Revised edition of the author's Social science concepts, c2006.

To develop theories and research designs requires concepts. Gary Goertz provides advice on the construction and use of social science concepts and their use in case selection and theories. He also cites examples from political science and sociology to illustrate the theoretical and practical issues of concept construction and use.

Which types of validity evidence should be considered when determining whether a scale is appropriate for a given measurement situation? What about reliability evidence? Using clear explanations illustrated by examples from across the social and behavioral sciences, this engaging text prepares students to make effective decisions about the selection, administration, scoring, interpretation, and development of measurement instruments. Coverage includes the essential measurement topics of scale development, item writing and analysis, and reliability and validity, as well as more advanced topics such as exploratory and confirmatory factor analysis, item response theory, diagnostic classification models, test bias and fairness, standard setting, and equating. End-of-chapter exercises (with answers) emphasize both computations and conceptual understanding to encourage readers to think critically about the material. ÿ

A fully revised edition of the classic reference on concepts and their role in social science research Social 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.

"Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--

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.

This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.