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Multimethod Research, Causal Mechanisms, and Case Studies

An Integrated Approach

Gary Goertz

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Princeton University Press img Link Publisher

Sozialwissenschaften, Recht, Wirtschaft / Methoden der empirischen und qualitativen Sozialforschung

Beschreibung

An innovative and accessible textbook on multimethod and case-study research

Multimethod research has become indispensable to doing social science, and is essential to anyone who conducts large-scale research projects in political science, sociology, education, comparative law, or business. This authoritative and accessible book offers the first truly comprehensive approach to multimethod and case-study research, and is particularly aimed at students of qualitative methods in the social sciences.

Walking step-by-step through these cutting-edge tools and techniques, Gary Goertz introduces a new integrated approach that unites three corners of a powerful research triad—causal mechanisms, cross-case causal inference, and within-case causal inference. He explains how the investigation of causal mechanisms and the making of within-case causal inference are the central goals of multimethod and case study research, and provides a logic for connecting case studies and causal mechanism analysis with cross-case analysis, whether they are statistical analyses, experiments, or QCA. In addition, Goertz analyzes how one can generalize using case studies, as well as systematically test game-theoretic and other models using multiple case studies.

  • Provides a fully integrated approach to multimethod and case-study research
  • An essential resource for students and researchers in political science, sociology, education, law, and business
  • Covers constraint causal mechanism, game theory and case studies, QCA, and the use of case studies to systematically test and generalize theories
  • An ideal textbook for a first-year graduate course in methods or research design

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Schlagwörter

Logit, Control variable, Statistics, Fuzzy logic, Process tracing, Explanation, Causality, Observational study, Selection bias, Princeton University Press, Regression analysis, Great power, External validity, Comparative historical research, Consideration, Measurement, Principle, Qualitative research, Percentage, Statistic, Estimation, Counterexample, International relations, Causal inference, Institution, States and Social Revolutions, Equifinality, Inference, Literature, Logic, Overdetermination, Terminology, Collinearity, Result, Wealth, Comparative politics, Scholarly method, Political science, Addition, Additive model, Social constructivism, Variable (mathematics), Qualitative comparative analysis, Ideology, Hypothesis, Subset, Democratization, Illustration, Surveying, Social science, Guideline, Theory, Statistical significance, Oxford University Press, Suggestion, Methodology, Trade-off, Causal model, Data set, Pairwise comparison, Philosophy, Probability, Authoritarianism, Prediction, Economist, Causal chain, Requirement, Case study, Confounding, Randomized experiment