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.

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.

1. Offers ready-to-play games of varying lengths and topics, giving teachers everything they need to implement active learning in the political science classroom. 2. Offers pedagogical data supporting classroom games and simulations, providing encouragement to professors and justification to administrators for active learning, 3. Serves as a primer for modifying and designing classroom games, supporting active professorial engagement and agency especially important in a time of online learning.

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.

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.

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.

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.

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 completely updated third edition of Millennials in America provides a wide range of characteristics profiling the demographic, social, and economic status of the millennial generation. While the baby boom generation occupies much of our social and political dialogue, the millennial generation is actually a larger generation. As the boomers age, their numbers will decrease while the millennials will be the driving social and political force in the coming decades. Millennials in America focuses on the those born between 1982-2001. Millennials in America is an invaluable source for helping people understand what the census data tells us about who we are, what we do, and where we live. Benefits of this publication include: It will fill an information gap due to the difficulty in extracting comparative data from the Census Bureau's American FactFinder dissemination system. Users will have comparative data in a single reference volume. It will eliminate the need for the data user to understand and manipulate detailed census data files and consolidate disparate tables in AFF. This publication utilizes the PUMS data which is the ONLY source of data that can be used to define precise age ranges for the millennial generation. The age detail available for census summary data simply aren't adequate for defining the millennials and therefore prohibit compilation of characteristics specific to this important generation.

First published Open Access under a Creative Commons license as What is Rhythmanalysis?, this title is now also available as part of the Bloomsbury Research Methods series. In recent years, there has been growing interest in Henri Lefebvre's posthumously published volume, Rhythmanalysis. For Lefebvre and subsequent scholars, rhythmanalysis is a research strategy which offers a means of thinking space and time together in the study of everyday life, and this remains its strength and appeal. This book addresses the task of how to do rhythmanalysis. It discusses the history and development of rhythmanalysis from Lefebvre to the present day in a range of fields including cultural history and studies of place, work and nature. For Lefebvre, it is necessary to be 'grasped by' a rhythm at a bodily level in order to grasp it. And yet we also need critical distance to fully understand it. Rhythmanalysis is therefore both corporeal and conceptual. This book considers how the body is directly deployed as a research tool in rhythmanalytical research as well as how audio-visual methods can get at rhythm beyond the capacity of the senses to perceive it. In particular, the book includes detailed discussion of research on different forms of mobility - from driving to dancing - and on the social life of markets - from finance to fish. Dawn Lyon highlights the gains, limitations and lively potential of rhythmanalysis for spatially, temporally and sensually attuned practices of research. This engaging text will be of interest to students and researchers in sociology, criminology, socio-legal studies, geography, urban studies, architecture, anthropology, economics and cultural studies.

This edited collection brings together voices of the strongest thought leaders on diversity, equity and inclusion in the field of statistics and data science, with the goal of encouraging and steering the profession into the regular practice of inclusive and humanistic leadership. It provides futuristic ideas for promoting opportunities for equitable leadership, as well as tested approaches that have already been found to make a difference. It speaks to the challenges and opportunities of leading successful research collaborations and making strong connections within research teams. Curated with a vision that leadership takes a myriad of forms, and that diversity has many dimensions, this volume examines the nuances of leadership within a workplace environment and promotes storytelling and other competencies as critical elements of effective leadership. It makes the case for inclusive and humanistic leadership in statistics and data science, where there often remains a dearth of women and members of certain racial communities among the employees. Titled and non-titled leaders will benefit from the planning, evaluation, and structural tools offered within to contribute inclusive excellence in workplace climate, environment, and culture.

This edited collection explores the multiple ways in which ethnography and health emerge and take form through the research process. There is now a plethora of disciplinary engagements with ethnography around the topic of health, including anthropology, sociology, geography, science and technology studies, and in health care professions such as nursing and occupational therapy. This dynamic and evolving landscape means ethnography and health are entangled in new and different ways, providing a timely opportunity to explore what these entanglements do and affect in the social production of knowledge. Rather than discussing the strengths (and limitations) of ethnography for engaging with health, the book asks: what does ethnography enable, make visible and possible for knowing and doing health in contemporary research settings and beyond?

This book presents a new research agenda for improvements in Quality of Life research. It includes topics such as: -Studying QoL in particular subpopulations and selected subgroups -Disentangling the difficult task of identifying determinants of QoL -Perfectionating the measurement of conceptual dimensions -Defining new indicators able to measure and monitor particular social conditions and shows that these are not separated fields of studies but intersect each other and produce different outcomes which can be with difficulty classifiable, consistent with the idea of the complexity of our reality. The volume presents micro perspectives by taking into account the macro situation through both qualitative and quantitative approaches.

Bayes Factors for Forensic Decision Analyses with R provides a self-contained introduction to computational Bayesian statistics using R. With its primary focus on Bayes factors supported by data sets, this book features an operational perspective, practical relevance, and applicability-keeping theoretical and philosophical justifications limited. It offers a balanced approach to three naturally interrelated topics: Probabilistic Inference - Relies on the core concept of Bayesian inferential statistics, to help practicing forensic scientists in the logical and balanced evaluation of the weight of evidence. Decision Making - Features how Bayes factors are interpreted in practical applications to help address questions of decision analysis involving the use of forensic science in the law. Operational Relevance - Combines inference and decision, backed up with practical examples and complete sample code in R, including sensitivity analyses and discussion on how to interpret results in context. Over the past decades, probabilistic methods have established a firm position as a reference approach for the management of uncertainty in virtually all areas of science, including forensic science, with Bayes' theorem providing the fundamental logical tenet for assessing how new information-scientific evidence-ought to be weighed. Central to this approach is the Bayes factor, which clarifies the evidential meaning of new information, by providing a measure of the change in the odds in favor of a proposition of interest, when going from the prior to the posterior distribution. Bayes factors should guide the scientist's thinking about the value of scientific evidence and form the basis of logical and balanced reporting practices, thus representing essential foundations for rational decision making under uncertainty. This book would be relevant to students, practitioners, and applied statisticians interested in inference and decision analyses in the critical field of forensic science. It could be used to support practical courses on Bayesian statistics and decision theory at both undergraduate and graduate levels, and will be of equal interest to forensic scientists and practitioners of Bayesian statistics for driving their evaluations and the use of R for their purposes. This book is Open Access.

This book presents a method for creating a working model of society, using data systems and simulation techniques, that can be used for testing propositions of scientific and policy nature. The model is based on the example of New Zealand, but will be applicable to other countries. It is expected that collaborators in other countries can emulate this example with their data systems for teaching and policy purposes, producing a cross-national "collaboratory". This enterprise will evolve with, and to a degree independently of, the book itself, with a supporting website as well as teaching and scientific initiatives. Readers of this text will, for the first time, have a simulation-based working model of society that can be interrogated for policy and substantive purposes. This book will appeal to researchers and professionals from various disciplines working within the social sciences, particularly on matters of demography and public policy.

Across the social welfare and human services fields, interest is growing in how to apply research to influence policy and practice; simultaneously, with globalization's advance, it is clearer than ever that an international perspective is vital in understanding how social, political, and institutional contexts affect research and dissemination practices. This volume, with contributions from an array of eminent researchers and practitioners, provides valuable insight into effective research practice and the factors involved in putting research findings to use. Leading with experience - narratives of six child welfare case studies from the UK, Ireland, Israel, South Africa, and the US - the book frames those cases in the context of relevant literatures to build up a cross-case analysis that distills lessons, throws enduring questions into relief, and lays a foundation for informing future practice. It mines the cross-national experience to develop perspective for a better understanding of the importance of different policy and cultural environments, while nonetheless emphasizing issues that are applicable across borders. The ground prepared by the case studies allows the volume to tease out themes and lessons, placing the empirical findings against relevant theoretical frameworks and developing guidelines for improving research practice in this arena.

Engaging with several emerging and interconnected approaches in the social sciences, including pragmatism, system theory, processual thinking and relational thinking, this book leverages John Dewey and Arthur Bentley's often misunderstood concept of trans-action to revisit and redefine our perceptions of social relations and social life. The contributors gathered here use trans-action in a more specific sense, showing why and how social scientists and philosophers might use the concept to better understand our social life and social problems. As the first collective sociological attempt to apply the concept of trans-action to contemporary social issues, this volume is a key reference for the growing audience of relational and processual thinkers in the social sciences and beyond.

This proceedings volume highlights the latest research and developments in psychometrics and statistics. It represents selected and peer reviewed presentations given at the 84th Annual International Meeting of the Psychometric Society (IMPS), organized by Pontificia Universidad Catolica de Chile and held in Santiago, Chile during July 15th to 19th, 2019. The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. It draws approximately 500 participants from around the world, featuring paper and poster presentations, symposiums, workshops, keynotes, and invited presentations. Leading experts and promising young researchers have written the included chapters. The chapters address a large variety of topics including but not limited to item response theory, multistage adaptive testing, and cognitive diagnostic models. This volume is the 8th in a series of recent volumes to cover research presented at the IMPS.