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Multilevel Analysis
The Second Edition of this classic text introduces the main methods, techniques and issues involved in carrying out multilevel modeling and analysis. Snijders and Bosker′s book is an applied, authoritative and accessible introduction to the topic, providing readers with a clear conceptual and practical understanding of all the main issues involved in designing multilevel studies and conducting multilevel analysis. This book provides step-by-step coverage of: • multilevel theories • ecological fallacies • the hierarchical linear model • testing and model specification • heteroscedasticity • study designs • longitudinal data • multivariate multilevel models • discrete depen...
Multilevel Network Analysis for the Social Sciences
This volume provides new insights into the functioning of organizational, managerial and market societies. Multilevel analysis and social network analysis are described and the authors show how they can be combined in developing the theory, methods and empirical applications of the social sciences. This book maps out the development of multilevel reasoning and shows how it can explain behavior, through two different ways of contextualizing it. First, by identifying levels of influence on behavior and different aggregations of actors and behavior, and complex interactions between context and behavior. Second, by identifying different levels as truly different systems of agency: such levels of...
A Research Agenda for Social Networks and Social Resilience
This cutting-edge Research Agenda demonstrates how social network analysis can be used to address problems of social resilience and advance knowledge and policy intervention in the face of the existential crises that threaten our contemporary societies. This title contains one or more Open Access chapters.
Essays on Item Response Theory
This collection of papers provides an up to date treatment of item response theory, an important topic in educational testing.
Multilevel Analysis
Multilevel analysis covers all the main methods, techniques and issues for carrying out multilevel modeling and analysis. The approach is applied, and less mathematical than many other textbooks.
The Handbook of Rational Choice Social Research
The Handbook of Rational Choice Social Research offers the first comprehensive overview of how the rational choice paradigm can inform empirical research within the social sciences. This landmark collection highlights successful empirical applications across a broad array of disciplines, including sociology, political science, economics, history, and psychology. Taking on issues ranging from financial markets and terrorism to immigration, race relations, and emotions, and a huge variety of other phenomena, rational choice proves a useful tool for theory- driven social research. Each chapter uses a rational choice framework to elaborate on testable hypotheses and then apply this to empirical research, including experimental research, survey studies, ethnographies, and historical investigations. Useful to students and scholars across the social sciences, this handbook will reinvigorate discussions about the utility and versatility of the rational choice approach, its key assumptions, and tools.
Measuring Crime and Criminality
Measuring Crime and Criminality focuses on how different approaches to measuring crime and criminality are used to test existing criminological theories. Each chapter reviews a key approach for measuring criminal behaviour and discusses its strengths or weaknesses for explaining the facts of crime or answers to central issues of criminological inquiry. The book describes the state of the field on different approaches for measuring crime and criminality as seen by prominent scholars in the field. Among the featured contributions are: The Use of Official Reports and Victimization Data for Testing Criminological Theories; The Design and Analysis of Experiments in Criminology; and Growth Curve/M...
Handbook of Multilevel Analysis
This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioral sciences and in the biomedical sciences. The chapter authors are all leading experts in the field. Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, this book is essential for empirical researchers in these fields.
