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Rethinking social inquiry : diverse tools, shared standards / edited by Henry E. Brady and David Collier.

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LIBRA H62 .R4646 2004
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Format:
Book
Contributor:
Brady, Henry E.
Collier, David, 1942-
Language:
English
Subjects (All):
Social sciences--Research.
Social sciences.
Social sciences--Methodology.
Physical Description:
xx, 362 pages ; 23 cm
Place of Publication:
Lanham, MD : Rowman & Littlefield, [2004]
Summary:
When it was first published, Designing Social Inquiry, by political scientists Gary King, Robert Keohane, and Sidney Verba, at once struck chords of controversy. As it became one of the best-selling methodology books in memory, it continued to spark debat
Contents:
1. Refocusing the Discussion of Methodology / Henry E. Brady, David Collier, Jason Seawright 3
Mainstream Quantitative Methods, Qualitative Methods, and Statistical Theory 3
The Debate on Designing Social Inquiry 5
DSI's Contribution 5
Tools and Standards 7
Toward an Alternative View of Methodology 10
Critiques of the Quantitative Template 15
Qualitative Tools 16
Linking the Quantitative and Qualitative Traditions 18
Diverse Tools, Shared Standards 19
2. The Quest for Standards: King, Keohane, and Verba's Designing Social Inquiry / David Collier, Jason Seawright, Gerardo L. Munck 21
Scientific Research, Inference, and Assumptions 22
Scientific Research 22
Inference 23
Descriptive Inference 23
Causal Inference 25
Making Inferences: Quantitative Tools and Analytic Goals 26
Causal Homogeneity 29
Independence of Observations 30
Conditional Independence 31
Guidelines: Summarizing DSI's Framework 36
A. Defining the Research Problem 37
B. Specifying the Theory 38
C. Selecting Cases and Observations 38
D. Descriptive Inference 40
E. Causal Inference 42
F. Further Testing and Reformulating the Theory 44
Anticipating the Discussion of DSI's Framework 44
I. Areas of Convergence 44
II. Areas of Divergence 46
II. Critiques of the Quantitative Template 51
3. Doing Good and Doing Better: How Far Does the Quantitative Template Get Us? / Henry E. Brady 53
Theology versus Homiletics 53
Descending from the Rhetorical Heights 56
Explanation and Causality 56
Measurement 62
4. Some Unfulfilled Promises of Quantitative Imperialism / Larry M. Bartels 69
The Contribution and a Shortcoming 70
Omissions and an Agenda for Research 71
Uncertainty 71
Qualitative Evidence 71
Measurement Error 72
Multiplying Observations 73
5. How Inference in the Social (but Not the Physical) Sciences Neglects Theoretical Anomaly / Ronald Rogowski 75
Problemation and Deductive Theorizing 76
Theory and Anomaly: Some Examples 77
Lessons 82
6. Claiming Too Much: Warnings about Selection Bias / David Collier, James Mahoney, Jason Seawright 85
Do the Warnings Claim Too Much? 86
Selecting Extreme Values on the Dependent Variable: Why Is It an Issue? 88
An Example 89
Understanding Why Selection Bias Results from Truncation 90
Selection Bias in Qualitative Research 92
Cross-Case Analysis and Selection Bias 94
Within-Case Analysis and Selection Bias 95
Evaluating the Causal Relationship 96
Atypical Cases and Overgeneralization 97
Stern Warnings about No-Variance Designs 99
Further Observations about Cross-Case and Within-Case Comparison 100
III. Qualitative Tools 103
7. Tools for Qualitative Research / Gerardo L. Munck 105
Qualitative Methods: A Survey of Tools 107
Defining the Universe of Cases: Context, Typologies, and Process Tracing 107
Case Selection: Dilemmas of Increasing the Number of Observations 112
Measurement and Data Collection 115
Causal Assessment in Cross-Case and Within-Case Designs 116
Beyond Strict Hypothesis Testing: Theory Generation, Reformulation, and the Iterated Assessment of Hypotheses 119
8. Turning the Tables: How Case-Oriented Research Challenges Variable-Oriented Research / Charles C. Ragin 123
Constitution of Cases 125
Study of Uniform Outcomes 128
Definition of Negative Cases 130
Examination of Multiple and Conjunctural Causes 133
Treatment of Nonconforming Cases and "Determinism" 135
9. Case Studies and the Limits of the Quantitative Worldview / Timothy J. McKeown 139
Philosophy of Science and the Logic of Research 140
DSI's Philosophy of Science 140
DSI and the Popperian View of Theory 142
A Single Logic of Research 143
Is Inference Fundamentally Quantitative? 144
Making Inferences from One or a Few Cases 146
Toward a Methodology of Intensive Research: An Alternative Logic for Case Studies 154
Understanding Existing Research 154
Cognitive Mapping 155
Game Theory Applied to Empirical Situations 156
A "Folk Bayesian" Approach 158
Heuristics for Theory Construction 162
Case Selection Heuristics 163
Thought Experiments and Counterfactuals 163
Exploiting Feedback from Observation to Design 164
Identifying Causal Processes Rather than Testing 164
IV. Linking the Quantitative and Qualitative Traditions 169
10. Bridging the Quantitative-Qualitative Divide / Sidney Tarrow 171
Challenges of Combining Qualitative and Quantitative Data 172
Tools for Bridging the Divide 173
Tracing Processes to Interpret Decisions 173
Systematic and Nonsystematic Variable Discrimination 174
Framing Qualitative Research within Quantitative Profiles 175
Putting Qualitative Flesh on Quantitative Bones 176
Sequencing Quantitative and Qualitative Research 177
Triangulation 178
11. The Importance of Research Design / Gary King, Robert O. Keohane, Sidney Verba 181
What We Tried to Do 182
Our Alleged Errors of Omission 186
Science as a Collective Enterprise 186
Lijphart: The Case Study That Broke the Pluralist Camel's Back 186
Allen: Distinguishing History from Social Science 187
The Perils of Avoiding Selection Bias 188
Katzenstein: Distinguishing Descriptive Inference from Causal Inference 189
Bates: How to Identify a Dependent Variable 190
Triangular Conclusions 191
V. Diverse Tools, Shared Standards 193
12. Critiques, Responses, and Trade-Offs: Drawing Together the Debate / David Collier, Henry E. Brady, Jason Seawright 195
Critiques and Statistical Responses 196
Doing Research That Is Important 197
The Challenge of Promoting Creativity 200
Innovative Research, Trade-Offs, and DSI's Framework 201
Conceptualization and Measurement 202
Critique 203
Statistical Response 204
Selection Bias 209
Critique 210
Statistical Response 211
Probabilistic versus Deterministic Models of Causation 213
The Statistical Responses 220
Trade-Offs in Research Design 221
Trade-Offs, Goals, and Tools 221
Trade-Offs in DSI 224
Placing Trade-Offs at the Center of Attention 224
13. Sources of Leverage in Causal Inference: Toward an Alternative View of Methodology / David Collier, Henry E. Brady, Jason Seawright 229
Experiments, Quasi-Experiments, Observational Studies, and Inferential Monsters 230
Mainstream Quantitative Methods versus Statistical Theory 233
Determinate versus Indeterminate Research Designs 236
Data Mining versus Specification Searches 238
Conditional Independence or the Specification Assumption 240
Four Approaches to the Qualitative versus Quantitative Distinction 244
Level of Measurement 245
Size of the N 245
Statistical Tests 248
Thick versus Thin Analysis 248
Drawing Together the Four Criteria 249
Cases versus Observations 250
Data-Set Observations versus Causal-Process Observations 252
Examples of Causal-Process Observations 256
Implications of Contrasting Types of Observations 258
Qualitative versus Quantitative 260
Adding Observations and Adding Variables: Consequences for the N, Degrees of Freedom, and Inferential Leverage 260
Implications for Research Design 262
Missing Data 263
Standard Quantitative Tools versus Careful Analysis of Causal-Process Observations 263
Conclusion: Drawing Together the Argument 264
Balancing Methodological Priorities: Technification and the Quest for Shared Standards 266
Appendix Data-Set Observations versus Causal-Process Observations: The 2000 U.S. Presidential Election / Henry E. Brady 267
The Option of Regression Analysis 268
Turning to Causal-Process Observations 269
Where Did Lott Go Wrong? 270.
Notes:
Includes bibliographical references (pages 315-337) and indexes.
ISBN:
0742511251
074251126X
OCLC:
54952956

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