The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice. These related aspects of survey methodology rarely appear together under a single connected roof, making this book a unique combination of materials for teaching, research and practice in survey sampling. Basic knowledge of probability theory and statistical inference is assumed, but no prior exposure to survey sampling is required. The first part focuses on the design-based approach to finite population sampling. It contains a rigorous coverage of basic sampling designs, related estimation theory, model-based prediction approach, and model-assisted estimation methods. The second part stems from original research conducted by the authors as well as important methodological advances in the field during the past three decades. Topics include calibration weighting methods, regression analysis and survey weighted estimating equation (EE) theory, longitudinal surveys and generalized estimating equations (GEE) analysis, variance estimation and resampling techniques, empirical likelihood methods for complex surveys, handling missing data and non-response, and Bayesian inference for survey data. The third part provides guidance and tools on practical aspects of large-scale surveys, such as training and quality control, frame construction, choices of survey designs, strategies for reducing non-response, and weight calculation. These procedures are illustrated through real-world surveys. Several specialized topics are also discussed in detail, including household surveys, telephone and web surveys, natural resource inventory surveys, adaptive and network surveys, dual-frame and multiple frame surveys, and analysis of non-probability survey samples. This book is a self-contained introduction to survey sampling that provides a strong theoretical base with coverage of current research trends and pragmatic guidance and tools for conducting surveys.

This is the first volume addressing the importance of teaching quality of life theory and methodology in different domains: social sciences, philosophy, sociology, political science, marketing, education, urbanism, statistics, economics, online learning, public health, sports, and constraint contexts in terms of their relationship with the Capability Approach. The chapters are written by important authors from Europe, North America, Asia, Latin America, Africa and Oceania, and present the syllabus and references of courses, making this volume important and necessary to university professors, students as well as teachers in general.

The representation of abstract data and ideas can be a difficult and tedious task to handle when learning new concepts; however, the advances of emerging technology have allowed for new methods of representing such conceptual data. The Handbook of Research on Maximizing Cognitive Learning through Knowledge Visualization focuses on the use of visualization technologies to assist in the process of better comprehending scientific concepts, data, and applications. Highlighting the utilization of visual power and the roles of sensory perceptions, computer graphics, animation, and digital storytelling, this book is an essential reference source for instructors, engineers, programmers, and software developers interested in the exchange of information through the visual depiction of data. The many academic areas covered in this publication include, but are not limited to: Electronic Media Mathematical Thinking Multisensory Applications Sensory Extension

Immigration to America is an issue that often sparks intense emotional reactions from passion and compassion to anger and even rage. Often missing from the dialogue, however, is discussion of the strengths of immigrant newcomers the abilities and positive characteristics they bring as individuals and families to our country, and how these contribute to the agency, growth, and vitality of America. This book was intended to move the discussion of immigration, generally speaking, and of immigrant families specifically, to include how and in what ways new immigrants to America (those arriving within the past thirty years) have changed the social and geocultural landscape of this country in positive, beneficial, and valuable ways. The book is comprised of nineteen chapters written by scholars with expertise on immigrant families representing every corner of the globe from Africa and India to Europe and Central America. In each chapter, the unique factors, processes, and worldviews which help shape and mold the immigrant experience are articulated, as are the strengths immigrant newcomers bring to America. In addition, beyond explicating the strengths of immigrant families, each of the nineteen contributing chapters focuses on the implications of these strengths for families, communities, and the culture. Thus, the book provides a springboard from which to answer the application and "what now" questions for those who work with immigrant families in a variety of capacities from academicians and researchers to educators and human-service providers."

This book develops a philosophico-methodological analysis of prediction and its role in economics. Prediction plays a key role in economics in various ways. It can be seen as a basic science, as an applied science and in the application of this science. First, it is used by economic theory in order to test the available knowledge. In this regard, prediction has been presented as the scientific test for economics as a science. Second, prediction provides a content regarding the possible future that can be used for prescription in applied economics. Thus, it can be used as a guide for economic policy, i.e., as knowledge concerning the future to be employed for the resolution of specific problems. Third, prediction also has a role in the application of this science in the public arena. This is through the decision-making of the agents - individuals or organizations - in quite different settings, both in the realm of microeconomics and macroeconomics. Within this context, the research is organized in five parts, which discuss relevant aspects of the role of prediction in economics: I) The problem of prediction as a test for a science; II) The general orientation in methodology of science and the problem of prediction as a scientific test; III) The methodological framework of social sciences and economics: Incidence for prediction as a test; IV) Epistemology and methodology of economic prediction: Rationality and empirical approaches and V) Methodological aspects of economic prediction: From description to prescription. Thus, the book is of interest for philosophers and economists as well as policy-makers seeking to ascertain the roots of their performance. The style used lends itself to a wide audience.

A Dilemmatic Approach to Education offers a unique approach to educational theorizing that enriches the way we think about education. Problematizing conventional education theory, it presents an unorthodox thesis that education is defined by an internal conflict between competing core values, which in turn produce core dilemmas. The book locates the theoretical foundations of a dilemmatic approach in the works of thinkers such as G. H. Mead, Gert Biesta, Luca Tateo, and Etienne Wenger. It then relates this dilemmatic approach to a general theory of education, partly defined as the realization of the 'good', conceived in terms of competing core values. The book uses Schwartz's theory of universal values as a framework for disclosing the core values competing in educational models. The dilemmatic nature of educational leadership (including social justice leadership) is set within the context of leading leadership theories and illustrated through exemplary leadership dilemmas. Lastly, the book identifies ethical self-understanding and communities-of-practice as practically affecting a dilemmatic approach to education. Presenting an innovative understanding of the nature and meaning of education, this book will be of great interest to academics, researchers and post-graduate students in the field of educational theory and educational research, as well as those interested in a deep engagement about the meaning of education.

This book is devoted to the modeling and understanding of complex urban systems. This second volume of Understanding Complex Urban Systems focuses on the challenges of the modeling tools, concerning, e.g., the quality and quantity of data and the selection of an appropriate modeling approach. It is meant to support urban decision-makers-including municipal politicians, spatial planners, and citizen groups-in choosing an appropriate modeling approach for their particular modeling requirements. The contributors to this volume are from different disciplines, but all share the same goal: optimizing the representation of complex urban systems. They present and discuss a variety of approaches for dealing with data-availability problems and finding appropriate modeling approaches-and not only in terms of computer modeling. The selection of articles featured in this volume reflect a broad variety of new and established modeling approaches such as: - An argument for using Big Data methods in conjunction with Agent-based Modeling; - The introduction of a participatory approach involving citizens, in order to utilize an Agent-based Modeling approach to simulate urban-growth scenarios; - A presentation of semantic modeling to enable a flexible application of modeling methods and a flexible exchange of data; - An article about a nested-systems approach to analyzing a city's interdependent subsystems (according to these subsystems' different velocities of change); - An article about methods that use Luhmann's system theory to characterize cities as systems that are composed of flows; - An article that demonstrates how the Sen-Nussbaum Capabilities Approach can be used in urban systems to measure household well-being shifts that occur in response to the resettlement of urban households; - A final article that illustrates how Adaptive Cycles of Complex Adaptive Systems, as well as innovation, can be applied to gain a better understanding of cities and to promote more resilient and more sustainable urban futures.

This book addresses problems and challenges that face educational measurement at a time when multipurpose usage of observational data from educational assessments, tests and international surveys has become a growing global trend. While the construction of educational measures and use of educational data offer many opportunities, they also require awareness of the numerous threats to validity and methods of reducing such threats. Written by leading international scholars, the book demonstrates the complexity of educational measurement by addressing three broad and interrelated topics. The first part discusses cognitive abilities, including studies on fluid intelligence, its improvement and its links to aptitude tests for admission to higher education. The second part focuses on the effects of school and teacher-related factors on school outcomes at individual and group levels, and uses international studies to analyze causes. The third part presents analytical techniques and measurement methods to improve reliability, for example factor analysis using Bayesian estimators, bi-factor analysis, model misfit and solutions, and discusses balance issues in reporting test results. The book provides examples of state-of-the-art analytical techniques for pursuing fundamental research problems, and the latest advances in measurement methods, with a focus on validity improvement. Eminent researchers discuss and provide insights into questions such as: Is it possible to train individuals to think at a higher level than normal for their age? What determines prospective preschool teachers' skill to perceive mathematics-related preschool situations? Can international indicator design and instruments be improved to use trends and national context variables more efficiently? Can indicator data at national, school and class levels be compared easier? Are value-added measures of teacher effectiveness valid when it comes to hiring and promoting teachers? Is money better spent on teacher training than on smaller class-size? How do theory and empirical statistical data intertwine in building structures of understanding? This book is inspired by the career and personal influence of the Swedish scholar Professor Jan-Eric Gustafsson, renowned for his research on individual differences, especially the structure of cognitive abilities, and on the effects of education on knowledge and skills.

The book provides an argument why realism is a viable metatheoretical framework for psychological science. By looking at some variations of realism such as scientific realism, critical realism, situational realism and Ferraris' new realism, a realist view of science is outlined that can feature as a metatheory for psychological science. Realism is a necessary correction for the mythical image of science responsible for and maintained by a number of dichotomies and polarities in psychology. Thus, the quantitative-qualitative dichotomy, scientist-practitioner polarity and positivist-constructionist opposition feed off and maintains a mythic image of science on levels of practice, methods and metatheory. Realism makes a clear distinction between ontology and epistemic access to reality, the latter which easily fits with softer versions of constructionism, and the former which grounds science in resistance and possibility, loosely translated as criticism. By taking science as a critical activity an issue such as the quantitative imperative looses its defining force as a hallmark of science - it provides epistemic access to certain parts of reality. In addition, essentially critical activities characteristic of various qualitative approaches may be welcomed as proper science. Academics, professionals and researchers in psychology would find value in situating their scholarly work in a realist metatheory avoiding the pitfalls of traditional methodologies and theories.

The Principles of Knowledge Creation is an essential guide to the various methods of collating, explaining and understanding research data. It provides an overview of the possibilities and opportunities that exist in the research world, and demonstrates the pluralism of scientific approaches and methods. The book explores research tools and techniques in the context of objectifying and interpreting science, and the application of critical science methods. An exhaustive range of research methods is examined by subject specialists from varied social science backgrounds, including management, sociology, anthropology, philosophy, psychology and pedagogy. They illustrate that no single knowledge creation approach can be applied to all enquiries or studies, and that different interpretations and approaches can lead to the founding of new knowledge and explanations. This fascinating, hands-on approach promises to inspire students and researchers to experiment with new and different methods of solving their research problems. As such, it will strongly appeal to all those with an interest in research and research data within the social sciences.

Students of psychology have long faced the problem of tracking down original research articles, which are generally scattered in hard-to-find journals or presented in watered-down form in text books. In Introducing Psychological Research, Philip Banyard and Andrew Grayson have resolved this dilemma once and for all by providing detailed summaries and background information for sixty-three of the most influential studies in psychology.

The studies included in this remarkable reference illustrate the breadth of psychological research covering the areas of biological psychology, comparative psychology, social psychology, human diversity, developmental psychology, cognitive psychology, and health psychology. Among the ground- breaking trials highlighted are Piaget's cognitive approach; the jigsaw technique; the prison simulation; the Robbers' Cave; and the Minimal Group Studies. Contributors to this collection include Stanley Milgram, Philip Zimbardo, Henry Tajfel, B. F. Skinner, Niko Tinbergen, Sandra Bem, Carol Gilligan, Sigmund Freud, and Albert Bandura.

Emphasizing meaning and concepts, not just symbols and numbers Statistics for Psychology, 6th edition places definitional formulas center stage to emphasize the logic behind statistics and discourage rote memorization. Each procedure is explained in a direct, concise language and both verbally and numerically. MyStatLab is an integral part of the Statistics course. MyStatLab gives students practice with hundreds of homework problems. Every problem includes tools to help students understand and solve each problem - and grades all of the problems for instructors. MyStatLab also includes tests, quizzes, eText, a Gradebook, a customizable study plan, and much more. Learning Goals Upon completing this book, readers should be able to: * Know both definitional and numerical formulas and how to apply them * Understand the logic behind each formula * Expose students to the latest thinking in statistical theory and application * Prepare students to read research articles * Learn how to use SPSS

A volume in Educational Design and Technology in the Knowledge Society Series Editors Stewart Marshall and Wanjira Kinuthia The field of educational technology is one that requires a high level of problem solving critical thinking, and interpersonal skills to solve problems that are often complex and multi-dimensional. Analyzing cases provides an opportunity to explore professional issues through an environment that allows action researchers, practitioners and students to analyze and reflect on relevant theories and techniques to understand a real problem, ponder solutions and consequences, and develop responses. Hence, this book seeks to provide relevant authentic and realistic cases for such exploration. This book is guided by the premise that the cases presented will serve as a platform for researchers, practitioners and students to share experiences and best practices in both developing and developed contexts, in an endeavor to bridge the knowledge divide. Throughout the book, various challenges are addressed and educational technology tools and strategies are subsequently employed in an effort to minimize the issues. Notwithstanding, the book also highlights successes and accomplishments in areas and contexts in which educational technology is being harnessed, including reaching more learners, providing more affordable options, and building capacity. Because of the interdisciplinary and multidisciplinary nature of the field and the cases, this book is useful not only in educational technology, but also in other fields. A "Facilitator Guide" is provided for each chapter for educators with their learners.

This book presents a collection of papers illustrating the variety of "experimental" methodologies used to study voting. Experimental methods include laboratory experiments in the tradition of political psychology, laboratory experiments with monetary incentives, in the economic tradition, survey experiments (varying survey, question wording, framing or content), as well as various kinds of field experimentation. Topics include the behavior of voters (in particular turnout, vote choice, and strategic voting), the behavior of parties and candidates, and the comparison of electoral rules.

This book is designed as a gentle introduction to the fascinating field of choice modeling and its practical implementation using the R language. Discrete choice analysis is a family of methods useful to study individual decision-making. With strong theoretical foundations in consumer behavior, discrete choice models are used in the analysis of health policy, transportation systems, marketing, economics, public policy, political science, urban planning, and criminology, to mention just a few fields of application. The book does not assume prior knowledge of discrete choice analysis or R, but instead strives to introduce both in an intuitive way, starting from simple concepts and progressing to more sophisticated ideas. Loaded with a wealth of examples and code, the book covers the fundamentals of data and analysis in a progressive way. Readers begin with simple data operations and the underlying theory of choice analysis and conclude by working with sophisticated models including latent class logit models, mixed logit models, and ordinal logit models with taste heterogeneity. Data visualization is emphasized to explore both the input data as well as the results of models. This book should be of interest to graduate students, faculty, and researchers conducting empirical work using individual level choice data who are approaching the field of discrete choice analysis for the first time. In addition, it should interest more advanced modelers wishing to learn about the potential of R for discrete choice analysis. By embedding the treatment of choice modeling within the R ecosystem, readers benefit from learning about the larger R family of packages for data exploration, analysis, and visualization.

IBM SPSS Statistics 27 Step by Step: A Simple Guide and Reference, seventeenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Output for each procedure is explained and illustrated, and every output term is defined. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. This book covers the basics of statistical analysis and addresses more advanced topics such as multidimensional scaling, factor analysis, discriminant analysis, measures of internal consistency, MANOVA (between- and within-subjects), cluster analysis, Log-linear models, logistic regression, and a chapter describing residuals. The end sections include a description of data files used in exercises, an exhaustive glossary, suggestions for further reading, and a comprehensive index. IBM SPSS Statistics 27 Step by Step is distributed in 85 countries, has been an academic best seller through most of the earlier editions, and has proved an invaluable aid to thousands of researchers and students. New to this edition: Screenshots, explanations, and step-by-step boxes have been fully updated to reflect SPSS 27 A new chapter on a priori power analysis helps researchers determine the sample size needed for their research before starting data collection.

Ageing, Narrative and Identity: New Qualitative Social Research outlines the methodology and results of the Fiction and the Cultural Mediation of Ageing Project (FCMAP), led by a research team from Brunel University, UK. In investigating how older people resist stereotypical cultural representations of ageing, the study demonstrates the importance of narrative understanding to social agency. This book will therefore be of interest not only to students and researchers in the growing interdisciplinary field of Ageing Studies, but also to those with interests in Social Policy, Social Narrative and wider socio-cultural conceptions of the interaction between representation and everyday life.

This book is the first to comprehensively cover research methods for building occupant behavior. As this is of growing importance for building design and for building performance optimization, the book aims to provide a sound scientific basis for experimental studies in this field. It introduces the reader to fundamental questions about the topic and unfolds the different fields related to occupant actions and comfort. This is followed by more general questions about developing an appropriate research method and experimental design. A comprehensive overview of sensors for monitoring environmental and also behavioral and action-related quantities helps to set up an experiment. In this context, different experimental environments and data collection methods (in-situ, laboratories, surveys) are introduced and discussed in terms of their suitability for the respective research question. Furthermore, data management and reporting is addressed. The book concludes with fundamental challenges in conducting occupant studies, with chapters on ground truth, ethics and privacy.

This book systematically assesses the value systems of active Muslims around the globe. Based on a multivariate analysis of recent World Values Survey data, it sheds new light on Muslim opinions and values in countries such as Indonesia, Iran, Tunisia, Egypt and Turkey. Due to a lack of democratic traditions, sluggish economic growth, escalating religiously motivated violence, and dissatisfaction with ruling elites in many Muslim countries, the authors identify a crisis and return to conservative values in the Muslim world, including anti-Semitism, religious and sexual intolerance, and views on democracy and secularism, business and economic matters. Based on these observations, they offer recommendations for policymakers and civil societies in Muslim countries on how to move towards tolerance, greater democratization and more rapid economic growth.

The book presents the lectures delivered during a short course held at Urbino University in summer 2015 on qualitative theory of dynamical systems, included in the activities of the COST Action IS1104 "The EU in the new economic complex geography: models, tools and policy evaluation". It provides a basic introduction to dynamical systems and optimal control both in continuous and discrete time, as well as some numerical methods and applications in economic modelling. Economic and social systems are intrinsically dynamic, characterized by interdependence, nonlinearity and complexity, and these features can only be approached using a qualitative analysis based on the study of invariant sets (equilibrium points, limit cycles and more complex attractors, together with the boundaries of their basins of attraction), which requires a trade-off between analytical, geometrical and numerical methods. Even though the early steps of the qualitative theory of dynamical systems have been in continuous time models, in economic and social modelling discrete time is often used to describe event-driven (often decision-driven) evolving systems. The book is written for Ph.D. and master's students, post-doctoral fellows, and researchers in economics or sociology, and it only assumes a basic knowledge of calculus. However it also suggests some more advanced topics.

This book examines the concept of meaning and our general understanding of reality in a legal and philosophical context. Starting from the premise that meaning is a matter of linguistic and other forms of articulation, it considers the inherent philosophical consequences. Part I presents Klages', Derrida's, Von Hofmannsthal's and Wittgenstein's explorations of silence as a source of articulation and meaning. Debates about 20th century psychologism gave the attitude concept a pivotal role; it illustrates the importance of the discovery that a word is globally qualified as 'the basic unit of language'. This is mirrored in the fact that we understand reality as a matter of particles and thus interpret the real as a component of an all-embracing 'particle story'. Each chapter of the book focuses on an aspect of legal semiotics related to the chapter's theme: for instance on the meaning of a Judge's 'Saying for Law', on law students training in varying attitudes or on the ties between law and language. Part II of the book illustrates our general understanding of reality as a matter of particles and partitioning, and examines texts that prove that particle thinking is basic for our meaning concept. It shows that physics, quantum theory, holism, and modern brain research focusing on human linguistic capabilities, confirm their ties to the particle story. In contrast, the book concludes that partitions and particles are neither a fact in the history of the cosmos nor a determinant of knowledge and the sciences, and that meaning is a process: a constellation rather than a fixation. This is manifest once one understands meaning as the result of continuously changing attitudes, which create our narratives on cosmos and creation. The book proposes a new key for meaning: a linguistic occurrence anchored in dimensions of human narrativity.

The second edition of this guide to basic reference sources in the social sciences contains 2200 entries. In addition to revising and substantially enlarging the chapters on reference sources, the author has added a chapter on geography and one on business that is distinct from economics. Since the publication of the first edition, there have been two obvious developments in information storage and retrieval: the rapid development of online databases and the development of CD-ROM. Instead of devoting a separate chapter to these developments, the book incorporates online databases, CD-ROM and other forms of data sources into the text. In addition, there is a brief introduction to these developments. Although the general deadline for inclusion in the volume was December 1988, quite a few titles published in 1989 are included. The volume consists of two parts: the social sciences in general, dealing with the nature of the social sciences, bibliographical needs and usage of social scientists, research resources and reference sources in the social sciences in general; and sub-disciplines of the social sciences, including cultural anthropology, history, law, political science, psychology, and sociology. Reference sources for each sub-discipline in part two (and some chapters in part one) are broadly classified into four sections: access to sources, sources of information, periodicals, and additional reference sources. Each secion is further divided as follows. Under the access to sources section, headings start with guides, followed in general by bibliographies of bibliographies, bibliographies, theses and dissertations, reviews, indexes, abstracts, and contents reproduction. In the sources of information section, headings are arranged in the following sequence: primary sources, encyclopaedias, dictionaries, directories, biographies, statistical sources, and handbooks, yearbooks and the like. Headings may be further divided by subject, depending on the number of sources. Titles under each heading and sub-heading are arranged alphabetically by title. All titles are suppled with ISBN and/or ISSN number, if known.

This monograph set presents a consistent and self-contained framework of stochastic dynamic systems with maximal possible completeness. Volume 1 presents the basic concepts, exact results, and asymptotic approximations of the theory of stochastic equations on the basis of the developed functional approach. This approach offers a possibility of both obtaining exact solutions to stochastic problems for a number of models of fluctuating parameters and constructing various asymptotic buildings. Ideas of statistical topography are used to discuss general issues of generating coherent structures from chaos with probability one, i.e., almost in every individual realization of random parameters. The general theory is illustrated with certain problems and applications of stochastic mathematical physics in various fields such as mechanics, hydrodynamics, magnetohydrodynamics, acoustics, optics, and radiophysics.

Recent years in North America have seen a rapid development in the area of crime analysis and mapping using Geographic Information Systems (GIS) technology. In 1996, the US National Institute of Justice (NIJ) established the crime mapping research center (CMRC), to promote research, evaluation, development, and dissemination of GIS technology. The long-term goal is to develop a fully functional Crime Analysis System (CAS) with standardized data collection and reporting mechanisms, tools for spatial and temporal analysis, visualization of data and much more. Among the drawbacks of current crime analysis systems is their lack of tools for spatial analysis. For this reason, spatial analysts should research which current analysis techniques (or variations of such techniques) that have been already successfully applied to other areas (e.g., epidemiology, location-allocation analysis, etc.) can also be employed to the spatial analysis of crime data. This book presents a few of those cases.

Using qualitative research data on Mexican/Mexican Americans and their historias de exito that center on Mexican centric concepts such as buen trabajador, bien educado, and buena gente, Octavio Pimentel reveals that when social networks guide personal goals in these communities, goals become community-oriented rather than personally-oriented.