This book offers a new look at well-established quantification theory for categorical data, referred to by such names as correspondence analysis, dual scaling, optimal scaling, and homogeneity analysis. These multiple identities are a consequence of its large number of properties that allow one to analyze and visualize the strength of variable association in an optimal solution. The book contains modern quantification theory for analyzing the association between two and more categorical variables in a variety of applicative frameworks. Visualization has attracted much attention over the past decades and given rise to controversial opinions. One may consider variations of plotting systems used in the construction of the classic correspondence plot, the biplot, the Carroll-Green-Schaffer scaling, or a new approach in doubled multidimensional space as presented in the book. There are even arguments for no visualization at all. The purpose of this book therefore is to shed new light on time-honored graphical procedures with critical reviews, new ideas, and future directions as alternatives. This stimulating volume is written with fresh new ideas from the traditional framework and the contemporary points of view. It thus offers readers a deep understanding of the ever-evolving nature of quantification theory and its practice. Part I starts with illustrating contingency table analysis with traditional joint graphical displays (symmetric, non-symmetric) and the CGS scaling and then explores logically correct graphs in doubled Euclidean space for both row and column variables. Part II covers a variety of mathematical approaches to the biplot strategy in graphing a data structure, providing a useful source for this modern approach to graphical display. Part II is also concerned with a number of alternative approaches to the joint graphical display such as bimodal cluster analysis and other statistical problems relevant to quantification theory.

This open access book gives insights into feminist methodologies in theory and practice. By foregrounding the experiential and embodied nature of doing feminist research, this book offers valuable tools for feminist research as a continuous praxis. Emerging from a rich collective learning process, the collection offers in-depth reflections on how feminists shape research questions, understand positionality, share research results beyond academe and produce feminist intersectional knowledges. This book reveals how the authors navigate theory and practice, candidly exploring the difficulty of producing knowledge on the edge of academia and activism. From different points of view, places and disciplinary positions, artistic and creative experiments and collaborations, the book provides a multi-layered analysis. This book will be a valuable resource and asset to early career researchers and interdisciplinary feminist students who can learn more about the doing of feminist research from realistic, accessible, and practical methodological tools and knowledge.

While online learning has become pervasive in many fields in higher education, it has been adopted somewhat slower in teacher education. In addition, more research is needed to empirically evaluate the effectiveness of online education in teacher preparation. Teacher Education Programs and Online Learning Tools: Innovations in Teacher Preparation presents information about current online practices and research in teacher education programs, and explores the opportunities, methods, and issues surrounding technologically innovative opportunities in teacher preparation. It presents empirical evidence of teacher candidate learning and assessment in the context of various online aspects of teacher licensure.

Presenting the landmark Pioneers life stories project, this one-of-a-kind book documents how modern social research in the UK was shaped. It sheds new light on the lives, methods and motivations of men and women who helped develop a new world of research methodology, pioneered feminist research, and first confronted the issues of race and ethnicity. It combines a fascinating history of the generations who built outstanding and influential social research with a valuable resource for future research and teaching on methods.

This book shows how information theory, probability, statistics, mathematics and personal computers can be applied to the exploration of numbers and proportions in music. It brings the methods of scientific and quantitative thinking to questions like: What are the ways of encoding a message in music and how can we be sure of the correct decoding? How do claims of names hidden in the notes of a score stand up to scientific analysis? How many ways are there of obtaining proportions and are they due to chance? After thoroughly exploring the ways of encoding information in music, the ambiguities of numerical alphabets and the words to be found "hidden" in a score, the book presents a novel way of exploring the proportions in a composition with a purpose-built computer program and gives example results from the application of the techniques. These include information theory, combinatorics, probability, hypothesis testing, Monte Carlo simulation and Bayesian networks, presented in an easily understandable form including their development from ancient history through the life and times of J. S. Bach, making connections between science, philosophy, art, architecture, particle physics, calculating machines and artificial intelligence. For the practitioner the book points out the pitfalls of various psychological fallacies and biases and includes succinct points of guidance for anyone involved in this type of research. This book will be useful to anyone who intends to use a scientific approach to the humanities, particularly music, and will appeal to anyone who is interested in the intersection between the arts and science.With a foreword by Ruth Tatlow (Uppsala University), award winning author of Bach's Numbers: Compositional Proportion and Significance and Bach and the Riddle of the Number Alphabet."With this study Alan Shepherd opens a much-needed examination of the wide range of mathematical claims that have been made about J. S. Bach's music, offering both tools and methodological cautions with the potential to help clarify old problems." Daniel R. Melamed, Professor of Music in Musicology, Indiana University

Winner of NAGC's 2021 Book of the Year Award This edited book, written by authors with extensive experience in working with gifted students from low-income households, focuses on ways to translate the latest research and theory into evidence-supported practices that impact how schools identify and serve these students. Readers will: Learn about evidence-supported identification systems, tools, and strategies for finding students from low-income households. Discover curriculum models, resources, and instructional strategies found effective from projects focused on supporting these students. Understand the important role that intra- and interpersonal skills, ethnicity/race, families, school systems, and communities play. Consider the perceptions of gifted students who grew up in low-income households. Learn how educators can use their experiences to strengthen current services. Unlocking Potential is the go-to resource for an up-to-date overview of best practices in identification, curriculum, instruction, community support, and program design for gifted learners from low-income households.

The landmark National Survey of Child and Adolescent Well-Being (NSCAW) study represents the first effort to gather nationally representative data, based on first-hand reports, about the well-being of children and families who encounter the child welfare system. NSCAW's findings offer an unprecedented national source of data that describe the developmental status and functional characteristics of children who come to the attention of child protective services. Much more than a simple history of placements or length of stay in foster care, NSCAW data chart the trajectory of families across service pathways for a multi-dimensional view of their specific needs. The NSCAW survey is longitudinal, contains direct assessments and reports about each child from multiple sources, and is designed to address questions of relations among children's characteristics and experiences, their development, their pathways through the child welfare service system, their service needs, their service receipt, and, ultimately, their well-being over time.
The chapters in this rich synthesis of NSCAW data represent thoughtful and increasingly sophisticated approaches to the problems highlighted in the study and in child welfare research in general. The authors capitalize on the longitudinal, multidimensional data to capture the experiences of children and families from the time they are investigated by CPS though multiple follow-up points, and to consider the interdependent nature of the traditional child welfare outcomes of safety, permanence, and well-being. The topics covered not only are critical to child welfare practice and policy, but also are of compelling interest to other child service sectors such as health, mental health, education, and juvenile justice. The authors of chapters in this volume are esteemed researchers within psychology, social work, economics, and public health. Together they represent the future of child welfare research, showcasing the potential of NSCAW as a valuable resource to the research community and providing glimpses of how the data can be used to inform practice and policy.

This open access book presents new developments in the field of demographic forecasting, covering both mortality, fertility and migration. For each component emerging methods to forecast them are presented. Moreover, instruments for forecasting evaluation are provided. Bayesian models, nonparametric models, cohort approaches, elicitation of expert opinion, evaluation of probabilistic forecasts are some of the topics covered in the book. In addition, the book is accompanied by complementary material on the web allowing readers to practice with some of the ideas exposed in the book. Readers are encouraged to use this material to apply the new methods to their own data. The book is an important read for demographers, applied statisticians, as well as other social scientists interested or active in the field of population forecasting. Professional population forecasters in statistical agencies will find useful new ideas in various chapters.

This indispensable textbook provides student researchers with extensive guidance and methods from across the social sciences and humanities, showing them how to make informed choices and consider the many alternatives available throughout the research process. Unique in approach, the text focus on how to do media research across three key strands - audiences, institutions and texts -and critically assesses a wide range of methods, addressing why they are appropriate or useful in certain scenarios. Written by two experts with a wealth of experience between them in teaching research methods and skills, this excellent resource explains complex methods in a clear and accessible way, offering practical guidance on how to use different methodologies, while situating the methods in the context of critical evaluations of previously published research. Providing a complete overview of media research methods while encouraging students to develop their own intellectual frameworks, this book is invaluable for undergraduates, postgraduates, novice and more experienced researchers of media, communication and journalism.

^ 74 GeV and |y| < 2.4; the b jets must contain a B hadron. The measurement has significant statistics up to p T O(TeV). Advanced methods of unfolding are performed to extract the signal. It is found that fixed-order calculations with underlying event describe the measurement well.

Reciprocity Rules explores the rich and complicated relationships that develop between anthropologists and research participants over time. Focusing on compensation and the creation of friendship and "family" relationships, contributors discuss what, when, and how researchers and the people with whom they work give to each other in and beyond fieldwork. Through reflexivity and narrative, the contributors to this edited collection, who are in various stages in their professional careers and whose research spans three continents and eight countries, reflect on the ways in which they have compensated their research participants and given back to host communities, as well as the varied responses to their efforts. The contributors consider both material and non-material forms of reciprocity, stories of successes and failures, and the taken-for-granted notions of compensation, friendship, and "helping." In so doing, they address the interpersonal dynamics of power and agency in the field, examine cultural misunderstandings, and highlight the challenges that anthropologists face as they strive to maintain good relations with their hosts even when separated by time and space. The contributors argue that while learning, following, openly discussing, and writing about the local rules of reciprocity are always challenging, they are essential to responsible research practice and ongoing efforts to decolonize anthropology.

The roles and applications of various modeling approaches, aimed at improving the usefulness of energy policy models in public decision making, are covered by this book. The development, validation, and applications of system dynamics and agent-based models in service of energy policy design and assessment in the 21st century is a key focus. A number of modeling approaches and models for energy policy, with a particular focus on low-carbon economic development of regions and states are covered. Chapters on system dynamics methodology, model-based theory, fuzzy system dynamics frame-work, and optimization modeling approach are presented, along with several chapters on future research opportunities for the energy policy modeling community. The use of model-based analysis and scenarios in energy policy design and assessment has seen phenomenal growth during the past several decades. In recent years, renewed concerns about climate change and energy security have posed unique modeling challenges. By utilizing the validation techniques and procedures which are effectively demonstrated in these contributions, researchers and practitioners in energy systems domain can increase the appeal and acceptance of their policy models.

This book is a step-by-step guide for instructors on how to teach a psychology research methods course at the undergraduate or graduate level. It provides various approaches for teaching the course including lecture topics, difficult concepts for students, sample labs, test questions, syllabus guides and policies, as well as a detailed description of the requirements for the final experimental paper. This book is also supplemented with anecdotes from the author's years of experience teaching research methods classes. Chapters in this book include information on how to deliver more effective lectures, issues you may encounter with students, examples of weekly labs, tips for teaching research methods online, and much more. This book is targeted towards the undergraduate or graduate professor who has either not yet taught research methods or who wants to improve his or her course. Using step by step directions, any teacher will be able to follow the guidelines found in this book that will help them succeed.How to Teach a Course in Research Methods for Psychology Students is a valuable resource for anyone teaching a quantitative research methods course at the college or university level.

The notion of quality features prominently in contemporary discourse. Numerous ratings, rankings, metrics, auditing, accreditation, benchmarking, smileys, reviews, and international comparisons are all used regularly to capture quality. This book paves the way in exploring the socio-political implications of evaluative statements, with a specific focus on the contribution of the concept of quality to these processes. Drawing on perspectives from the history of ideas, sociology, political science and public management, Dahler-Larsen asks what is the role of quality, and more specifically quality inscriptions, such as measurement? What do they accomplish? And finally, as a consequence of all this, does the term quality make it possible to deal with public issues in a way that lives up to democratic standards? This cross-disciplinary book will be of interest to scholars and students across various fields, including sociology, social epistemology, political science, public policy, and evaluation.

This book explores the affective and relational lives of young people in diverse urban spaces. By following the trajectories of diverse young people as they creatively work through multiple and unfolding global crises, it asks how arts-based methodologies might answer the question: How do we stand in relation to others, those nearby and those at great distances? The research draws on knowledges, research traditions, and artistic practices that span the Global North and Global South, including Athens (Greece), Coventry (England), Lucknow (India), Tainan (Taiwan), and Toronto (Canada) and curates a way of thinking about global research that departs from the comparative model and moves towards a new analytic model of thinking multiple research sites alongside one another as an approach to sustaining dialogue between local contexts and wider global concerns.

Social machines are a type of network connected by interactive digital devices made possible by the ubiquitous adoption of technologies such as the Internet, the smartphone, social media and the read/write World Wide Web, connecting people at scale to document situations, cooperate on tasks, exchange information, or even simply to play. Existing social processes may be scaled up, and new social processes enabled, to solve problems, augment reality, create new sources of value, and disrupt existing practice. This book considers what talents one would need to understand or build a social machine, describes the state of the art, and speculates on the future, from the perspective of the EPSRC project SOCIAM - The Theory and Practice of Social Machines. The aim is to develop a set of tools and techniques for investigating, constructing and facilitating social machines, to enable us to narrow down pragmatically what is becoming a wide space, by asking 'when will it be valuable to use these methods on a sociotechnical system?' The systems for which the use of these methods adds value are social machines in which there is rich person-to-person communication, and where a large proportion of the machine's behaviour is constituted by human interaction.

This book integrates the type-2 fuzzy sets and multiple criteria decision making analysis in recent years and offers an authoritative treatise on the essential topics, both at the theoretical and applied end. In this book, some basic theory, type-2 fuzzy sets, methodology, algorithms, are introduced and then some compelling case studies in decision problems are covered in depth. The authors offer an authoritative treatise on the essential topics, both at the theoretical and applied end; In a systematic and logically organized way, the book exposes the reader to the essentials of the theory of type-2 fuzzy sets, methodology, algorithms, and their applications. Numerous techniques of decision making are carefully generalized by bringing the ideas of type-2 fuzzy sets; this concerns well-known methods including TOPSIS, Analytical Network Process, TODIM, and VIKOR. This book exposes the readers to the essentials of the theory of type-2 fuzzy sets, methodology, algorithms, and their applications.

A volume in Critical Constructions: Studies on Education and Society Series Editor: Curry Stephenson Malott, Queens College/CUNY Students in public schools serving poor and working-class students are inundated by the effects of high-stakes examinations. Teachers are demoralized and students suffer substandard curricular and pedagogical experiences. These effects are articulated by students and teachers in the high school that provided the setting for the critical ethnography on which this text is based. Teachers resent being judged on the basis of students' performance on standardized assessments. They are deprofessionalized as their roles are oriented toward working-class norms. Students feel alienated by content that is meaningless and test-based pedagogies that are disempowering. While these findings are disturbing, critical theory provides a foundation for seeking hope. By incorporating inquiry and dialogue, this theoretical framework opens a space where resistance can be revealed and examined. In this case, the study exposed glimmers of resistance, spaces in the structure of schooling where students and teachers critique the system and suggest ways of subverting the negative effects of the neoliberal reforms through dialogic, empowering, culturally responsive pedagogies. Collective resistance, achieved through dialogic pedagogies that build on understandings of resistance and power, can cultivate theoretical and material spaces where a cycle of praxis can enhance possibilities for social justice. To that end, the conclusion is devoted to the implementation of critical, dialogic approaches to literacies, approaches intended to interrupt the hegemonic influences that perpetuate social reproduction by capitalizing on the potential for solidarity and collective agency among the students and teachers who populate and educate the working classes. This book would interest teacher educators, teachers, and school administrators.

This introductory textbook takes a building-block approach that emphasizes the application and interpretation of statistics in research in crime and justice. This text is meant for both students and professionals who want to gain a basic understanding of common statistical methods used in criminology and criminal justice before advancing to more complex statistical analyses in future volumes. This book emphasizes comprehension and interpretation. As the statistical methods discussed become more complex and demanding to compute, it integrates statistical software. It provides readers with an accessible understanding of popular statistical programs used to examine real-life crime and justice problems (including SPSS, Stata, and R). In addition, the book includes supplemental resources such as a glossary of key terms, practice questions, and sample data. Basic Statistics in Criminology and Criminal Justice aims to give students and researchers a core understanding of statistical concepts and methods that will leave them with the confidence and tools to tackle the statistical problems in their own research work.

Now in its Seventh Edition, Neil J. Salkind's bestselling Statistics for People Who (Think They) Hate Statistics with new co-author Bruce B. Frey teaches an often intimidating subject with a humorous, personable, and informative approach that reduces statistics anxiety. With instruction in SPSS(R), the authors guide students through basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more. The Seventh Edition includes new real-world examples, additional coverage on multiple regression and power and effect size, and a robust interactive eBook with video tutorials and animations of key concepts. In the end, students who (think they) hate statistics will understand how to explain the results of many statistical analyses and won't be intimidated by basic statistical tasks.

For one-quarter/semester courses that focus on the basics in statistics or combine statistics with research methods. The fifth edition of Statistics for the Behavioral and Social Sciences builds off an already well-established approach - emphasizing the intuitive, deemphasizing the mathematical, and explaining everything in direct, simple language - but also goes beyond these principles to further student understanding. By using definitional formulas to emphasize the concepts of statistics, rather than rote memorization, students work problems in a way that keeps them constantly aware of the underlying logic of what they are doing. NOTE: This is the standalone book, if you want the book/access card order the ISBN below; ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products. 0205924182 / 9780205924189 Statistics for The Behavioral and Social Sciences: A Brief Course Plus MyStatLab for Behavioral Sciences with Pearson eText -- Access Card Package 5/e Package consists of: 0205797253 / 9780205797257 Statistics for The Behavioral and Social Sciences: A Brief Course 0205923860 / 9780205923861 New MyStatLab for Social Sciences with Pearson eText -- ValuePack Access Card

This book covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability theory, random sampling and estimation theory), and inferential statistics itself (confidence intervals, testing). Each chapter starts with the necessary theoretical background, which is followed by a variety of examples. The core examples are based on the content of the respective chapter, while the advanced examples, designed to deepen students' knowledge, also draw on information and material from previous chapters. The enhanced online version helps students grasp the complexity and the practical relevance of statistical analysis through interactive examples and is suitable for undergraduate and graduate students taking their first statistics courses, as well as for undergraduate students in non-mathematical fields, e.g. economics, the social sciences etc.

Reflecting the rising popularity of research that combines qualitative and quantitative social science, Multi-Method Social Science provides the first systematic guide to designing multi-method research. It argues that methods can be productively combined using the framework of integrative multi-method research, with one method used to carry out a final causal inference, and methods from other traditions used to test the key assumptions involved in that causal inference. In making this argument, Jason Seawright considers a wide range of statistical tools including regression, matching, and natural experiments. The book also discusses qualitative tools including process tracing, the use of causal process observations, and comparative case study research. Along the way, the text develops over a dozen multi-method designs to test key assumptions about social science causation.

Organizations of all kinds struggle to understand, adapt, respond and manipulate changing conditions in their internal and external environments. Approaches based on the causal, linear logic of mechanistic sciences and engineering continue to play an important role, given people's ability to create order. But such approaches are valid only within carefully circumscribed boundaries. They become counterproductive when the same organizations display the highly reflexive, context-dependent, dynamic nature of systems in which agents learn and adapt and new patterns emerge. The rapidly expanding discussion about complex systems offers important contributions to the integration of diverse perspectives and ultimately new insights into organizational effectiveness. There is increasing interest in complexity in mainstream business education, as well as in specialist business disciplines such as knowledge management. Real world systems can't be completely designed, controlled, understood or predicted, even by the so-called sciences of complexity, but they can be more effective when understood as complex systems. While many scientific disciplines explore complexity principally through abstract mathematical models and simulations, Emergence: Complexity & Organization explores the emerging understanding of human systems from both the 'hard' quantitative sciences and the 'soft' qualitative perspectives. This 2010 Annual includes articles from Goktu Morcol, Lynne Hamill, Mika Aaltonen, Glenda Eoyang, Lasse Gerrits, Jean Boulton, and many more, that explore a range of complexity-related topics from philosophical concerns through to the practical application of complexity ideas, concepts and frameworks in human organizations. Also included are a series of four reproductions of classic papers in the fields of complexity and systems, each with critical introductions that explore their modern relevance: "The Science of 'Muddling' Through" by Charles E. Lindblom (originally published in 1959); "Why is Economics not an Evolutionary Science?" by Thorstein Veblen (originally published in 1898); "The Theory of Emergence" by Reuben Ablowitz (originally published in 1939), and; "Determinism and Life" by Conrad Hal Waddington (originally published in 1972).

This title is part of UC Press's Voices Revived program, which commemorates University of California Press's mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1976.