"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

This book constitutes a valuable manual for young and seasoned business researchers alike, and provides a comprehensive summary for the whole research journey. It is a must-read for all researchers who need to understand the basics of business research, from identifying research topics, to planning and organizing the research process, and selecting the most appropriate methodology for the topic at hand. This book also provides insights on how to avoid common pitfalls in business research and outlines the research skills needed to write a fine piece of research. In order to capture the innovative element of research, the book also highlights methods for thinking outside the box. It also stresses the importance of respecting ethics while conducting business research. Lastly, it presents important cases and provides hands-on training for preparing survey tools. Readers looking to master business research won't want to miss out on this unique and insightful book.

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

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.

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 brings together experts in the field of leadership to provide insights into methods for leadership research. It serves to motivate them to use new research methods to further our knowledge of the leadership field. Illustrating novel approaches to research with sample questions and applications to the field of leadership, this comprehensive and accessible Handbook covers key methodologies in leadership research today, as well as introducing methods that will be invaluable in the future. With chapters written by established leadership scholars, the Handbook of Methods in Leadership Research is arranged to cover three core areas of research: measurement and design, quantitative analytic approaches, and qualitative analytic approaches. The book provides an accessible overview and starting point to discover new methods. All chapters are well researched and provide references for those who want to delve deeper into the topics covered. The volume ends with a summary of tips for each method presented. This book will be an indispensable resource for leadership students, scholars, and practitioners alike, to inspire their future research but also to support their understanding of the quality of research carried out by others. Contributors: C.-H. Chang, S.H. Chong, A.R. Cook, A.J. Dixon, E. Djurdjevic, R.J. Foti, V. Gochmann, J. Gooty, R.J. Hall, R. Ilies, R.E. Johnson, M. Jokisaari, R.B. Kline, M. Lewis, W.-D. Li, R.G. Lord, M.E. McCusker, B. Meyer, P. Neves, S. Ohly, M. Pina e Cunha, A. Rego, E.F. Rietzschel, D. Rus, J. Schilling, B. Schyns, W.K. Smith, S. Trichas, W. Wang, J.M. Webb, B. Wisse, F.J. Yammarino

Global Mobility of Research Scientists: The Economics of Who Goes Where and Why brings together information on how the localization and mobility of academic researchers contributes to the production of knowledge. The text answers several questions, including "what characterizes nationally and internationally mobile researchers?" and "what are the individual and social implications of increased mobility of research scientists?" Eight independent, but coordinated chapters address these and other questions, drawing on a set of newly developed databases covering 30 countries, including the US, the UK, France, Germany, Italy, Japan, Russia, and China, among others.

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.

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.

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.

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

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).

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.

Understanding Research in Early Childhood Education: Quantitative and Qualitative Methods prepares readers to be informed consumers of early childhood research. Rather than following the traditional format of covering quantitative and qualitative methods separately, this innovative textbook offers side-by-side coverage and comparison about the assumptions, questions, purposes and methods for each, offering unique perspectives for understanding young children and early care and education programs. Understanding Research in Early Childhood Education is broadly based across the major research paradigms, and numerous examples are offered throughout the text. Through the use of this book, students will be able to more knowledgeably read, evaluate, and use empirical literature. These skills are becoming more important as early childhood educators are increasingly expected to use evidence-based research in practice and to participate in collecting and analyzing data to inform their teaching.

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 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

This book walks you through learning probability and statistics from a Bayesian point of view. From an introduction to probability theory through to frameworks for doing rigorous calculations of probability, it discusses Bayes' Theorem before illustrating how to use it in a variety of different situations with data addressing social and psychological issues. The book also: Equips you with coding skills in the statistical modelling language Stan and programming language R. Discusses how Bayesian approaches to statistics compare to classical approaches. Introduces Markov Chain Monte Carlo methods for doing Bayesian statistics through computer simulations, so you understand how Bayesian solutions are implemented. Features include an introduction to each chapter and a chapter summary to help you check your learning. All the examples and data used in the book are also available in the online resources so you can practice at your own pace. For readers with some understanding of basic mathematical functions and notation, this book will get you up and running so you can do Bayesian statistics with confidence.

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.