The original contributions in this Handbook provide an introduction to the application of Austrian economics to law. The book begins with chapters on the methodology of law and economics before moving on to chapters which discuss key concepts in Austrian economics such as; dynamic competitive processes, spontaneous order, subjective value, entrepreneurship, and the limited nature of individual knowledge - as they relate to topics in evolutionary law and basic law. This book presents contributions from both economists and legal scholars on topics ranging from methodology of analysis and the evolution of contemporary legal practice, to the teachings of basic law. Taken as a whole, this Handbook provides a strong overview of contemporary research in the Austrian school of law and economics. It is an approach that reflects both the examination of how alternative legal arrangements impact economic performance, and how to use the tools of basic economic reasoning to study the operation of legal rules. Scholars working in the fields of law, jurisprudence, economics, and public policy will find this an important resource on the cutting edge of Austrian political economy in application to law and economics. Contributors include: B.L. Benson, P.J. Boettke, D.J. Boudreaux, H.N. Butler, E.R. Claeys, C.J. Coyne, M. DeBow, M.T. Henderson, S. Horwitz, P.G. Klein, M. Krause, T.A. Lambert, P.T. Leeson, J. Parker, G.J. Postema, S. Rajagopalan, D. Skarbek, E.P. Stringham, R.E. Wagner, T.J. Zywicki

This Handbook provides a comprehensive guide to the topical and methodological breadth and diversity of the interdisciplinary field of environmental studies. The chapters, each written by leading experts in the field, illustrate cutting-edge quantitative, qualitative and mixed methodologies used in environmental studies research. The Handbook will make an ideal primary or supplemental textbook for graduate research and methods courses. It will also be an excellent resource for environmental studies students, faculty and researchers.' - Robin Leichenko, Rutgers University, US'Usually a book with a title like this is bought by libraries, used occasionally by desperate researchers seeking a new analysis tool. This book is not like that - although between the covers you will find everything need for such emergencies. Rather this is a walk through magic and mystery of environmental science, from cultural aspects to green economy, virtual water to the latest in gaming. Buy and use it for emergencies by all means, but it's a great read too!' - Peter Bridgewater, Centre for Museums and Heritage, The Australian National University 'An up-to-date collection of methods and applications for analyzing environmental problems ranging from energy return on energy invested to international trade in virtual water and much else. The book will be of both academic and practical value to ecological economists, geographers, and environmental scientists. Highly recommended.' - Herman E. Daly, University of Maryland, US This Handbook presents methods to advance the understanding of interdependencies between the well-being of human societies and the performance of their biophysical environment. It showcases applications to material and energy use; urbanization and technological transition; economic growth and social vulnerabilities; development and governance of social and industrial networks; and the role of history, culture, and science itself in carrying out analysis and guiding policy as well as the role of theory, data, and models in guiding decisions. Unique features include: - in-depth presentation of methods and applications in environmental studies - diverse examples of research methods complemented by a wide geographic and thematic range of applications - a careful balance between a review of the state of the art in environmental studies and an exploration of new developments in research methods and applications - strong emphasis on historic, social, and cultural issues together with the life sciences needed to fully assess environmental change - accessibility to a wide readership. Academics and students interested in broadening their knowledge of methods and applications in environmental studies will find this book to be a valuable resource. It will also be of great use to practitioners in environmental agencies looking to gain an insight into particular research methods. Contributors: L. Alcada-Almeida, P. Antunes, E.B. Barbier, A.M.Bassi, C.R. Binder, R. Boyd, L.K. Campbell, J.J.T. Connolly, C. Court, L.C. Dias, A. Drachen, K. Feng, D.R. Fisher, H. Folmer, H. Ghadimi, B. Gill, S. Goessling-Reisemann, C.A.S. Hall, D. Hardy, C. Hartefeld, K. Hubacek, M.E. Ibarraran, R. Jackson, H.W. Kua, S. Locke, M. Olazabal, M. Paolisso, M. Patterson, M. Popp, D. Reckien, M. Ruth, R. Santos, R. Schoell, J. Schubert, L. Shi, S. Silva, H. Smith, K. Stave, E.S. Svendsen, C. Taiapa, D.S.K. Thomas, P. Von Mouche, N. Videira, J. Zhu, T. Zimmermann

First published in 1998. Routledge is an imprint of Taylor & Francis, an informa company.

"This is a sorely-needed book that gives an understandable introduction to one of the most important methods of communication research to students and scholars alike."

-Marshall Scott Poole, Texas A&M University

-William Evans, Georgia State University

The Content Analysis Guidebook provides readers:

• Numerous examples from across the social sciences
• Sidebars that describe innovative and wide-ranging content analysis projects, from both academia and commercial research
• Pedagogical tools in an easy to understand format

The field of strategic management has developed significantly since its birth from "business policy" and "business planning" in the 1960s. Pioneering studies were essentially normative, prescriptive, and often based on in-depth case studies. The evolution of strategic management into a respected field of academic study resulted from the adoption of research methods previously employed in economics. Today, research in strategic management is likely to employ a mixture of methods borrowed from related and unrelated disciplines, such as politcal sciences, psychology, neuroscience, and behavioral economics, which can be confusing to researchers new to the field. This book provides the reader with a broad introduction to the array of qualitative and quantitative research methods required to investigate strategic management. Throughout the book, strong emphasis is placed on practical applications that transcend the mere analysis of the theoretical roots of single research methods. The underlying result is a book that encourages and aids readers to "learn by doing" - in applying the implications of each chapter to their own research. This text is vital reading for postgraduate students and researchers focused on business strategy.

This volume is the cumulative subject index for volumes 1-32 of Experimental Methods in Physical Sciences.

A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data that are the foundation of their research. Kristin Briney offers practical advice and clearly explains policies and principles, in an accessible and in-depth text that will allow researchers to understand and achieve the goal of better research data management. Data Management for Researchers includes sections on: * The data problem - an introduction to the growing importance and challenges of using digital data in research. Covers both the inherent problems with managing digital information, as well as how the research landscape is changing to give more value to research datasets and code. * The data lifecycle - a framework for data's place within the research process and how data's role is changing. Greater emphasis on data sharing and data reuse will not only change the way we conduct research but also how we manage research data. * Planning for data management - covers the many aspects of data management and how to put them together in a data management plan. This section also includes sample data management plans. * Documenting your data - an often overlooked part of the data management process, but one that is critical to good management; data without documentation are frequently unusable. * Organizing your data - explains how to keep your data in order using organizational systems and file naming conventions. This section also covers using a database to organize and analyze content. * Improving data analysis - covers managing information through the analysis process. This section starts by comparing the management of raw and analyzed data and then describes ways to make analysis easier, such as spreadsheet best practices. It also examines practices for research code, including version control systems. * Managing secure and private data - many researchers are dealing with data that require extra security. This section outlines what data falls into this category and some of the policies that apply, before addressing the best practices for keeping data secure. * Short-term storage - deals with the practical matters of storage and backup and covers the many options available. This section also goes through the best practices to insure that data are not lost. * Preserving and archiving your data - digital data can have a long life if properly cared for. This section covers managing data in the long term including choosing good file formats and media, as well as determining who will manage the data after the end of the project. * Sharing/publishing your data - addresses how to make data sharing across research groups easier, as well as how and why to publicly share data. This section covers intellectual property and licenses for datasets, before ending with the altmetrics that measure the impact of publicly shared data. * Reusing data - as more data are shared, it becomes possible to use outside data in your research. This chapter discusses strategies for finding datasets and lays out how to cite data once you have found it. This book is designed for active scientific researchers but it is useful for anyone who wants to get more from their data: academics, educators, professionals or anyone who teaches data management, sharing and preservation. "An excellent practical treatise on the art and practice of data management, this book is essential to any researcher, regardless of subject or discipline." -Robert Buntrock, Chemical Information Bulletin

International Perspectives on Theorizing Aspirations offers new insights and guidance for those looking to use Bourdieu's tools in an educational context, with a focus on how the tools can be applied to issues of aspiration. Written by contributors from the UK, USA, Australia, Nigeria, Jamaica and Spain, the book explores how Bourdieu's tools have been applied in recent cutting-edge educational research on a range of topics, including widening participation, migration, ethnicity, and class. The contributors consider how aspirations are theorized in sociology, as well as exploring the structure/agency debates, before recapitulating Bourdieu's tools and their applicability in educational contexts. A key question running through the chapters is: how does social theory shape research? Including recommended readings, this is essential reading for anyone looking to use Bourdieu in their research and for those studying aspiration in an educational research setting.

Traditional methods of viewing the world through the scientific method or instrumental knowledge do not adequately serve the needs of theory, research, and practice within an increasingly complex world. Through transdisciplinary theory, the focus is on a new form of learning and problem solving involving cooperation among different parts of society to meet the complex challenges of society. The Handbook of Research on Transdisciplinary Knowledge Generation is a critical scholarly resource that examines mutual learning across disciplinary lines as a strategy by which to understand the world and apply practical knowledge. Featuring a wide array of topics such as linguistic diversity, medical education, and social constructivism, this book is essential for educational professionals, researchers, students, administrators, and academicians.

One of the great successes of the law and economics movement has been the use of economic models to explain the structure and function of broad areas of law. The original contributions to this volume epitomize that tradition, offering state-of-the-art research on the many facets of economic modeling in law.The contributors employ a variety of economic methodologies to explore a wide range of topics, including torts, contracts, property, crime, employment, the environment, and legal procedure. This depth and breadth of scholarship reflect the continuing vitality of the economic approach to law, offering an illuminating look into the future of the field and providing inspiration and guidance for the next generation of theorists. This timely volume will appeal to students, professors and researchers in both law and economics, particularly those with an interest in the theoretical and practical intersections of the two fields. Contributors: L. Anderlini, M. Baker, F. Baumann, J. De Mot, B. Deporter, D. Dharmapala, W. Emons, L. Felli, C. Fluet, T. Friehe, N. Garoupa, Z. Grossman, S. Izmalkov, C. Landeo, R. McAdams, T. Miceli, M.Nikitin, J. Pincus, A. Postlewaite, R. Rabon, G. Ramello, K. Segerson, P. Shapiro, T. Tsvetanov, T. Ulen, N. Westelius, A. Wickelgren

There is increasing pressure on academics and graduate students to publish in peer reviewed journals, but many students and researchers who are new to quantitative methods struggle to write up statistics in reports, theses and journal articles. This book is an accessible reference text aimed at helping people write about quantitative research in applied linguistics, focusing mainly on writing for journals. Different types of statistical analysis are explained in detail along with annotated examples drawn from published and unpublished sources. The book offers advice on academic writing, how and where to get research published, and recommends additional resources helpful for both students and seasoned researchers.

This edited two-volume collection presents the most interesting and compelling articles pertaining to the formulation of research methods used to study information systems from the 30 year publication history of the Journal of Information Technology (JIT).

The nature and purpose of legal education has become a topic of intense debate in recent years. This timely book calls for a critical re-evaluation of university legal education, with the particular aim of strengthening its academic nature. The contributors emphasise lecturers' responsibility to challenge the assumptions students have about law, and the importance of putting law in a theoretical and social context that allows for critical reflection and sceptical detachment. In addition, the book reports upon teaching experiences and innovations, offering tools for teachers to strengthen the academic nature of legal education, and concludes with concrete proposals for change. Students and scholars engaged in the debate regarding the re-evaluation of academic legal education will find this book invaluable to their work. It will also be of interest to practitioners, such as educational experts and administrators looking to understand the role of law schools in creating responsible citizens. Contributors include: T. Bleeker, A. Boening, L. Corrias, U. de Vries, M. Del Mar, L. Francot, S. Germain, T. Hutchinson, B. Oomen, C. Schwoebel-Patel, B. Sokhi-Bulley, G. Uygur, B. van Klink, W. van Rossum

In the revised and updated second edition of The Tone of Teaching, bestselling author Max van Manen defines sound pedagogy as the ability to distinguish effectively between what is appropriate, and what is less appropriate in our communications and dealings with children and young people as parents and educators. The author: -Shows how tactful educators develop a caring attentiveness to the unique; to the uniqueness of children, and to the uniqueness of their individual lives-Describes how this "tone" of teaching can be sustained by the cultivation of a certain kind of seeing, listening, and responding to each child in each particular situation-Offers practical insights for both educators and parents

Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at the University of Nevada, the book's clear explanations of the underlying assumptions, computer simulations, and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of the techniques. The underlying assumptions of each test and the factors that impact validity and statistical power are reviewed so readers can explain their assumptions and how tests work in future publications. Numerous examples from psychology, education, and other social sciences demonstrate varied applications of the material. Basic statistics and probability are reviewed for those who need a refresher.Mathematical derivations are placed in optional appendices for those interested in this detailed coverage. Highlights include: Unique coverage of categorical and nonparametric statistics better prepares readers to select the best technique for their particular research project but some chapters can be omitted entirely if preferred.Step by step examples of each test help readers see how the material is applied in a variety of disciplines. Although the book can be used with any program, examples of how to use the tests in SPSS & EXCEL foster conceptual understanding. Exploring the concept boxes integrated throughout prompt students to review key material and draw links between the concepts to deepen understanding. Problems in each chapter help readers test their understanding of the material. Emphasizes selecting tests that maximize power to help readers avoid marginally significant results. Website featuring datasets for the book's examples and problems, and for the instructor Power Points, author's course syllabus, and answers to the even numbered problems. Chapters 1-3 cover basic concepts in probability, especially the binomial formula followed by two chapters that address the analysis of contingency tables. Chapters 6-8 address nonparametric tests involving at least one ordinal variable, including testing for nonparametric interaction effects, a topic omitted from other texts. The book then turns to situations that involve one metric variable.Chapter 9 reviews concepts that are foundational to CDA, including linear regression and generalized linear models. Chapters 10-11 cover logistic, ordinal, and Poisson regression. Chapters 12 and 13 review loglinear models and the General Estimating Equations (GEE) methodology for measuring outcomes from multiple time points. For a deeper understanding of how various CDA techniques work, chapter 14 covers estimation methods, such as Newton-Raphson and Fisher scoring. The book concludes with a summary of factors that need to be considered when choosing the best statistical technique. Intended for individual or combined graduate or advanced undergraduate courses in categorical and nonparametric data analysis, cross-classified data analysis, advanced statistics and/or quantitative techniques taught in psychology, education, human development, sociology, political science, and other social and life sciences, the book also appeals to researchers in these disciplines. The nonparametric chapters can be deleted if preferred. Prerequisites include knowledge of t-tests and ANOVA.

This book emphasizes that artificial or pseudo-populations play an important role in statistical surveys from finite universes in two manners: firstly, the concept of pseudo-populations may substantially improve users' understanding of various aspects in the sampling theory and survey methodology; an example of this scenario is the Horvitz-Thompson estimator. Secondly, statistical procedures exist in which pseudo-populations actually have to be generated. An example of such a scenario can be found in simulation studies in the field of survey sampling, where close-to-reality pseudo-populations are generated from known sample and population data to form the basis for the simulation process. The chapters focus on estimation methods, sampling techniques, nonresponse, questioning designs and statistical disclosure control. This book is a valuable reference in understanding the importance of the pseudo-population concept and applying it in teaching and research.

This edited two-volume collection presents the most interesting and compelling articles pertaining to the formulation of research methods used to study information systems from the 30-year publication history of the Journal of Information Technology .

The fields of insurance law and insurance economics have long and distinguished scholarly histories, but participants in the two disciplines have not always communicated well across academic silos. This Handbook encourages more policy-relevant insurance economics scholarship and more economically sophisticated legal scholarship by bringing together original contributions from leading scholars in both fields. The benefits of this inter-disciplinary approach are introduced and illustrated in four comprehensive sections: - Why and how do individuals purchase insurance? - The role of the state in insurance markets - The regulation of insurance - Insurance law in the courts. Overall, this Handbook synthesizes the insights of insurance economics with the flourishing body of economically oriented research in insurance law. As well as providing a new approach for scholars, the Handbook will prove a useful reference for insurance lawyers and insurance regulators owing to its policy relevant, practical approach. Contributors: K.S. Abraham, D. Asmat, R. Avraham, T. Baker, E.F. Brown, P.-A. Chiappori, M.F. Grace, S.E. Harrington, D. Jaffee, R.W. Klein, H.C. Kunreuther, J. Kwak, K.D. Logue, J.A. Nyman, M.V. Pauly, D. Schwarcz, P. Siegelman, C. Silver, R. Squire, S. Tennyson

• First book that considers research methods within the luxury context. • Each aspect is supported by real-life case studies and examples from international luxury brands. • Pedagogy to aid learning is integrated throughout, including review challenges and problem-solving exercises. • Supplemented by online resources, including chapter-by-chapter PowerPoint slides.

There is no singular 'best' method of research. The differing nature of various research endeavors warrant multiple ways of generating knowledge, sharing knowledge, and more importantly, avoiding errors. More recently, the dichotomy between quantitative and qualitative approaches has begun to dissolve as the integrated approach of mixed methods gains popularity. Scholarly Publishing and Research Methods Across Disciplines is a collection of innovative findings on the methods and applications of research in scholarly publishing, ranging from the analyzation of mixed methods and qualitative/quantitative research, to Dewey's scientific method and more. Highlighting a range of topics including higher education, digital divide, and model development, this publication applies a cross-disciplinary viewpoint that will appeal to researchers, graduate students, academicians, librarians, scholars, and industry-leading experts around the globe seeking an understanding of the limitations and strengths in research techniques.