"Improving Learning Environments" provides the first systematic comparative cross-national study of school disciplinary climates. In this volume, leading international social science researchers explore nine national case studies to identify the institutional determinants of variation in school discipline, the possible links between school environments and student achievement, as well as the implications of these findings for understanding social inequality.
As the book demonstrates, a better understanding of school discipline is essential to the formation of effective educational policies. Ultimately, to improve a school's ability to contribute to youth socialization and student internalization of positive social norms and values, any changes in school discipline must not only be responsive to behavior problems but should also work to enhance the legitimacy and moral authority of school actors.

Shanti S. Gupta has made pioneering contributions to ranking and selection theory; in particular, to subset selection theory. His list of publications and the numerous citations his publications have received over the last forty years will amply testify to this fact. Besides ranking and selection, his interests include order statistics and reliability theory. The first editor's association with Shanti Gupta goes back to 1965 when he came to Purdue to do his Ph.D. He has the good fortune of being a student, a colleague and a long-standing collaborator of Shanti Gupta. The second editor's association with Shanti Gupta began in 1978 when he started his research in the area of order statistics. During the past twenty years, he has collaborated with Shanti Gupta on several publications. We both feel that our lives have been enriched by our association with him. He has indeed been a friend, philosopher and guide to us.

Der Bilinguale Unterricht in Deutschland entwickelt sich derzeit zu einem Regelangebot. Bei dieser Entwicklung wird jedoch die sachfachliche Kompetenz in Theorie, Forschung und Praxis noch nicht im wunschenswerten Masse berucksichtigt. In der europaischen Diskussion um Content and Language Integrated Learning interessiert vor allem die fremdsprachliche Kompetenz. Die Rolle der schulischen Erstsprache sowie der Aufbau fachlicher Literalitat in zwei Sprachen werden kaum berucksichtigt. Dieser Band bilanziert die Entwicklung des Bilingualen Unterrichts. Er vereint Beitrage aus Forschung, Ausbildung und Schule, die sich aus unterschiedlichen Fachperspektiven mit seinen derzeitigen Herausforderungen befassen. Eine konzeptuelle Klarung und Weiterentwicklung des Bilingualen Unterrichts sowie der darauf bezogenen Lehrerbildung scheinen notwendig. Dazu soll dieses Buch einen Diskussionsbeitrag leisten.

The Oxford Handbook of Organizational Decision Making comprehensively surveys theory and research on organizational decision-making, broadly conceived. Emphasizing psychological perspectives, while encompassing the insights of economics, political science, and sociology, it provides coverage at the individual, group, organizational, and inter-organizational levels of analysis. In-depth case studies illustrate the practical implications of the work surveyed. Each chapter is authored by one or more leading scholars, thus ensuring that this Handbook is an authoritative reference work for academics, researchers, advanced students, and reflective practitioners concerned with decision-making in the areas of Management, Psychology, and HRM.

Decision analysis is a prescriptive theory that aids individuals or groups confronted with complex problems in a wide variety of contexts. By framing issues, identifying risks, eliciting stakeholder preferences, and suggesting alternative approaches, decision analysts can offer workable solutions in domains such as the environment, health and medicine, engineering and operations research, and public policy. This book is a mixture of historical and forward-looking essays on key topics in decision analysis. Part I covers the history and foundations of decision analysis. Part II discusses structuring decision problems, including the development of objectives and their attributes, and influence diagrams. Part III discusses probabilities and their elicitation and Bayes nets. Part IV discusses additive and multiplicative utilities, risk preferences, and 'option pricing' methods. Part V discusses risk analysis. Part VI puts decision analysis in a behavioral and organizational context. Part VII presents case studies of applications.

In Decision Space: Multidimensional Utility Analysis, first published in 2001, Paul Weirich increases the power and versatility of utility analysis and in the process advances decision theory. Combining traditional and novel methods of option evaluation into one systematic method of analysis, multidimensional utility analysis is a valuable tool. It provides formulations of important decision principles, such as the principle to maximize expected utility; enriches decision theory in solving recalcitrant decision problems; and provides in particular for the cases in which an expert must make a decision for a group of people. The multiple dimensions of this analysis create a decision space broad enough to accommodate all factors affecting an option's utility. The book will be of interest to advanced students and professionals working in the subject of decision theory, as well as to economists and other social scientists.

This highly original book aims to broaden the discussion about risk, the management of risk and regulation, especially in the financial industry. By using terms of the philosopher Jacques Derrida, Peter Pelzer employs philosophical concepts to enrich the understanding of what risk is about and what is necessarily excluded in contemporary risk management.

The concept of rationality is a common thread through the human and social sciences -- from political science to philosophy, from economics to sociology, and from management science to decision analysis. But what counts as rational action and rational behavior?
Jose Luis Bermudez explores decision theory as a theory of rationality. Decision theory is the mathematical theory of choice and for many social scientists it makes the concept of rationality mathematically tractable and scientifically legitimate.
Yet rationality is a concept with several dimensions and the theory of rationality has different roles to play. It plays an action-guiding role (prescribing what counts as a rational solution of a given decision problem). It plays a normative role (giving us the tools to pass judgment not just on how a decision problem was solved, but also on how it was set up in the first place). And it plays a predictive/explanatory role (telling us how rational agents will behave, or why they did what they did).
This controversial but accessible book shows that decision theory cannot play all of these roles simultaneously. And yet, it argues, no theory of rationality can play one role without playing the other two. The conclusion is that there is no hope of taking decision theory as a theory of rationality.

Engaging Resistance: How Ordinary People Successfully Champion Change offers an empirically based explanation that expands our understanding about the nature of resistance to organizational change and the effects of champion behavior. The text presents a new model describing how resistance occurs over time and details what change proponents can do throughout three engagement periods to effectively work with hesitant colleagues. The book's findings are illuminated by examples of six different resistance cases, embedded in the transformation sagas of two real-world organizations. A fundamental premise of this work is that resistance should not be something to avoid or squash as people work to change their organizations. In fact, resistance can be viewed as a natural, healthy part of an organic process. When engaged properly, resisters can help to improve change efforts and strengthen an organization's overall transformation.

Engaging Resistance: How Ordinary People Successfully Champion Change offers an empirically based explanation that expands our understanding about the nature of resistance to organizational change and the effects of champion behavior. The text presents a new model describing how resistance occurs over time and details what change proponents can do throughout three engagement periods to effectively work with hesitant colleagues. The book's findings are illuminated by examples of six different resistance cases, embedded in the transformation sagas of two real-world organizations. A fundamental premise of this work is that resistance should not be something to avoid or squash as people work to change their organizations. In fact, resistance can be viewed as a natural, healthy part of an organic process. When engaged properly, resisters can help to improve change efforts and strengthen an organization's overall transformation.

In the field of financial risk management, the 'sell side' is the set of financial institutions who offer risk management products to corporations, governments, and institutional investors, who comprise the 'buy side'. The sell side is often at a significant advantage as it employs quantitative experts who provide specialized knowledge. Further, the existing body of knowledge on risk management, while extensive, is highly technical and mathematical and is directed to the sell side.This book levels the playing field by approaching risk management from the buy side instead, focusing on educating corporate and institutional users of risk management products on the essential knowledge they need to be an intelligent buyer. Rather than teach financial engineering, this volume covers the principles that the buy side should know to enable it to ask the right questions and avoid being misled by the complexity often presented by the sell side.Written in a user-friendly manner, this textbook is ideal for graduate and advanced undergraduate classes in finance and risk management, MBA students specializing in finance, and corporate and institutional investors. The text is accompanied by extensive supporting material including exhibits, end-of-chapter questions and problems, solutions, and PowerPoint slides for lecturers.

Processes of collective decision making are seen throughout modern society. How does a government decide on an investment strategy within the health care and educational sectors? Should a government or a community introduce measures to combat climate change and CO2 emissions, even if others choose not too? Should a country develop a nuclear capability despite the risk that other countries may follow their lead?
This introductory text explores the theory of social choice. Social choice theory provides an analysis of collective decision making. The main aim of the book is to introduce students to the various methods of aggregating the preferences of all members of a given society into some social or collective preference. Written as a primer suitable for advanced undergraduates and graduates, this text will act as an important starting point for students grappling with the complexities of social choice theory. With all new chapter exercises this rigorous yet accessible primer avoids the use of technical language and provides an up-to-date discussion of this rapidly developing field.

Decision making is a crucial element in the field of medicine. The physician has to determine what is wrong with the patient and recommend treatment, while the patient has to decide whether or not to seek medical care, and go along with the treatment recommended by the physician. Health policy makers and health insurers have to decide what to promote, what to discourage, and what to pay for. Together, these decisions determine the quality of health care that is provided. Decision Making in Health Care, first published in 2000, is a comprehensive overview of the field of medical decision making - a rapidly expanding field that includes quantitative theoretical tools for modeling decisions, psychological research on how decisions are actually made, and applied research on how physician and patient decision making can be improved.

What is a fair distribution of resources and other goods when individuals are partly responsible for their achievements? This book develops a theory of fairness incorporating a concern for personal responsibility, opportunities and freedom. With a critical perspective, it makes accessible the recent developments in economics and philosophy that define social justice in terms of equal opportunities. It also proposes new perspectives and original ideas. The book separates mathematical sections from the rest of the text, so that the main concepts and ideas are easily accessible to non-technical readers.
It is often thought that responsibility is a complex notion, but this monograph proposes a simple analytical framework that makes it possible to disentangle the different concepts of fairness that deal with neutralizing inequalities for which the individuals are not held responsible, rewarding their effort, respecting their choices, or staying neutral with respect to their responsibility sphere. It dwells on paradoxes and impossibilities only as a way to highlight important ethical options and always proposes solutions and reasonable compromises among the conflicting values surrounding equality and responsibility.
The theory is able to incorporate disincentive problems and is illustrated in the examination of applied policy issues such as: income redistribution when individuals may be held responsible for their choices of labor supply or education; social and private insurance when individuals may be held responsible for their risky lifestyle; second chance policies; the measurement of inequality of opportunities and social mobility.

The challenges of the current financial environment have revealed the need for a new generation of professionals who combine training in traditional finance disciplines with an understanding of sophisticated quantitative and analytical tools. Risk Management and Simulation shows how simulation modeling and analysis can help you solve risk management problems related to market, credit, operational, business, and strategic risk. Simulation models and methodologies offer an effective way to address many of these problems and are easy for finance professionals to understand and use. Drawing on the author's extensive teaching experience, this accessible book walks you through the concepts, models, and computational techniques. How Simulation Models Can Help You Manage Risk More Effectively Organized into four parts, the book begins with the concepts and framework for risk management. It then introduces the modeling and computational techniques for solving risk management problems, from model development, verification, and validation to designing simulation experiments and conducting appropriate output analysis. The third part of the book delves into specific issues of risk management in a range of risk types. These include market risk, equity risk, interest rate risk, commodity risk, currency risk, credit risk, liquidity risk, and strategic, business, and operational risks. The author also examines insurance as a mechanism for risk management and risk transfer. The final part of the book explores advanced concepts and techniques. The book contains extensive review questions and detailed quantitative or computational exercises in all chapters. Use of MATLAB (R) mathematical software is encouraged and suggestions for MATLAB functions are provided throughout. Learn Step by Step, from Basic Concepts to More Complex Models Packed with applied examples and exercises,

This book covers fire and extinguishing theory and reliability theory and how to validate any survey within the field of engineering. It's based on a year's study of historical literature, using critical review and document analysis. It covers how data is collected, analyzed, and presented. It discusses reliability theory, calculation, and uncertainty analysis, and after validating proposes a new methodology and approach using general scientific value and examples. Features Includes an in-depth study on relevant sprinkler reliability studies based for the first time on critical review and document analysis Presents a scientific validating analysis of studies based on how a survey should be conducted Critiques the fact that reliability of a sprinkler system as its ability to function as designed, has never been subject to surveys Suggestions for new survey methodology that can be used for the field of engineering, including all active and passive fire protection measures Discusses extinguishing theory, general design of extinguishing systems, different systems and the reliability of them all "Reliability Data on Fire Sprinkler Systems" will be of interest to Reliability Engineers, Systems, Architecture and Engineers, Design, Maintenance, Mechanical and, Civil Engineers, as well as those working in the field of fire protection and building and fire codes.

Published with ProVention Consortium, UNDP and UN-Habitat 'This excellent book is essential reading for those concerned with urban risk and its reduction in Africa, the most rapidly urbanizing region of the world.'Professor Jo Beall, Development Studies Institute, London School of Economics 'At last a book that recognizes the impacts of disasters on Africa's 350 million urban dwellers, including the many disasters that get overlooked and go unrecorded. But also a book that, through careful case studies, shows what creates disaster risk and what local measures can be taken to address it.'David Satterthwaite, International Institute for Environment and Development (IIED).'This innovative volume combines the latest conceptualisations of urban disaster risk and vulnerability with case studies from across the African continent on how existing and innovative information can inform efforts to address the problems. Coverage ranges from the major catastrophes of news headlines to small, everyday disasters with which poor urban residents have to cope in their survival strategies. Written by international authorities and local specialists, this extremely useful book should find a place in the hands of academics and practitioners alike.'Professor David Simon, Department of Geography, Royal Holloway, University of LondonThis is a one-of-a-kind book packed with original research and offering an innovative way of thinking about the reduction of risk in rapidly urbanizing cities across the globe. It is a must-have for professionals, researchers and policy makers.The book addresses four inter-related themes critical for urban risk reduction: environment; livehood; urban governance and the generation of urban risks. Its focus is on Africa, the most rapidly urbanizing world region, but it illustrates global processes. Part one reviews development, urbanization and disaster risk in Africa as a whole, identifies state-of-the-art practices and policies for building urban resilience and provides a tool kit for urban risk reduction. It also presents a powerful conceptual framework to analyse and compare disaster risk and resilience in different cities and communities. Part two presents detailed case studies from Algeria, Ghana, Senegal, Kenya, Tanzania and South Africa illustrating vulnerability to hazards ranging from earthquake to shack fire, environmental health hazards, traffic hazards and flooding. Part three looks to the future and outlines a vision for a safer urban Africa based on achieving gains in human security through inclusive governance and investment in the creative capacities of Africa's urban dwellers.With foreword by Anna Tibaijuka, Executive Director, UN-HABITAT

Gilboa and Schmeidler provide a new paradigm for modeling decision making under uncertainty. Case-based decision theory suggests that people make decisions by analogies to past cases: they tend to choose acts that performed well in the past in similar situations, and to avoid acts that performed poorly. The authors describe the general theory and its relationship to planning, repeated choice problems, inductive inference, and learning. They highlight its mathematical and philosophical foundations and compare it to expected utility theory as well as to rule-based systems.

Gilboa and Schmeidler provide a new paradigm for modeling decision making under uncertainty. Case-based decision theory suggests that people make decisions by analogies to past cases: they tend to choose acts that performed well in the past in similar situations, and to avoid acts that performed poorly. The authors describe the general theory and its relationship to planning, repeated choice problems, inductive inference, and learning. They highlight its mathematical and philosophical foundations and compare it to expected utility theory as well as to rule-based systems.

Floods are of increasing public concern world-wide due to increasing damages and unacceptably high numbers of injuries. Previous approaches of flood protection led to limited success especially during recent extreme events. Therefore, an integrated flood risk management is required which takes into consideration both the hydrometeorogical and the societal processes. Moreover, real effects of risk mitigation measures have to be critically assessed. The book draws a comprehensive picture of all these aspects and their interrelations. It furthermore provides a lot of detail on earth observation, flood hazard modelling, climate change, flood forecasting, modelling vulnerability, mitigation measures and the various dimensions of management strategies. In addition to local and regional results of science, engineering and social science investigations on modelling and management, transboundary co-operation of large river catchments are of interest. Based on this, the book is a valuable source of the state of the art in flood risk management but also covers future demands for research and practice in terms of flood issues.

Primer on Risk Analysis: Decision Making Under Uncertainty, Second Edition lays out the tasks of risk analysis in a straightforward, conceptual manner, tackling the question, "What is risk analysis?" Distilling the common principles of many risk dialects into serviceable definitions, it provides a foundation for the practice of risk management and decision making under uncertainty for professionals from all disciplines. New in this edition is an expanded risk management emphasis that includes an overview chapter on enterprise risk management and a chapter on decision making under uncertainty designed to help decision makers use the results of risk analysis in practical ways to improve decisions and their outcomes. This book will empower you to enter the world of risk management in your own domain of expertise by providing you with practical, insightful, useful and adaptable knowledge of risk analysis science including risk management, risk assessment, and risk communication. Features: Answers the fundamental question, "What is Risk Analysis?" Presents the tasks of risk management, risk assessment, and risk communication in a straightforward, conceptual manner Responds to the continuing evolution of risk science and addresses the language of risk as it continues to evolve Expands the risk management emphasis with a new chapter to serve private industry and a growing public sector interest in the growing practice of enterprise risk management Includes a new chapter on decision making under uncertainty provides practical guidance and ideas for using risk science to improve decisions and their outcomes Features an expanded set of examples of the risk process that demonstrate the growing applications of risk analysis This book is suitable for executives, professionals and students who seek a fundamental understanding of risk management, risk assessment, and risk communication. A more detailed examination of this topic, suitable for practitioners from any discipline as well as students and professionals who aspire to become experts in the practice of risk analysis science, is found in Principles of Risk Analysis: Decision Making Under Uncertainty, Second Edition, ISBN: 978-1-138-47820-6.

This book defends the view that any adequate account of rational decision making must take a decision maker's beliefs about causal relations into account. The early chapters of the book introduce the nonspecialist to the rudiments of expected utility theory. The major technical advance offered by the book is a "representation theorem" that shows that both causal decision theory and its main rival, Richard Jeffrey's logic of decision, are both instances of a more general conditional decision theory. In providing the most complete and robust defense of causal decision theory the book will be of interest to a broad range of readers in philosophy, economics, psychology, mathematics, and artificial intelligence.

Based on the research that has been conducted at Wharton Risk Management Center over the past five years on catastrophic risk.

Covers a hot topic in the light of recent terroristic activities and nature catastrophes.

Develops risk management strategies for reducing and spreading the losses from future disasters.

Provides glossary of definitions and terms used throughout the book.

The Cold War Era left the major participants, the United States and the former Soviet Union (FSU), with large legacies in terms of both contamination and potential accidents. Facility contamination and environmental degradation, as well as the accident vulnerable facilities and equipment, are a result of weapons development, testing, and production. Although the countries face similar issues from similar activities, important differences in waste management practices make the potential environmental and health risks of more immediate concern in the FSU and Eastern Europe. In the West, most nuclear and chemical waste is stored in known contained locations, while in the East, much of the equivalent material is unconfined, contaminating the environment. In the past decade, the U.S. started to address and remediate these Cold War legacies. Costs have been very high, and the projected cost estimates for total cleanup are still increasing. Currently in Russia, the resources for starting such major activities continue to be unavailable."