This book explores the complexities of investigating minorities, majorities, boundaries and borders and the experiences of researchers who choose to work in these spaces. It examines epistemologies that appear to shape researchers beliefs about the forms of research that are valued in educational research and theory. It also considers the researched and notions of privilege, voice, agency, authority and authenticity. "Researching Mainstreams, Margins and Spaces In-Between" engages with issues of ethics, disclosure, and representation and contends with and seeks to contribute to emerging debates around power and the positioning of researchers and participants. It also considers the motivations that researchers bring in relation to participant transformation and empowerment, and the importance of research that genuinely seeks to explore voice, culture, story and identity.

Resisting the backdrop of standardisation, performativity and accountability agendas pervading governments and organisations, this book attends to the stories of real people, to understand regional and rural landscapes, to examine culture and the human condition, and to give voice to those at the fringes of society who remain largely neglected and unheard. This text therefore provides an overview of the many types of research being engaged in, revealing the value of different kinds of research, and gaining insight into how meaning and findings are disseminated in research and educational sectors, and back into the contexts where research takes place.

The book will interest early career researchers and academics internationally. It will also appeal to postgraduate students completing research methods courses in the field of education, and the wider social sciences."

Longitudinal Analysis provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change. Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building process. The core longitudinal models and their extensions are presented within a multilevel modeling framework, paying careful attention to the modeling concerns that are unique to longitudinal data. Written in a conversational style, the text provides verbal and visual interpretation of model equations to aid in their translation to empirical research results. Overviews and summaries, boldfaced key terms, and review questions will help readers synthesize the key concepts in each chapter. "

Written for non-mathematically-oriented readers, this text features:

• "
• A description of the data manipulation steps required prior to model estimation so readers can more easily apply the steps to their own data
• An emphasis on how the terminology, interpretation, and estimation" "of familiar general linear models relates to those of more complex models for longitudinal data
• Integrated model comparisons, effect sizes, and statistical inference in each example to strengthen readers understanding of the overall model-building process
• Sample results sections for each example to provide useful templates for published reports
• Examples using both real and simulated data in the text, along with syntax and output for SPSS, SAS, STATA, and M"plus" at www.PilesOfVariance.com to help readers apply the models to their own data

The book opens with the building blocks of longitudinal analysis general ideas, the general linear model for between-person analysis, and between- and within-person models for the variance and the options within repeated measures analysis of variance. Section 2 introduces "unconditional "longitudinal models including alternative covariance structure models to describe within-person fluctuation over time and random effects models for within-person change. "Conditional "longitudinal models are presented in section 3, including both time-invariant and time-varying predictors. Section 4 reviews advanced applications, including alternative metrics of time in accelerated longitudinal designs, three-level models for multiple dimensions of within-person time, the analysis of individuals in groups over time, and repeated measures designs not involving time. The book concludes with additional considerations and future directions, including an overview of sample size planning and other model extensions for non-normal outcomes and intensive longitudinal data.

Class-tested at the University of Nebraska-Lincoln and in intensive summer workshops, this is an ideal text for graduate-level courses on longitudinal analysis or general multilevel modeling taught in psychology, human development and family studies, education, business, and other behavioral, social, and health sciences. The book s accessible approach will also help those trying to learn on their own. Only familiarity with general linear models (regression, analysis of variance) is needed for this text."

This edited volume uses an interdisciplinary approach to art and design that not only reframes but also repositions agendas and actions to address fragmented global systems. Contributors explore the pluriverse of art and design through epistemological and methodological considerations. What kinds of sustainable ways are there for knowledge transfer, supporting plural agendas, finding novel ways for unsettling conversations, unlearning and learning and challenging power structures with marginalised groups and contexts through art and design? The main themes of the book are art and design methods, epistemologies and practices that provide critical, interdisciplinary, pluriversal and decolonial considerations. The book challenges the domination of the white logic of art and design and shifts away from the Anglo-European one-world system towards the pluriverse. The book will be of interest to scholars working in art history, visual studies, arts-based research, and design studies. The Open Access version of this book, available at www.taylorfrancis. com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

One of the more enduring topics of concern for empirically-oriented scholars of law and courts-and political scientists more generally-is how research can be more directly relevant to broader audiences outside of academia. A significant part of this issue goes back to a seeming disconnect between empirical and normative scholars of law and courts that has increased in recent years. Brandon L. Bartels and Chris W. Bonneau argue that being attuned to the normative implications of one's work enhances the quality of empirical work, not to mention makes it substantially more interesting to both academics and non-academic practitioners. Their book's mission is to examine how the normative implications of empirical work in law and courts can be more visible and relevant to audiences beyond academia. Written by scholars of political science, law, and sociology, the chapters in the volume offer ideas on a methodology for communicating normative implications in a balanced, nuanced, and modest manner. The contributors argue that if empirical work is strongly suggestive of certain policy or institutional changes, scholars should make those implications known so that information can be diffused. The volume consists of four sections that respectively address the general enterprise of developing normative implications of empirical research, law and decisionmaking, judicial selection, and courts in the broader political and societal context. This volume represents the start of a conversation on the topic of how the normative implications of empirical research in law and courts can be made more visible. This book will primarily interest scholars of law and courts, as well as students of judicial politics. Other subfields of political science engaging in empirical research will also find the suggestions made in the book relevant.

Micro-Macro Links and Microfoundations in Sociology focuses on two main issues in sociology. Firstly, how macro-conditions can explain macro-outcomes mediated by actor behaviour at the micro-level (micro-macro links). Secondly, how alternative micro-models affect macro-outcomes (microfoundations). The contributions reflect key features of micro-macro modelling in sociology as well as recent progress in this field. The chapters address core features of explanations of social phenomena using micro-macro models, the problem of cooperation, heterogeneity of actors, structural balance, opinion formation, segregation, and problems of micro-macro models that are based on rational choice assumptions. Moreover, the contributions show how different research methods can be applied fruitfully, such as laboratory experiments, equilibrium analysis, and agent-based modelling. As a result, the book can be a guide for graduate students who want to develop their skills in building micro-macro models. In addition, the book provides specialists of the different substantive research areas with up-to-date new developments in their research area. This book was originally published as a special issue of Journal of Mathematical Sociology.

A compilation of authoritative reports from seasoned researchers working in eight different countries on five continents, this volume examines the concept that conditions of local feasibility are constitutive of research practices not simply obstructions to the realization of an ideal. The result documents the effects of political and cultural factors on research projects and offers culturally sensitive researchers a wealth of practical knowledge.

This state-of-the-art volume provides insight into the recent developments in survey research. It covers topics like: survey modes and response effects, bio indicators and paradata, interviewer and survey error, mixed-mode panels, sensitive questions, conducting web surveys and access panels, coping with non-response, and handling missing data. The authors are leading scientists in the field, and discuss the latest methods and challenges with respect to these topics. Each of the book's eight parts starts with a brief chapter that provides an historical context along with an overview of today's most critical survey methods. Chapters in the sections focus on research applications in practice and discuss results from field studies. As such, the book will help researchers design surveys according to today's best practices. The book's website www.survey-methodology.de provides additional information, statistical analyses, tables and figures. An indispensable reference for practicing researchers and methodologists or any professional who uses surveys in their work, this book also serves as a supplement for graduate or upper level-undergraduate courses on survey methods taught in psychology, sociology, education, economics, and business. Although the book focuses on European findings, all of the research is discussed with reference to the entire survey-methodology area, including the US. As such, the insights in this book will apply to surveys conducted around the world.

How do scholars transform qualitative data into analysis? What does making analysis imply? What happens in the space in-between data and finalized analysis is notoriously difficult to talk about. In other parts of the research process, scholars and students are aided by method books that describe the technicalities of generating, processing and sorting through data, handbooks that teach academic writing, and scholarly works that offer meta-level, theoretical perspectives. Yet the path from qualitative data to analysis remains a black box. "Qualitative Analysis in the Making "ventures into this black box. The volume provides a means of speaking about how analyses emerge in the Humanities. Contributors from disciplines such as anthropology, history, and sociology of religion all employ an analytical double take. They revisit one of their analyses, analyzing how this particular analysis came into being. Such analyses of an analysis are neither confessions nor step-by-step recounts of what happened. Rather, the volume argues that speaking of the space in-between requires analytical displacement, and the employment of fresh analytical takes. This approach contributes to demystifying the path from qualitative data to finalized analysis. It invites novel epistemological reflections among scholars, and assists students in improving their analytical skills."

Living through the Covid-19 global pandemic has changed the way that we experience our lives, the way that we relate to one-another, and the way that we engage with the world. Focusing contextually on the initial lockdowns of the pandemic in 2020, this book proposes that art-based research has a central, illuminative role to play in our understanding of unfolding crises. The changes brought on by the global event may not be readily accessible or expressible through traditional academic research. Art-based research offers the opportunity to explore, document, and reflect on the emerging and often ineffable qualities of transformed lives by drawing on emotional, bodily, and interactive aspects of experience. Such an approach allows for meaning-making that makes room for reflexive, interpersonal, and dialogical engagement. The contributions aim to capture and explore lived experiences of the pandemic, as well as begin a discussion about how meaning-making is changing through and beyond the pandemic. This book further explores how the nature and practice of art-based research in itself has been challenged and transformed. The book will be of interest to scholars working in art education, art psychotherapy, consumer research, visual studies, cultural studies, and sociology.

Develop a Deep Understanding of the Statistical Issues of APC Analysis Age-Period-Cohort Models: Approaches and Analyses with Aggregate Data presents an introduction to the problems and strategies for modeling age, period, and cohort (APC) effects for aggregate-level data. These strategies include constrained estimation, the use of age and/or period and/or cohort characteristics, estimable functions, variance decomposition, and a new technique called the s-constraint approach. See How Common Methods Are Related to Each Other After a general and wide-ranging introductory chapter, the book explains the identification problem from algebraic and geometric perspectives and discusses constrained regression. It then covers important strategies that provide information that does not directly depend on the constraints used to identify the APC model. The final chapter presents a specific empirical example showing that a combination of the approaches can make a compelling case for particular APC effects. Get Answers to Questions about the Relationships of Ages, Periods, and Cohorts to Important Substantive Variables This book incorporates several APC approaches into one resource, emphasizing both their geometry and algebra. This integrated presentation helps researchers effectively judge the strengths and weaknesses of the methods, which should lead to better future research and better interpretation of existing research.

This book provides an authoritative, state-of-the-art review of tour guiding scholarship and research and aims to foster best practice and to stimulate further study and research on tour guiding across a range of disciplines. It explores how tour guiding theory and practice has evolved over time and what factors have contributed to this. The volume consolidates, synthesises and adds to the knowledge base and foreshadows how current and future trends and issues might impact on tour guiding research and practice in the 21st century. The studies reviewed in this book cover a wide range of contexts in which guided tours are conducted, ranging from city streets to heritage and wildlife tourism attractions, from high-end tourist lodging establishments to national park campgrounds, and from highly developed destinations to very remote ones in both developed and developing countries. The book is well-illustrated and its accessible style with chapter summaries makes it ideal for students as well as researchers.

Offering the first empirically driven assessment of the development, marketisation, regulation and use of online gambling organisations and their products, this book explores the relationship between online gambling and crime. It draws upon quantitative and qualitative data, including textual and visual analyses of e-gambling advertising and the records of player-protection and standards organisations, together with a virtual ethnography of online gambling subcultures, to examine the ways in which gambling and crime have been approached in practice by gamers, regulatory agencies and online gambling organisations. Building upon contemporary criminological theory, it develops an understanding of online gambling as an arena in which risks and rewards are carefully constructed and through which players navigate, employing their own agency to engage with the very real possibility of victimisation. With attention to the manner in which online gambling can be a source of criminal activity, not only on the part of players, but also criminal entrepreneurs and legitimate gambling businesses, Online Gambling and Crime discusses developments in criminal law and regulatory frameworks, evaluating past and present policy on online gambling. A rich examination of the prevalence, incidence and experience of a range of criminal activities linked to gambling on the Internet, this book will appeal to scholars and policy makers in the fields of sociology and criminology, law, the study of culture and subculture, risk, health studies and social policy.

This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the lavaan package, this book is designed to help readers quickly understand LVMs and their analysis in R. The author reviews the reasoning behind the syntax selected and provides examples that demonstrate how to analyze data for a variety of LVMs. Featuring examples applicable to psychology, education, business, and other social and health sciences, minimal text is devoted to theoretical underpinnings. The material is presented without the use of matrix algebra. As a whole the book prepares readers to write about and interpret LVM results they obtain in R. Each chapter features background information, boldfaced key terms defined in the glossary, detailed interpretations of R output, descriptions of how to write the analysis of results for publication, a summary, R based practice exercises (with solutions included in the back of the book), and references and related readings. Margin notes help readers better understand LVMs and write their own R syntax. Examples using data from published work across a variety of disciplines demonstrate how to use R syntax for analyzing and interpreting results. R functions, syntax, and the corresponding results appear in gray boxes to help readers quickly locate this material. A unique index helps readers quickly locate R functions, packages, and datasets. The book and accompanying website at http://blogs.baylor.edu/rlatentvariable/ provides all of the data for the book's examples and exercises as well as R syntax so readers can replicate the analyses. The book reviews how to enter the data into R, specify the LVMs, and obtain and interpret the estimated parameter values. The book opens with the fundamentals of using R including how to download the program, use functions, and enter and manipulate data. Chapters 2 and 3 introduce and then extend path models to include latent variables. Chapter 4 shows readers how to analyze a latent variable model with data from more than one group, while Chapter 5 shows how to analyze a latent variable model with data from more than one time period. Chapter 6 demonstrates the analysis of dichotomous variables, while Chapter 7 demonstrates how to analyze LVMs with missing data. Chapter 8 focuses on sample size determination using Monte Carlo methods, which can be used with a wide range of statistical models and account for missing data. The final chapter examines hierarchical LVMs, demonstrating both higher-order and bi-factor approaches. The book concludes with three Appendices: a review of common measures of model fit including their formulae and interpretation; syntax for other R latent variable models packages; and solutions for each chapter's exercises. Intended as a supplementary text for graduate and/or advanced undergraduate courses on latent variable modeling, factor analysis, structural equation modeling, item response theory, measurement, or multivariate statistics taught in psychology, education, human development, business, economics, and social and health sciences, this book also appeals to researchers in these fields. Prerequisites include familiarity with basic statistical concepts, but knowledge of R is not assumed.

Doing Educational Research in Rural Settings is a much-needed guide for educational researchers whose research interests are located outside metropolitan areas in places that are generically considered to be rural. This book is both timely and important as it takes up the key question of how to conduct educational research within and for rural communities. It explores the impact of educational research in such contexts in terms of the lasting good of research and also those being researched. The authorship is international, which brings together researchers experienced in conducting educational inquiry in rural places from across European, Australian, American, and Canadian contexts, allowing readers insight into national and regional challenges. It also draws on the research experiences and methodological challenges faced by senior figures in the field of rural educational research, as well as those in their early careers. Key topics include: Working with and within the rural; The impact of educational globalisation and the problematisation of cultural difference in social research; Researcher subjectivities; The position of education research in rural contexts; The usefulness of research Reciprocity and converging interest; Ethics and confidentiality. This book is uniquely written with an eye to practicality and applicability, and will be an engaging guide for higher degree and doctoral students seeking to gain a stronger understanding of educational research in rural settings.

Researching for the Media: Television, Radio and Journalism is an essential guide to researching for the media industry. It explains the role of the researcher and journalist within radio, television and journalism exploring key areas of what to expect in the job. Researching for the Media: Television, Radio and Journalism offers advice and instruction on practical, ethical and legal issues which affect anyone working in these industries. Beginning with suggestions on how to think up ideas and how to devise treatments, through to general research methods and techniques and guidance on working on location at home and abroad, it uses real examples of good and bad practice from the industry. Written by an experienced researcher, writer and producer, Researching for the Media includes: Tips on finding contributors from contestants, experts and specialists through to audiences and celebrities How to find photographs, picture and film clips and the ethical and legal issues involved Advice on finding and using music and copyright issues How the media uses the internet and social media such as Twitter, Facebook, Instagram A discussion of risk assessment, codes of conduct, ethical behaviour and legal and safety issues A glossary of media terms, further reading and a list of helpful websites. Discover more at www.adeleemm.com

Sociologists have long noted that dynamism is an essential part of the urban way of life. However, walking as a significant social activity and crucial research method (in spite of its ubiquity as part of urban life) has often been overlooked. This volume considers walking in the city from a variety of perspectives, in a variety of places and with a variety of methods, to engage with the question of how walking can contribute to the sociological imagination and reveal sociological knowledge. Bringing together new research on sites across Europe, Walking in the European City addresses the nature of everyday mobility in contemporary urban settings, shedding light not only on the ways in which walking relates to other social institutions and practices, but also as a method for studying urban life. With attention to intersections of race and ethnicity, gender and class, as well as the manner in which processes of gentrification transform urban space, this book examines questions of access to public places, exploring the ways in which urban dwellers' use of and relation to neighbourhood spaces are shaped by inequalities of status and power. As such, it will appeal to scholars of sociology, geography and anthropology with interests in urban studies, mobility and research methods.

This volume provides an essential roster of primary research methods as they apply to health communication inquiry. Editor Bryan B. Whaley brings together key health communication researchers to write about their primary methodological areas. Their chapters offer guidance and insights for a variety of approaches to answering research questions. The methods included here cover:

• Exploration and Description: interview/focus groups, case study, ethnography, and surveys;
• Examining Messages and Interpersonal Exchanges narrative analysis, conversational analysis, analyzing physician-patient interactions, social network analysis, and content analysis;
• Causal Explication experimental research, meta-analysis, and meta-synthesis; and
• Cultural, Population, and Critical Concerns rhetorical methods and criticism, and methodological issues when investigating stigmatized populations, and groups with health disparities.

Chapters cite or use examples from allied health areas -- nursing, public health, sociology, medicine -- to demonstrate the breadth of health communication studies.

This work highlights the importance of methodology in health communication research in multiple contexts. Developed to provide a fundamental reference for investigating health communication, this volume will serve as an invaluable tool for researchers and students across the social science and health disciplines.

Exploring the value of photography and video as legitimate forms of social enquiry, An Applied Visual Sociology: Picturing Harm Reduction constitutes a guidebook for conducting applied visual sociology within health related or social science research projects, providing a full account of the visual research journey and presenting a tested template for conducting theoretically-driven, sociologically-informed research. Against the background of the growing popularity of visual methods, this book goes beyond using photographs for illustrative and descriptive purposes, to emphasise the importance of sociological, epistemological and analytical theory, together with methods of data collection and the presentation of images for applied purposes. As such, An Applied Visual Sociology: Picturing Harm Reduction offers a template for considering visual data as applied research, providing a full account of the manner in which visual methods can inform research and specific interventions, together with opportunities for students and practitioners to consider applied visual sociology in a series of practical or self-study tasks . It will therefore appeal not only to students and researchers involved in social and health-related qualitative research, or those seeking to conduct innovative visual projects within the social sciences, but also to scholars interested in research methods, visual ethnography and harm reduction approaches to drug use.

Internationalisation of Social Sciences in Central and Eastern Europe explores the way in which social sciences, in comparison with other sciences in Europe, have been divided by the political orders of West and East. As part of the field of science policies in Europe, this book contributes to the creation of a new understanding of the European academic landscape of social sciences with particular focus on CEE countries. In its investigation of the emergence of social sciences in Central and Eastern Europe following the collapse of the totalitarian systems, this book discusses how the internationalisation of the social sciences and the convergence between Western and Eastern social scientific life is hindered by factors including funding, academic contacts, and curriculum development. The issues addressed within the text serve to prompt the realisation that coherence in European social sciences can be reached only if new academic traditions and cultures are developed, and science policies harmonised. This book is essential reading for undergraduate and graduate students of European Integration, CEE or Transitional Studies, and any courses related to science policies. It is also relevant to science administrators and policy makers at national and European level.

Our students must become skilled at finding answers and using information to succeed in college, careers, and daily life. Using inquiry, writing, and technology to infuse passion into the classroom research paper motivates students and results in deeper learning. In this practical, research-based book, authors Werner-Burke, Knaus, and DeCamp encourage you to toss the old index cards and jump-start the classroom research paper so that it is more meaningful, manageable, and effective. Explore innovative ways to help students find engaging topics, collect and evaluate information, and write, rethink, and revise to truly impact their audience. The book is filled with tools and student samples to help you implement the ideas in your own classroom. Special Features: Clear connections to the Common Core State Standards Ready-to-use classroom handouts for different stages of the research process A handy appendix featuring a sample research project timeline and rubric Helpful examples of real student work and assessments Research-based foundations that guide and inform how the process unfolds and why it works

This textbook bypasses the need for advanced mathematics by providing in-text computer code, allowing students to explore Bayesian data analysis without the calculus background normally considered a prerequisite for this material. Now, students can use the best methods without needing advanced mathematical techniques. This approach goes beyond "frequentist" concepts of p-values and null hypothesis testing, using the full power of modern probability theory to solve real-world problems. The book offers a fully self-contained course, which demonstrates analysis techniques throughout with worked examples crafted specifically for students in the behavioral and neural sciences. The book presents two general algorithms that help students solve the measurement and model selection (also called "hypothesis testing") problems most frequently encountered in real-world applications.

With an increasing proportion of migration and mobility field studies being conducted by migrants and members of ethnic minorities in 'home' contexts, the implications of 'insider research' are increasingly subject critical scrutiny. Researchers who may share migration experiences or cultural, ethnic, linguistic or religious identities with their participants are exploring the means, ethics and politics of mobilizing 'insider capital' for the purpose of gaining access to and representing research participants. Bringing together the latest international scholarship in the sociology and anthropology of migration, this volume explores the complexities, joys and frustrations of conducting 'insider' research. The book offers analyses of key methodological, ethical and epistemological challenges faced by migration researchers as they question the ways in which they come to identify with their research topic or their participants. Addressing questions of identity and categorization, ethics and methodology, epistemology and situated knowledge, Insider Research on Migration and Mobility will appeal to scholars across the social sciences with interests in migration, mobilities, diaspora studies and ethnic and racial identities, as well as those interested in qualitative research design and analysis.

In spite of the existence of statistics and numerical data on various aspects of African American life, including housing, earnings, assets, unemployment, household violence, teen pregnancy and encounters with the criminal justice system, social science literature on how racism affects the everyday interactions of African American families is limited. How does racism come home to and affect African American families? If a father in an African American family is denied employment on the basis of his race or a wife is demeaned at work by racist slurs, how is their family life affected? Given the lack of social science literature responding to these questions, this volume turns to an alternative source in order to address them: literature. Engaging with novels written by African American authors, it explores their rich depictions of African American family life, showing how these can contribute to our sociological knowledge and making the case for the novel as an object and source of social research. As such, it will appeal to scholars and students of the sociology of the family, race and ethnicity, cultural studies and literature.

The principal goal of this textbook is to provide clear and elementary descriptions of the major statistical techniques used in political and social science research. The book is built on two basic assumptions. First, that it is possible to explain social science statistics in a simple and straightforward manner so that students with a minimal background in math can understand even fairly advanced techniques, such as multiple and logistic regression. Second, that undergraduate and even graduate students have less trouble in understanding specific techniques than in interpreting what statistical results mean substantively. Consequently, the book stresses the interpretation of research findings.In essence, the book argues that political science research is like piecing a jigsaw puzzle together. Pieces of information - statistical and non-statistical - must be assembled and interpreted both logically and creatively.The text is organized in a unique manner, using the various techniques being discussed to analyze the current state of the United States as it seemingly stands at a crossroads in both its political orientations and socioeconomic nature. To make the statistical interpretation more meaningful and easier to understand, the results throughout the book are integrated by their focus upon two central questions related to the theme of America at a Crossroads: Are Americans conservative or liberal in their political beliefs? How do economic and social outcomes in America compare to those in other developed democracies?

This book examines how individuals behave across time and to what degree that behavior changes, fluctuates, or remains stable. It features the most current methods on modeling repeated measures data as reported by a distinguished group of experts in the field. The goal is to make the latest techniques used to assess intraindividual variability accessible to a wide range of researchers. Each chapter is written in a "user-friendly" style such that even the "novice" data analyst can easily apply the techniques. Each chapter features: a minimum discussion of mathematical detail; an empirical example applying the technique; and a discussion of the software related to that technique. Content highlights include analysis of mixed, multi-level, structural equation, and categorical data models. It is ideal for researchers, professionals, and students working with repeated measures data from the social and behavioral sciences, business, or biological sciences.