80 books match the query 'foundations' and 4 start with c

cover of Causal Case Study Methods: Foundations and Guidelines for Comparing, Matching, and Tracing

Causal Case Study Methods

Foundations and Guidelines for Comparing, Matching, and Tracing

Derek Beach and Rasmus Brun Pedersen

University of Michigan Press, 2016

In this comprehensive reconstruction of causal case study methods, Derek Beach, Rasmus Brun Pedersen, and their coauthors delineate the ontological and epistemological differences among these methods, offer suggestions for determining the appropriate methods for a given research project, and explain the step-by-step application of selected methods.

Causal Case Study Methods begins with the cohesive, logical foundations for small-n comparative methods, congruence methods, and process tracing, then delineate the distinctive types of causal relationships for which each method is appropriate. Next, the authors provide practical instruction for deploying each of the methods individually and in combination. They walk the researcher through each stage of the research process, starting with issues of concept formation and the formulation of causal claims in ways that are compatible with case-based research. They then develop guidelines for using Bayesian logic as a set of practical questions for translating empirical data into evidence that may or may not confirm causal inferences.

Widely acclaimed instructors, the authors draw upon their extensive experience at the graduate level in university classrooms, summer and winter school courses, and professional workshops, around the globe.

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cover of Chaos Theory in the Social Sciences: Foundations and Applications

Chaos Theory in the Social Sciences

Foundations and Applications

L. Douglas Kiel and Euel Elliott, Editors

University of Michigan Press, 1997

Chaos Theory in the Social Sciences: Foundations and Applications offers the most recent thinking in applying the chaos paradigm to the social sciences. The book explores the methodological techniques--and their difficulties--for determining whether chaotic processes may in fact exist in a particular instance and examines implications of chaos theory when applied specifically to political science, economics, and sociology. The contributors to the book show that no single technique can be used to diagnose and describe all chaotic processes and identify the strengths and limitations of a variety of approaches.
The essays in this volume consider the application of chaos theory to such diverse phenomena as public opinion, the behavior of states in the international arena, the development of rational economic expectations, and long waves.
Contributors include Brian J. L. Berry, Thad Brown, Kenyon B. DeGreene, Dimitrios Dendrinos, Euel Elliott, David Harvey, L. Ted Jaditz, Douglas Kiel, Heja Kim, Michael McBurnett, Michael Reed, Diana Richards, J. Barkley Rosser, Jr., and Alvin M. Saperstein.
L. Douglas Kiel and Euel W. Elliott are both Associate Professors of Government, Politics, and Political Economy, University of Texas at Dallas.
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cover of Critique of the Political Economy of the Media: Foundations and Applications

Critique of the Political Economy of the Media

Foundations and Applications

Manfred Knoche

University of Westminster Press, 2025

Critique of the Political Economy of the Media is an approach to the critical analysis of the media’s role in contemporary society. It is based on Karl Marx’s theory of capitalism, using a combination of critical social theory and empirical social research for studying what role the media has in capitalism.

It introduces a theoretical framework that engages with important themes including the crisis-ridden structural transformation of the media industry, media economics in the age of digital communications, media concentration, science communication and open access publishing, media technologies, the role of advertising in capitalism, and the contradictions of alternative media in capitalism.

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cover of Cryptography for Intelligent Healthcare Systems: Foundations and emerging architectures, Volume 1

Cryptography for Intelligent Healthcare Systems

Foundations and emerging architectures, Volume 1

Agbotiname Lucky Imoize

The Institution of Engineering and Technology, 2026

Intelligent healthcare systems refer to the use of technologies, such as IoT, big data, AI, and machine learning, to improve the quality and efficiency of healthcare delivery. Healthcare data is both valuable and sensitive, and patients' data is increasingly at risk from cyber attacks on medical devices and critical healthcare infrastructure, posing serious risks to patient health and safety or compromising sensitive user data. As healthcare provision relies upon numerous interconnected systems, to facilitate the diagnosis or treatment of patients' health conditions, these systems rely on advanced cryptography to secure and protect sensitive user information.
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