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Understanding political science research methods : the challenge of inference
Éditeur Taylor and Francis
Année 2013
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Understanding political science research methods[Ressource électronique] : the challenge of inference
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Understanding political science research methods the challenge of inference 2014, cop. 2014
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Description d'après la consultation, 2014-09-25
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Le document a été imprimé en 2014 chez Routledge
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Cover; Title; Copyright; Dedication; Contents; Preface; Acknowledgments; Introduction; The Role of the Logic of Inference in Political Science Research; The Challenge of Inference and the Advancement of Knowledge; Previewing a Few Principles Intrinsic to Meeting the Challenge of Inference; The Plan of the Book; Key Terms; SECTION I Establishing the Framework; 1 The Challenge of Inference; Three Additional Examples; Some Basic Terminology; What Is an Inference?; The Challenge of Inference; The Importance of Theory; Summarizing Common Threats to Inference; Evaluating Inferences; Key Terms ; Appendix: A Personal Example of the Challenges of Inference2 The Research Question; What Makes for a Good Research Question?; Beginning the Research Process: What Do You Want to Know?; What Do Scholars Already Know? The Core of a Research Question: What Is the Controversy, Debate, or Puzzle?; Keeping the Big Picture in Mind: Other Factors to Consider as You Refine Your Question. How Will You Execute the Study?; Summing Up: Th e Research Question; Key Terms; 3 Linking Theory and Inference; What Is Theory? Why Are Th eories So Important and So Valuable?; What Characterizes a Good Theory? ; Incorporating Theory into Your Study: the Literature ReviewTwo Examples of Theory Building; Taking Alternative Theories Seriously: What Do You Do When Your Theories and Hypotheses Don't Match Your Findings?; Summing Up: Theory and Inference; Key Terms; SECTION II A Menu of Approaches; 4 The Challenge of Descriptive Inference; Conceptualization; Different Types of Data; Operationalization and Measurement Error; Operationalization and Sampling Error; Making Descriptive Inferences and Presenting Data; Summing Up; Key Terms; 5 Experiments; What Is an Experiment? ; Why Control Means Stronger InferencesTypes of Experiments; Designing the Experiment; Analyzing and Presenting Results from an Experiment; Avoiding Mistakes in Your Experiment; Natural Experiments; Conclusion; Key Terms; 6 Large-n Observational Studies; The Logic of Large-n Studies: a Means Comparison; Multivariate Linear Regression; Tools for Categorical Data: Cross-Tabulation and Logistic Regression; Reverse-Causality and Longitudinal Analysis; Conducting Your Own Large-n Study; Conclusion; Key Terms; 7 Small-n Observational Studies ; Mimicking Experiments through a "Most Similar Systems Design"Other Approaches with Other Objectives; Tools of the Trade in Qualitative Research; Designing Small-n Research Studies; Conclusion; Key Terms; 8 Conclusion; Developing Skills in the Approach You Choose; Considering a Multi-Method (or Mixed-Method) Approach; You've Completed Your Study, So Now What?; Above All Else: Remember the Challenge of Inference; Key Terms; Index
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