In many international settings, developing economies are in danger of declining as the digital divide becomes the knowledge divide. This decline attacks the very fabric of cohesion and purpose for these regional societies delivering increased social, health, economic and sustainability problems. The examples in this book will provide leaders, policy developers, researchers, students and community with successful strategies and principles of ICT use in education to address these needs. This book will discuss how educational technology can be used to transform education and assist developing communities to close the knowledge divide. It will provide comprehensive coverage of educational technology in development in different professions and parts of world. The book will provide examples of best practice, case studies and principles for educators, community leaders, researchers and policy advisers on the use of educational technology for development. In particular, it will provide examples of how education can be provided more flexibly in order to provide access to hitherto disadvantaged communities and individuals.

Due to changes in funding and legislation, educating as a career has become unstable. It is imperative to establish a culture that values education in order to encourage pursuing and preserving the profession of teaching. Advocacy in Academia and the Role of Teacher Preparation Programs is an essential reference source for the latest scholarly research on the need of support for students and faculty by examining policy, student engagement, professorial activism, and integrated allied services. Featuring extensive coverage on a broad range of topics such as student success, specialty programs, and service learning, this publication is ideally designed for academicians, researchers, and practitioners seeking current research on issues of advocacy in education.

This is the first textbook that allows readers who may be unfamiliar with matrices to understand a variety of multivariate analysis procedures in matrix forms. By explaining which models underlie particular procedures and what objective function is optimized to fit the model to the data, it enables readers to rapidly comprehend multivariate data analysis. Arranged so that readers can intuitively grasp the purposes for which multivariate analysis procedures are used, the book also offers clear explanations of those purposes, with numerical examples preceding the mathematical descriptions. Supporting the modern matrix formulations by highlighting singular value decomposition among theorems in matrix algebra, this book is useful for undergraduate students who have already learned introductory statistics, as well as for graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis. The book begins by explaining fundamental matrix operations and the matrix expressions of elementary statistics. Then, it offers an introduction to popular multivariate procedures, with each chapter featuring increasing advanced levels of matrix algebra. Further the book includes in six chapters on advanced procedures, covering advanced matrix operations and recently proposed multivariate procedures, such as sparse estimation, together with a clear explication of the differences between principal components and factor analyses solutions. In a nutshell, this book allows readers to gain an understanding of the latest developments in multivariate data science.

This book aims to stimulate debate in the growing and highly controversial area of measuring scholarly work. The authors examine key aspects of this topic through the lens of the latest theoretical developments in service science and associated fields. It includes chapters explaining the theoretical developments and methodological aspects of measuring the quality of academic teaching and research, while other chapters provide a review and analysis of various types of scholarly work metrics and processes with examples from several countries, cultures, and educational systems. The current growing concern about higher education (HE) quality has prompted institutions to divide university teachers' work into different areas and to design methods aimed at measuring the productivity of these areas. It is widely accepted that the need to evaluate HE service quality is a relevant issue for any society. However, the authors argue that most of the current practices used in the pursuit of this objective are jeopardizing the future of the university as a place of knowledge generation, science evolution and professional education.

A non-calculus based introduction for students studying statistics, business, engineering, health sciences, social sciences, and education. It presents a thorough coverage of statistical techniques and includes numerous examples largely drawn from actual research studies. Little mathematical background is required and explanations of important concepts are based on providing intuition using illustrative figures and numerical examples. The first part shows how statistical methods are used in diverse fields in answering important questions, while part two covers descriptive statistics and considers the organisation and summarisation of data. Parts three to five cover probability, statistical inference, and more advanced statistical techniques.

This book introduces the fundamentals of research methods and how they apply to the discipline of urban and regional planning. Written at a level appropriate for upper-level undergraduate and beginning master's level students, the text fills a gap in the literature for textbooks on urban planning. Additionally, the book can be used as a reference for planning practitioners and researchers when analyzing quantitative and qualitative data in urban and regional planning and related fields. The volume does not assume advanced knowledge of mathematical formulas. Rather, it begins with the essentials of research methods, such as the identification of the research problems in planning, the literature review, data collection and presentation, descriptive data analysis, and report of findings. Its discipline-specific topics include field research methods, qualitative data analysis, economic and demographic analysis, evaluation research, and methods in sub-disciplines such as land use planning, transportation planning, environmental planning, and housing analysis. Designed with instruction in mind, this book features downloadable materials, including learning outcomes, chapter highlights, chapter review questions, datasets, and certain Excel models. Students will be able to download review questions to enhance the learning process and datasets to practice methods.

Launched in 1950, Penguin's Russian Classics quickly progressed to include translations of many great works of Russian literature and the series came to be regarded by readers, both academic and general, as the de facto provider of classic Russian literature in English translation, the legacy of which reputation resonates right up to the present day. Through an analysis of the individuals involved, their agendas, and their socio-cultural context, this book, based on extensive original research, examines how Penguin's decisions and practices when translating and publishing the series played a significant role in deciding how Russian literature would be produced and marketed in English translation. As such the book represents a major contribution to Translation Studies, to the study of Russian literature, to book history and to the history of publishing.

This supplemental volume is divided into parts covering the broad view of international human resources management, HRM issues and practices in Europe and in other important regions, and international HRM and expatriates.

This study explores the flow of information within and among academic disciplines in the social sciences and humanities through analyses of the patterns of scholarly book reviewing. An elite sample of scholarly monographs published by university presses between 1971 and 1990 was used.

Beginning with Derek de Solla Price, the measurement of communication within the disciplines of science has been ongoing. In the present book that field of inquiry is summarized and provides a basis for examining the flow of information in the social sciences and humanities.

This book highlights the existence of a diversity of methods in science, in general, in groups of sciences (natural, social or the artificial), and in individual sciences. This methodological variety is open to a number of consequences, such as the differences in the research according to levels of reality (micro, meso and macro), which leads to multi-scale modelling and to questioning "fundamental" parts in the sciences, understood as the necessary support for the whole discipline. In addition, this volume acknowledges the need to assess the efficacy of procedures and methods of scientific activity in engendering high quality results in research made; the relevance of contextual factors for methodology of science; the existence of a plurality of stratagems when doing research in empirical sciences (natural, social and of the artificial); and the need for an ethical component while developing scientific methods, because values should have a role in scientific research. The book is of interest to a broad audience of philosophers, academics in various fields, graduate students and research centers interested in methodology of science.

This series considers theoretical, methodological and research issues relevant to organizational sociology. It is specifically concerned with trying to specify the unique contributions of broad sociological theories and research techniques to the analysis of organizations. Both micro and macro sociological approaches are emphasized. From a micro perspective an effort is made to bring to the forefront such perspectives as phenomenology, ethnomethodology and symbolic interaction. The macro analysis also places an emphasis on the institutional, historical and cultural examination of organizations. An effort is made to use this series as a forum for the presentation of theories and research which challenge conventional views of organizational sociology. This volume presents an examination of organizations which is cross-cultural, covering all areas of cultural diversity and spanning countries, generations and identities.

This book acts as an introductory guide to understanding and using the mapping sentence as a tool in social science and humanities research. The book fills the need for a concise text that simply instructs how and when to use a mapping sentence and provides practical examples. Mapping sentences are a major research component and tool of facet theory. The book begins by covering the background to mapping sentence, including the philosophy and theory underpinning it. The following chapter discuss what mapping sentence is, what different kinds of mapping sentences exist, and knowing when and which to use it in a given situation. The book then moves into describing how to write a mapping sentence and how to analyse the information gained from mapping sentence research. It ends with a consideration of the future developments of mapping sentences and their applications across the social sciences and humanities, including in particular psychology, marketing, behavioural biology, art and health.

This book offers an innovative perspective on the intersection of politics, education, and social problems. It considers how we can create social change by talking about politics and social problems in more open, direct, and inclusive ways in educational spaces. Drawing on data from a range of settings, this book closely examines how and when complicated conversations take place in classrooms, schools, and communities. The book tackles a series of hot-button, timely issues, including race, religion, politics, and gender, and turns a critical eye to schools and the communities in which they are situated; the conversations adults have-and pointedly ignore-with one another; and, perhaps most critically, the politics that shape our society.

Contemporary Studies in Sociology

This book provides an overview of the developments in the area of Bayesian evaluation of informative hypotheses that took place since the publication of the ?rst paper on this topic in 2001 [Hoijtink, H. Con?rmatory latent class analysis, model selection using Bayes factors and (pseudo) likelihood ratio statistics. Multivariate Behavioral Research, 36, 563-588]. The current state of a?airs was presented and discussed by the authors of this book during a workshop in Utrecht in June 2007. Here we would like to thank all authors for their participation, ideas, and contributions. We would also like to thank Sophie van der Zee for her editorial e?orts during the construction of this book. Another word of thanks is due to John Kimmel of Springer for his con?dence in the editors and authors. Finally, we would like to thank the Netherlands Organization for Scienti?c Research (NWO) whose VICI grant (453-05-002) awarded to the ?rst author enabled the organization of the workshop, the writing of this book, and continuation of the research with respect to Bayesian evaluation of informative hypotheses.

For introductory psychology courses at two year or four year institutions. Also for specialty classes throughout the discipline that focus on critical thinking, science vs. pseudoscience, and discrimating valid research in the field. Keith Stanovich's widely used and highly acclaimed book helps students become more discriminating consumers of psychological information, helping them recognize pseudoscience and be able to distinguish it from true psychological research. Stanovich helps instructors teach critical thinking skills within the rich context of psychology. It is the leading text of its kind. How to Think Straight About Psychology says about the discipline of psychology what many instructors would like to say but haven't found a way to. That is one reason adopters have called it "an instructor's dream text" and often comment "I wish I had written it. It tells my students just what I want them to hear about psychology".

What is educational research? What are its current approaches, methods and methodologies? How should existing literature be reviewed and evaluated critically? What are the key philosophical debates in and on educational research? How should research in education be conducted and how should it be presented? And what is the value of such research?With this extensively revised edition of a much-admired and engaging guide, Jerry Wellington provides clear and constructive answers to these questions, complete with detailed advice on methods such as interviewing, surveys, documentary research and the use of focus groups. Thoroughly overhauled and updated, this edition includes new case studies, helpful 'key theories' and 'key theorist' boxes, and a range of activities or 'points to ponder' to foster engagement with current issues. Retaining the clarity and concision of the previous edition, and its approachable and practical style, Jerry Wellington provides an invaluable text for all those engaged in educational research.

Social movement studies have grown enormously in the last few decades, spreading from sociology and political science to other fields of knowledge, as varied as geography, history, anthropology, psychology, economics, law and others. With the growing interest in the field, there has been also an increasing need for methodological guidance for empirical research. This volume addresses this need by introducing the main methods of data collection and data analysis as they have been used in past research on social movements. Unlike other volumes, the book offers a practical, how-to approach and not simply a review of the methodological literature. Each author writes on a method they are very familiar with, having used it extensively in their own work. And each chapter presents specific discussions on every stage of research: from research design to data collection and the use of the information gathered. Throughout, research dilemmas and choices are presented, illustrated, and discussed. The volume offers an essential point of references for anyone undertaking research on social movements.

This substantially revised text provides a comprehensive, highly accessible, and student friendly introduction to the principles, concepts, and methods currently used in educational research. This text provides a balanced combination of quantitative and qualitative methods and enables students to master skills in reading, understanding, critiquing, and conducting research. Many examples and article excerpts are used throughout the text to demonstrate and highlight best practices in educational research. Evidence-based inquiry is emphasized in two ways: (1) Introductory chapters focus on the added importance of data driven decision-making, (2) Methodological chapters provide explicit guidelines for conducting empirical studies.

Statistical illiteracy can have an enormously negative impact on decision making. This volume of collected papers brings together applied and theoretical research on risks and decision making across the fields of medicine, psychology, and economics. Collectively, the essays demonstrate why the frame in which statistics are communicated is essential for broader understanding and sound decision making, and that understanding risks and uncertainty has wide-reaching implications for daily life. Gerd Gigerenzer provides a lucid review and catalog of concrete instances of heuristics, or rules of thumb, that people and animals rely on to make decisions under uncertainty, explaining why these are very often more rational than probability models. After a critical look at behavioral theories that do not model actual psychological processes, the book concludes with a call for a "heuristic revolution" that will enable us to understand the ecological rationality of both statistics and heuristics, and bring a dose of sanity to the study of rationality.

This book highlights recent advancements and innovations in trenchless technology via the adoption of combined micro-tunnelling and pipe-jacking techniques. This technique is more environmentally friendly, cost effective, less time-consuming and less disruptive compared to conventional open trench excavations for urban construction and urban infrastructure renewal projects. Pipe jacking is a non-destructive technique used in the installation of underground pipelines using a tunnel boring machine (TBM) and thrust forces derived from the hydraulic jack set-up in a deep jacking shaft. It is popular and commonly used worldwide for the installation of sewer and common services cable tunnels as well as for oil and gas pipelines.

During the last two decades, structural equation modeling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Although its roots can be traced back to the first half of this century, when Spearman (1904) developed factor analysis and Wright (1934) introduced path analysis, it was not until the 1970s that the works by Karl Joreskog and his associates (e. g., Joreskog, 1977; Joreskog and Van Thillo, 1973) began to make general SEM techniques accessible to the social and behavioral science research communities. Today, with the development and increasing avail ability of SEM computer programs, SEM has become a well-established and respected data analysis method, incorporating many of the traditional analysis techniques as special cases. State-of-the-art SEM software packages such as LISREL (Joreskog and Sorbom, 1993a, b) and EQS (Bentler, 1993; Bentler and Wu, 1993) handle a variety of ordinary least squares regression designs as well as complex structural equation models involving variables with arbitrary distributions. Unfortunately, many students and researchers hesitate to use SEM methods, perhaps due to the somewhat complex underlying statistical repre sentation and theory. In my opinion, social science students and researchers can benefit greatly from acquiring knowledge and skills in SEM since the methods-applied appropriately-can provide a bridge between the theo retical and empirical aspects of behavioral research."

This book seeks to introduce students to the challenges of 'real life' social research through a detailed consideration of eight recent empirical studies. Designed to complement existing introductory methods texts, it emphasises the importance of context in understanding and interpreting both the practice and 'product' of empirical research. The book focuses on research from eight key sub-areas of sociology, making it a useful secondary text for introductory courses on contemporary British society.

This book focuses on how important massive information is and how sensitive outcomes are to information. In this century humans now are coming up against the massive utilization of information in various contexts. The advent of super intelligence is drastically accelerating the evolution of the socio-economic system. Our traditional analytic approach must therefore be radically reformed in order to adapt to an information-sensitive framework, which means giving up myopic purification and the elimination of all considerations of massive information. In this book, authors who have shared and exchanged their ideas over the last 20 years, offer thorough examinations of the theoretical-ontological basis of complex economic interaction, econophysics, and agent-based modeling during the last several decades. This book thus provides the indispensable philosophical-scientific foundations for this new approach, and then moves on to empirical-epistemological studies concerning changes in sentiments and other movements in financial markets.

Design Research uses scientific methods to evaluate designs and build design theories. This book starts with recognizable questions in Design Research, such as A/B testing, how users learn to operate a device and why computer-generated faces are eerie. Using a broad range of examples, efficient research designs are presented together with statistical models and many visualizations. With the tidy R approach, producing publication-ready statistical reports is straight-forward and even non-programmers can learn this in just one day. Hundreds of illustrations, tables, simulations and models are presented with full R code and data included. Using Bayesian linear models, multi-level models and generalized linear models, an extensive statistical framework is introduced, covering a huge variety of research situations and yet, building on only a handful of basic concepts. Unique solutions to recurring problems are presented, such as psychometric multi-level models, beta regression for rating scales and ExGaussian regression for response times. A "think-first" approach is promoted for model building, as much as the quantitative interpretation of results, stimulating readers to think about data generating processes, as well as rational decision making. New Statistics for Design Researchers: A Bayesian Workflow in Tidy R targets scientists, industrial researchers and students in a range of disciplines, such as Human Factors, Applied Psychology, Communication Science, Industrial Design, Computer Science and Social Robotics. Statistical concepts are introduced in a problem-oriented way and with minimal formalism. Included primers on R and Bayesian statistics provide entry point for all backgrounds. A dedicated chapter on model criticism and comparison is a valuable addition for the seasoned scientist.