In this book, senior scholars and a new generation of analysts present different applications of recent advances linking beliefs and decision-making, in the area of foreign policy analysis with strategic interactions in world politics. Divided into five parts, Part 1 identifies how the beliefs in the cognitive operational codes of individual leaders explain the political decisions of states. In Part 2, five chapters illustrate progress in comparing the operational codes of individual leaders, including Vladimir Putin of Russia, three US presidents, Bolivian president Evo Morales, Sri Lanka's President Chandrika Kumaratunga, and various leaders of terrorist organizations operating in the Middle East and North Africa. Part 3 introduces a new Psychological Characteristics of Leaders (PsyCL) data set containing the operational codes of US presidents from the early 1800s to the present. In Part 4, the focus is on strategic interactions among dyads and evolutionary patterns among states in different regional and world systems. Part 5 revisits whether the contents of the preceding chapters support the claims about the links between beliefs and foreign policy roles in world politics. Richly illustrated and with comprehensive analysis Operational Code Analysis and Foreign Policy Roles will be of interest to specialists in foreign policy analysis, international relations theorists, graduate students, and national security analysts in the policy-making and intelligence communities.

White Logic, White Methods shows the ways that a reigning white ideological methodology has poisoned almost all aspects of social science research. The only way to remedy these prevailing inequalities is for the complete overhaul of current methods, and a movement towards multicultural and pluralist approaches to what we know, think, and question. With an assemblage of leading scholars, this collection explores the possibilities and necessary dethroning of current social research practices.

The American Educational History Journal is a peer-reviewed national research journal devoted to the examination of educational topics using perspectives from a variety of disciplines. The editors of AEHJ encourage communication between scholars from numerous disciplines, nationalities, institutions, and backgrounds. Authors come from a variety of disciplines including political science, curriculum, history, philosophy, teacher education, and educational leadership. Acceptance for publication in AEHJ requires that each author present a well-articulated argument that deals substantively with questions of educational history.

This volume contains a collection of essays and discussions which serve as an introduction and guide to current research in the area of drawing inferences from self-selected samples. This topic is of direct interest to a professional audience of survey researchers, pollsters, market researchers, policymakers, statisticians, demographers, economists, and sociologists. The essays themselves and their associated critical discussions are clear and careful; the contributors are among the foremost experts in the field.

This book presents a theory as well as methods to understand and to purposively influence complex systems. It suggests a theory of complex systems as nested systems, i. e. systems that enclose other systems and that are simultaneously enclosed by even other systems. According to the theory presented, each enclosing system emerges through time from the generative activities of the systems they enclose. Systems are nested and often emerge unplanned, and every system of high dynamics is enclosed by a system of slower dynamics. An understanding of systems with faster dynamics, which are always guided by systems of slower dynamics, opens up not only new ways to understanding systems, but also to effectively influence them. The aim and subject of this book is to lay out these thoughts and explain their relevance to the purposive development of complex systems, which are exemplified in case studies from an urban system. The interested reader, who is not required to be familiar with system-theoretical concepts or with theories of emergence, will be guided through the development of a theory of emergent nested systems. The reader will also learn about new ways to influence the course of events - even though the course of events is, in principle, unpredictable, due to the ever-new emergence of real novelty.

Sociology in Portugal provides the first English-language account of the history of sociology in Portugal from 1945 to the present day. Banned by the fascist regime until 1974, the institutionalization of sociology as an academic discipline came relatively late. Understanding academic disciplines as institutionalized struggles over meaning, Filipe Carreira da Silva gives a genealogy of sociology in Portugal from its origins in the political-administrative interstices of a dictatorship, through the 'cyclopean moment' of the political revolution of April 1974, which brought about its swift institutionalization and subsequent consolidation in the new democratic regime, to the challenges posed by internationalization since the 1990s. Attempts to define Portugal itself, he demonstrates, have been at the heart of these struggles. Analyzing agents, institutions, contexts, instruments and ideas, Carreira da Silva shows in fascinating detail how the sociological understanding of Portugal evolved from that of a developing society in the 1960s, to that of a modernizing European social formation in the 1980s, to the post-colonial or post-imperial Portugal of today.

This book combines two distinctive topics: data science/image analysis and materials science. The purpose of this book is to show what type of nano material problems can be better solved by which set of data science methods. The majority of material science research is thus far carried out by domain-specific experts in material engineering, chemistry/chemical engineering, and mechanical & aerospace engineering. The book could benefit materials scientists and manufacturing engineers who were not exposed to systematic data science training while in schools, or data scientists in computer science or statistics disciplines who want to work on material image problems or contribute to materials discovery and optimization. This book provides in-depth discussions of how data science and operations research methods can help and improve nano image analysis, automating the otherwise manual and time-consuming operations for material engineering and enhancing decision making for nano material exploration. A broad set of data science methods are covered, including the representations of images, shape analysis, image pattern analysis, and analysis of streaming images, change points detection, graphical methods, and real-time dynamic modeling and object tracking. The data science methods are described in the context of nano image applications, with specific material science case studies.

This open access book shows how to use sensitivity analysis in demography. It presents new methods for individuals, cohorts, and populations, with applications to humans, other animals, and plants. The analyses are based on matrix formulations of age-classified, stage-classified, and multistate population models. Methods are presented for linear and nonlinear, deterministic and stochastic, and time-invariant and time-varying cases. Readers will discover results on the sensitivity of statistics of longevity, life disparity, occupancy times, the net reproductive rate, and statistics of Markov chain models in demography. They will also see applications of sensitivity analysis to population growth rates, stable population structures, reproductive value, equilibria under immigration and nonlinearity, and population cycles. Individual stochasticity is a theme throughout, with a focus that goes beyond expected values to include variances in demographic outcomes. The calculations are easily and accurately implemented in matrix-oriented programming languages such as Matlab or R. Sensitivity analysis will help readers create models to predict the effect of future changes, to evaluate policy effects, and to identify possible evolutionary responses to the environment. Complete with many examples of the application, the book will be of interest to researchers and graduate students in human demography and population biology. The material will also appeal to those in mathematical biology and applied mathematics.

By focusing primarily on the application of structural equation modeling (SEM) techniques in example cases and situations, this book provides an understanding and working knowledge of advanced SEM techniques with a minimum of mathematical derivations. The book was written for a broad audience crossing many disciplines, assumes an understanding of graduate level multivariate statistics, including an introduction to SEM.

Focusing on language and the assessment of its meaning, this volume concentrates on a method of content analysis developed by the author and Goldine Gleser. Applicable to transcripts of speech or verbal texts, this method uses the grammatical clause as its smallest unit of communication, considers whether or not a verb is transitive and involves an object, or is intransitive and describes a state of being. It derives scores on many scales that have been tested for reliability of scoring and for construct validity with concurrently administered measures, such as rating and self-report scales as well as biochemical and pharmacological criteria. Finally, this volume provides detailed descriptions of the clinical and basic research establishing the validity of these scales, so that a reader can locate studies that have pertinence to any special interest area. A major achievement described in this book is the development of computer software that understands grammar and syntax, can parse natural language, knows most of the words in the Merriam-Webster dictionary, has been taught to identify idioms and slang, and is capable of continuing to learn. The program can score all the scales, report whether the scores obtained from a verbal sample are one to three standard deviations from the norms, and suggest APA DSM-IIIR diagnostic classifications the clinician might consider in assessing the patient.

This book introduces and applies the stochastic modeling techniques and the first exit time theory in demography through describing the theory related to the health state of a population and the introduced health state function. The book provides the derivation and classification of the human development stages. The data fitting techniques and related programs are also presented. Many new and old terms are explored and quantitatively estimated, especially the health state or "vitality" of a population, the deterioration and related functions, as well as healthy life expectancy. The book provides the appropriate comparative applications and statistics as connecting tools accompanied by the existing literature, and as such it will be a valuable source to demographers, health scientists, statisticians, economists and sociologists.

Concept analysis is an established genre of inquiry in nursing, introduced in the 1970s. Currently, over 100 concept studies are published annually, yet the methods used within this field have rarely been questioned. In Concept Analysis in Nursing: A New Approach, Paley provides a critical analysis of the philosophical assumptions that underpin nursing's concept analysis methods. He argues, provocatively, that there are no such things as concepts, as traditionally conceived. Drawing on Wittgenstein and Construction Grammar, the book first makes a case for dispensing with the traditional concept of a 'concept', and then provides two examples of a new approach, examining the use of 'hope' and 'moral distress'. Casting doubt on the assumption that 'hope' always stands for an 'inner' state of the person, the book shows that the word's function varies with the grammatical construction it appears in. Similarly, it argues that 'moral distress' is not the name of a mental state, but a normative classification used to bolster a narrative concerning nursing's identity. Concept Analysis in Nursing is a fresh and challenging book written by a philosopher interested in nursing. It will appeal to researchers and postgraduate students in the areas of nursing, health, philosophy and linguistics. It will also interest those familiar with the author's previous book, Phenomenology as Qualitative Research.

This book examines the only-child experience of growing up without siblings and how it affects different life-stages. Little is published on the growing phenomenon of only children. It includes comparative research findings. It provides insights for psychotherapeutic practice.This book examines only-child experience in global perspective and offers an insight into the dilemmas and challenges only-children face as adults. Explored from both a social and psychological perspective, it reveals the complexity and multidimensional nature of the private and public worlds of the only-child.

This book engages readers via the international contributions from "home" field sites around the world and international authors. Importantly, the various chapters address a wide spectrum of educational contexts - ranging from higher education, to K-12 public and private schools, to prison schools. The realistic accounts portrayed in each of the chapters address how local collaborations are instantiated through the research process, from access and data collection to the write-up phases. The major themes that emerge across the chapters highlight 1) positionality and negotiation of multiple roles, i.e., researcher, educator, colleague, friend, community member; 2) reconciling multiple, hybrid, and intersectional identities with varying insider/outsider statuses vis-a-vis research participants; 3) resulting power dynamics in connection to relational identities - sometimes conflicting, consolidating, equalizing, and/or elevating; 4) innovative methodological responses to these dilemmas; and 5) integrated research designs and research ethics, offering possibilities for participation and insights on the social impact of research findings. Each of the book's chapters thus individually and collectively treat and resolve local ways of doing home (field) work and highlight the creation and sharing of knowledge among researchers and research participants.

This book situates binge watching as one of several new television viewing behaviors which collectively contribute to a fundamental change in the way we view television today. Simply put, binge watching changes, or has the potential to change, everything: Engagement, immersion, attention to content and other devices, identification with characters and social engagement with fellow viewers, as well as content choices, and cable and over-the-top (OTT) subscription rates. Binge watching has quickly become a new norm in television viewing across audiences. Binge Watching reviews historically significant advancements in the television industry and in technology that better enable binge watching, such as timeshifting, increasing quantity and (sometimes) quality of content, as well as distribution strategies and suggestions algorithms employed by OTT providers. We situate binge watching as human-centered, that is, driven by innate human needs and wants, such as a desire to consume well-constructed stories and to connect with others. We also review the current state of academic binge watching research-from motives and habituation to the (over-pathologizing) addiction-based studies. This text concludes with a synopsis of the central arguments made and identifies several areas for future research.

Classic Grounded Theory: Applications With Qualitative and Quantitative Data provides practical "how to" guidance for doing grounded theory (GT) using the classic approach articulated by Barney Glaser. The authors emphasize the philosophical flexibility of classic GT as a "full package" approach that can be applied to any study and any type of data where the goal is to discover and generate a conceptually integrated theory. Drawing on the experiences of novice researchers who have participated in GT troubleshooting seminars, the book provides step-by-step guidance on undertaking a research study that stays true to the classic GT practice paradigm.

Belonging, Solidarity and Expansion in Social Policy examines processes of social policy formation and shifting solidarities from the perspective of the actors most affected. Using the examples of nineteenth century mutual benefit societies in the UK and Germany, and EU level social policy, it shows empirically how actors are able to shift their solidarities towards strangers and reveals the argumentative patters concerning such a transformation. The book's innovative research programme provides theoretical and empirical insights on the question regarding the relationship of belonging and social policy. It offers a new theory on the formation of redistributive preferences based on an approach combining theories of solidarity and structural incentives. The analysis shows how these preferences are shaped by available institutional alternatives, cost-benefit-calculations and identity-oriented interests, and thus offers new empirical evidence on how individuals are able to reintegrate wider identities and align their solidarities also at the European level.

This introductory textbook presents research methods and data analysis tools in non-technical language. It explains the research process and the basics of qualitative and quantitative data analysis, including procedures and methods, analysis, interpretation, and applications using hands-on data examples in QDA Miner Lite and IBM SPSS Statistics software. The book is divided into four parts that address study and research design; data collection, qualitative methods and surveys; statistical methods, including hypothesis testing, regression, cluster and factor analysis; and reporting. The intended audience is business and social science students learning scientific research methods, however, given its business context, the book will be equally useful for decision-makers in businesses and organizations.

This book situates binge watching as one of several new television viewing behaviors which collectively contribute to a fundamental change in the way we view television today. Simply put, binge watching changes, or has the potential to change, everything: Engagement, immersion, attention to content and other devices, identification with characters and social engagement with fellow viewers, as well as content choices, and cable and over-the-top (OTT) subscription rates. Binge watching has quickly become a new norm in television viewing across audiences. Binge Watching reviews historically significant advancements in the television industry and in technology that better enable binge watching, such as timeshifting, increasing quantity and (sometimes) quality of content, as well as distribution strategies and suggestions algorithms employed by OTT providers. We situate binge watching as human-centered, that is, driven by innate human needs and wants, such as a desire to consume well-constructed stories and to connect with others. We also review the current state of academic binge watching research-from motives and habituation to the (over-pathologizing) addiction-based studies. This text concludes with a synopsis of the central arguments made and identifies several areas for future research.

This book turns the traditional approach to student success on its head by examining the learning habits of successful students based on what they have told us about their learning strategies, on what they do to succeed in college, and on the teaching practices they think best foster their learning. This approach is in stark contrast to most recent studies of learning at the college level which focus on what students need to do to succeed, but are written from the point of view of "experts" who provide advice to struggling students. Learning from the Learners: Successful College Students Share Their Effective Learning Habits is based on what "expert" students tell us about what they - as learners - do to succeed. It is grounded in a 10-year study that rests on a rich qualitative data set that includes open-ended survey responses gathered on a term-by term basis and in depth interviews during the freshman and junior years with over 700 students of diverse backgrounds. Additionally, since many students interviewed were the first in their family to attend college and from backgrounds traditionally underserved by higher education, the book's insights will be of particular interest to educators elsewhere who are increasingly expected to help similar students succeed. Themes include student success, academic challenges, diversity, pedagogy, and technology in the classroom. No other book on the widely discussed subject of student success relies on such a wealth of quantitative and qualitative data about what works from the point of view of students themselves.

Researchers and students who use empirical investigation in their work must go through the process of selecting statistical methods for analyses, and they are often challenged to justify these selections. This book is designed for readers with limited background in statistical methodology who seek guidance in defending their statistical decision-making in the worlds of research and practice. It is devoted to helping students and scholars find the information they need to select data analytic methods, and to speak knowledgeably about their statistical research processes. Each chapter opens with a conundrum relating to the selection of an analysis, or to explaining the nature of an analysis. Throughout the chapter, the analysis is described, along with some guidance in justifying the choices of that particular method. Designed to offer statistical knowledge to the non-specialist, this volume can be used in courses on research methods, or for courses on statistical applications to biological, medical, life, social, or physical sciences. It will also be useful to academic and industrial researchers in engineering and in the physical sciences who will benefit from a stronger understanding of how to analyze empirical data. The book is written for those with foundational education in calculus. However, a brief review of fundamental concepts of probability and statistics, together with a primer on some concepts in elementary calculus and matrix algebra, is included. R code and sample datasets are provided.

This book explores the complex relationship between public health research and policy, employing tobacco control and health inequalities in the UK as contrasting case studies. It draws on extensive qualitative data to demonstrate why it makes more sense to focus on ideas, rather than evidence, as the unit of analysis when studying public health knowledge exchange. The book goes on to outline a four-genre typology of ideas, inspired by the work of Max Weber and Bruno Latour, which helps explain both the disjuncture between health inequalities research and policy and the recent spate of policy activity in tobacco control. It argues that focusing on research-informed ideas usefully draws attention to the centrality of values, politics and advocacy for public health debates.

Netnography has become an essential tool for qualitative research in the dynamic, complex, and conflicted worlds of contemporary technoculture. Shaped by academic fields, industries, national contexts, technologies and platforms, and languages and cultures for over two decades, netnography has impacted the research practices of scholars around the world. In this volume, 34 researchers present 19 chapters that examine how they have adapted netnography and what those changes can teach us. Positioned for students and researchers in academic and professional fields, this book examines how we can better use netnographic research to understand the many ways networked technologies affect every element of contemporary business life and consumer existence. Netnography Unlimited provides an unprecedented new look at netnography. From COVID-19 to influencer empathy, gambling and the Dark Web to public relations and the military, AI and more-than-human netnography to video-streaming and auto-netnography, there has never been a wider or deeper treatment of technocultural netnographic research in one volume. Readers will learn what kind of work they can do with netnography and gain an up-to-date understanding of the most pressing issues and opportunities. This book is a must-read for those interested in technology, research methods, and contemporary culture.

Few subjects of social scientific inquiry need interpretive analysis more than the topic of racial politics, yet most US political science employs a narrowly behavioralist orientation. This book argues that it is time for political scientists studying race to more fully engage the issues that generate its political significance. Drawing on the work of interpretive political scholars and methods, Ron Schmidt, Sr. addresses core questions regarding racial politics in the US to demonstrate the value of using interpretive methods to better understand the meaning and significance of political actions, structures and conflicts involving racial identities-not instead of behavioral research but as a necessary addition. Interpreting Racial Politics in the United States will greatly enhance the evolving conversations concerning race and inequality within the US. It will be of great interest to students and scholars of politics and sociology, but also to those interested in deepening their understanding of racial politics.

In the space of three years, from 2009 to 2012 Bernie Madoff, Tom Petters and R. Allen Stanford were all convicted for running multi-billion dollar Ponzi schemes. These three schemes alone have had the largest financial take in U.S. history. But what role does the economy and legislation play in the occurrences of Ponzi schemes? What is the nature of Ponzi schemes and what are their tools and mechanisms? What can we know about Ponzi perpetrators? Unraveling the answers to these questions (and many more), Marie Springer provides the first representative portrait of Ponzi schemes, their perpetrators, and their victims. Adopting a multidisciplinary approach, she begins by presenting an overview of different types of Ponzi schemes. She later explores perpetrators and victims of Ponzi schemes followed by a close examination of economic trends, regulatory changes, and the financial relationship with Ponzi schemes. Other key features include: * A non-technical overview of both offender based and offense-based approaches of studying this form of fraud. * Examples of Ponzi schemes and Ponzi schemers. * A wealth of descriptive statistics on known federal cases from the 1960s until the present to quantify this specific form of fraud. Broadening our understanding of Ponzi schemes as a form of white-collar crime, The Politics of Ponzi Schemes provides an excellent foundation for students and practitioners of public administration, banking, as well as investors, finance and accounting, law enforcement officers, legislators and regulators.