Abstract: Political Science Methodology – Normative Methodology – Meta-Methodology: Clearing the Underbrush – Agent-Based Modeling – Concepts, Theories, and Numbers: A Checklist for Constructing, Evaluating, and Using Concepts or Quantitative Measures – Measurement – Typologies: Forming Concepts and Creating Categorical Variables – Measurement Versus Calibration: A Set-Theoretic Approach – The Evolving Influence of Psychometrics in Political Science – Causation and Explanation in Social Science – The Neyman— Rubin Model of Causal Inference and Estimation Via Matching Methods – On Types of Scientific Enquiry: the Role of Qualitative Reasoning – Studying Mechanisms To Strengthen Causal Inferences In Quantitative Research – Experimentation in Political Science – Field Experiments and Natural Experiments – Survey Methodology – Endogeneity and Structural Equation Estimation in Political Science – Structural Equation Models – Time-Series Analysis – Time-Series Cross-Section Methods – Bayesian Analysis – Discrete Choice Methods – Survival Analysis – Cross-Level/Ecological Inference – Empirical Models of Spatial Inter-Dependence – Multilevel Models – Counterfactuals and Case Studies – Case Selection for Case-Study Analysis: Qualitative and Quantitative Techniques – Interviewing and Qualitative Field Methods: Pragmatism and Practicalities – Process Tracing: a Bayesian Perspective – Case-Oriented Configurational Research: Qualitative Comparative Analysis (QCA), Fuzzy Sets, and Related Techniques – Comparative-Historical Analysis in Contemporary Political Science – Integrating Qualitative and Quantitative Methods – Qualitative and Multimethod Research: Organizations, Publication, and Reflections on Integration – Quantitative Methodology – Forty Years of Publishing in Quantitative Methodology – The EITM Approach: Origins and Interpretations

Keywords: interdependence, measurement, methodology, political science