research 176
Level of analysis 176
Sample size 177
Blocking and randomization 179
T/?e experimental setting 181
Complications 182
The Analysis of Experimental Data 186
x Contents
Experiments in Political Science and Public Policy Research
Survey experiments
Field experiments
Social network-based experiments
Laboratory experiments
Limits to Experimental Research
Further Reading
190
190
192
194
195
196
197
8 Large-N Designs
200
The Logic of Large-N Research
An example
Pitfalls on the Way from Association to Causation
Conditions for Causal Inference
Strategies for Causal Inference in Large-N Research
Natural experiments
Instrumental variables
Mediation analysis
Conditioning
Summary and additional approaches
Common Designs for Causal Inference
Time series
Cross-sectional designs
Panel designs
Multilevel designs
Estimating Causal Effects
Varieties of association
Size of the association
Uncertainty and statistical significance
Linearity and beyond
Limited outcomes
The Design of Large-N Observational Research
Variable selection
Case selection
Levels of analysis and observation
Measurement error and missing data
Uses of Large-N Research
Further Reading
201
202
205
209
21 I
211
216
219
220
225
227
227
231
232
236
237
237
238
239
242
243
243
244
247
253
254
255
256
9 Comparative Designs
258
The Logic of Small-N Comparative Research
The Design of Small-N Comparative Research
Most similar systems design I
Most similar systems design II
259
262
262
266
Contents xi
Most different systems design 268
Beyond the most simple designs 269
Qualitative Comparative Analysis 269
Necessary and sufficiefît conditions 270
Boolean minimization: a simple example 271
A slightly more complex example: the curse of
dimensionality logical remainders, and inconsistency 274
Case and variable selection in OCA 279
Extensions and alternatives 280
Limits of Small-N Comparative Research 282
Further Reading 283
10 Single-Case Study Designs 285
What Is a Case? 286
Uses of Single-Case Designs 288
Theory application and abductive explanation 288
Theory testing: outcomes and mechanisms 290
Exploration, theory generation, and description 291
Selecting Evidence to Observe 294
Conducting Case Study Research 297
Process tracing 297
Limitations of Single-Case Designs 304
Further Reading 307
11 Mixed and Nested Designs 310
A Pragmatic Approach to Political Science Research 310
Mixing and Nesting 312
Uses of Mixed Research Designs 313
Triangulation and cross-validation 313
Validating theoretical and methodological assumptions 314
Exploring and validating causal mechanisms 315
Building theories before testing theories 316
Testing explanations with cross-case
and within-case evidence 316
Selecting Cases in Mixed and Nested Designs 318
Case selection when combining large-N
and single-case designs 318
Case selection when combining small-N
and single-case designs 320
Case selection for composite projects 322
Mixing Methods at the Level of Research Programs 323
Critiques of Combining Research Methods and Designs 325
Further Reading 326
xii Contents
12 Communicating Research 328
The Outputs of the Research Process 329
Styles of academic writing 330
Structuring research proposals 33 1
Structuring research reports 333
The Ethics of Political Science Research 335
Research integrity 335
Political science and the broader society 340
The Role of Political Science 342
References 445
Index 46 s
|
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| indexdate | 2024-07-10T07:24:23Z |
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| isbn | 9781137342836 9781137342829 |
| language | English |
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| physical | xvi, 379 Seiten Diagramme |
| publishDate | 2016 |
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| series2 | Political analysis |
| spelling | Toshkov, Dimiter 1978- Verfasser (DE-588)1088346235 aut Research design in political science Dimiter Toshkov London Macmillan Education Palgrave 2016 xvi, 379 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Political analysis Politische Wissenschaft Political science Research Forschung (DE-588)4017894-8 gnd rswk-swf Politische Wissenschaft (DE-588)4076229-4 gnd rswk-swf Methode (DE-588)4038971-6 gnd rswk-swf Politische Wissenschaft (DE-588)4076229-4 s Forschung (DE-588)4017894-8 s Methode (DE-588)4038971-6 s 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=028800697&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Toshkov, Dimiter 1978- Research design in political science Politische Wissenschaft Political science Research Forschung (DE-588)4017894-8 gnd Politische Wissenschaft (DE-588)4076229-4 gnd Methode (DE-588)4038971-6 gnd |
| subject_GND | (DE-588)4017894-8 (DE-588)4076229-4 (DE-588)4038971-6 |
| title | Research design in political science |
| title_auth | Research design in political science |
| title_exact_search | Research design in political science |
| title_full | Research design in political science Dimiter Toshkov |
| title_fullStr | Research design in political science Dimiter Toshkov |
| title_full_unstemmed | Research design in political science Dimiter Toshkov |
| title_short | Research design in political science |
| title_sort | research design in political science |
| topic | Politische Wissenschaft Political science Research Forschung (DE-588)4017894-8 gnd Politische Wissenschaft (DE-588)4076229-4 gnd Methode (DE-588)4038971-6 gnd |
| topic_facet | Politische Wissenschaft Political science Research Forschung Methode |
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