Gary Goertz – författare

A fully revised edition of the classic reference on concepts and their role in social science researchSocial Science Concepts and Measurement offers an updated look at the theory and methodology of concepts for the social sciences. Emphasizing that most concepts are multilevel and multidimensional, this revised edition continues to bring the qualitative and quantitative closer together, with new chapters devoted to scaling, aggregation, and the methodological links between the semantics of concepts and numeric measures. In addition, it stresses that concepts are used for description and causal inference, and contain normative judgments.Initial chapters focus on conceptualization, followed by chapters on issues of measurement. The textbook examines concepts in the international arena (such as the global performance indicators used by international organizations like the UN and the World Bank), as well as classic paired concepts such as poverty and wealth, democracy and authoritarianism, and war and peace. Additionally, it explores such topics as typologies, hybrid concepts, and how complex concepts constitute complex theories. The volume serves as a guide to the methodology of concepts in the classroom and is accompanied by more than two hundred exercises. Social Science Concepts and Measurement is an indispensable resource for graduate students and scholars.

This edited volume focuses on the use of ‘necessary condition counterfactuals’ in explaining two key events in twentieth century history, the origins of the First World War and the end of the Cold War.

Containing essays by leading figures in the field, this book analyzes the causal logics of necessary and sufficient conditions, demonstrates the variety of different ways in which necessary condition counterfactuals are used to explain the causes of individual events, and identifies errors commonly made in applying this form of causal logic to individual events. It includes discussions of causal chains, contingency, critical junctures, and ‘powder keg’ explanations, and the role of necessary conditions in each.

Explaining War and Peace will be of great interest to students of qualitative analysis, the First World War, the Cold War, international history and international relations theory in general.

This edited volume focuses on the use of ‘necessary condition counterfactuals’ in explaining two key events in twentieth century history, the origins of the First World War and the end of the Cold War.

Containing essays by leading figures in the field, this book analyzes the causal logics of necessary and sufficient conditions, demonstrates the variety of different ways in which necessary condition counterfactuals are used to explain the causes of individual events, and identifies errors commonly made in applying this form of causal logic to individual events. It includes discussions of causal chains, contingency, critical junctures, and ‘powder keg’ explanations, and the role of necessary conditions in each.

Explaining War and Peace will be of great interest to students of qualitative analysis, the First World War, the Cold War, international history and international relations theory in general.

This book charts the incidence of territorial changes and military conflicts from 1816 to 1980. Using statistical and descriptive analysis, the authors attempt to answer three related sets of questions:

* When does military conflict accompany the process of national independence?

* When do states fight over territorial changes and when are such transactions completed peacefully?

* How do territorial changes affect future military conflict between the states involved in the exchange?

This book charts the incidence of territorial changes and military conflicts from 1816 to 1980. Using statistical and descriptive analysis, the authors attempt to answer three related sets of questions:

* When does military conflict accompany the process of national independence?

* When do states fight over territorial changes and when are such transactions completed peacefully?

* How do territorial changes affect future military conflict between the states involved in the exchange?

Some in the social sciences argue that the same logic applies to both qualitative and quantitative methods. In A Tale of Two Cultures, Gary Goertz and James Mahoney demonstrate that these two paradigms constitute different cultures, each internally coherent yet marked by contrasting norms, practices, and toolkits. They identify and discuss major differences between these two traditions that touch nearly every aspect of social science research, including design, goals, causal effects and models, concepts and measurement, data analysis, and case selection. Although focused on the differences between qualitative and quantitative research, Goertz and Mahoney also seek to promote toleration, exchange, and learning by enabling scholars to think beyond their own culture and see an alternative scientific worldview. This book is written in an easily accessible style and features a host of real-world examples to illustrate methodological points.

An innovative and accessible textbook on multimethod and case-study researchMultimethod 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.