Modeling Contextual Effects in Longitudinal Studies

Author: Todd D. Little
Publisher: Routledge
ISBN: 113559418X
Format: PDF, Kindle
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This volume reviews the challenges and alternative approaches to modeling how individuals change across time and provides methodologies and data analytic strategies for behavioral and social science researchers. This accessible guide provides concrete, clear examples of how contextual factors can be included in most research studies. Each chapter can be understood independently, allowing readers to first focus on areas most relevant to their work. The opening chapter demonstrates the various ways contextual factors are represented—as covariates, predictors, outcomes, moderators, mediators, or mediated effects. Succeeding chapters review "best practice" techniques for treating missing data, making model comparisons, and scaling across developmental age ranges. Other chapters focus on specific statistical techniques such as multilevel modeling and multiple-group and multilevel SEM, and how to incorporate tests of mediation, moderation, and moderated mediation. Critical measurement and theoretical issues are discussed, particularly how age can be represented and the ways in which context can be conceptualized. The final chapter provides a compelling call to include contextual factors in theorizing and research. This book will appeal to researchers and advanced students conducting developmental, social, clinical, or educational research, as well as those in related areas such as psychology and linguistics.

Longitudinal Structural Equation Modeling

Author: Todd D. Little
Publisher: Guilford Press
ISBN: 1462510272
Format: PDF
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Featuring actual datasets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study. Initial chapters lay the groundwork for modeling a longitudinal change process, from measurement, design, and specification issues to model evaluation and interpretation. Covering both big-picture ideas and technical "how-to-do-it" details, the author deftly walks through when and how to use longitudinal confirmatory factor analysis, longitudinal panel models (including the multiple-group case), multilevel models, growth curve models, and complex factor models, as well as models for mediation and moderation. User-friendly features include equation boxes that clearly explain the elements in every equation, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website (www.guilford.com/little-materials) provides datasets for all of the examples--which include studies of bullying, adolescent students' emotions, and healthy aging--with syntax and output from LISREL, Mplus, and R (lavaan).

Sociocultural Research on Mathematics Education

Author: Bill Atweh
Publisher: Routledge
ISBN: 1135653119
Format: PDF, Kindle
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This volume--the first to bring together research on sociocultural aspects of mathematics education--presents contemporary and international perspectives on social justice and equity issues that impact mathematics education. In particular, it highlights the importance of three interacting and powerful factors--gender, social, and cultural dimensions. Sociocultural Research on Mathematics Education: An International Perspective is distinguished in several ways: * It is research based. Chapters report on significant research projects; present a comprehensive and critical summary of the research findings; and offer a critical discussion of research methods and theoretical perspectives undertaken in the area. * It is future oriented, presenting recommendations for practice and policy and identifying areas for further research. * It deals with all aspects of formal and informal mathematics education and applications and all levels of formal schooling. As the context of mathematics education rapidly changes-- with an increased demand for mathematically literate citizenship; an increased awareness of issues of equity, inclusivity, and accountability; and increased efforts for globalization of curriculum development and research-- questions are being raised more than ever before about the problems of teaching and learning mathematics from a non-cognitive science perspective. This book contributes significantly to addressing such issues and answering such questions. It is especially relevant for researchers, graduate students, and policymakers in the field of mathematics education.

The SAGE Handbook of Multilevel Modeling

Author: Marc A. Scott
Publisher: SAGE
ISBN: 1473971314
Format: PDF, ePub
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In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilevel modeling. The Handbook establishes the connections in multilevel modeling, bringing together leading experts from around the world to provide a roadmap for applied researchers linking theory and practice, as well as a unique arsenal of state-of-the-art tools. It forges vital connections that cross traditional disciplinary divides and introduces best practice in the field. Part I establishes the framework for estimation and inference, including chapters dedicated to notation, model selection, fixed and random effects, and causal inference. Part II develops variations and extensions, such as nonlinear, semiparametric and latent class models. Part III includes discussion of missing data and robust methods, assessment of fit and software. Part IV consists of exemplary modeling and data analyses written by methodologists working in specific disciplines. Combining practical pieces with overviews of the field, this Handbook is essential reading for any student or researcher looking to apply multilevel techniques in their own research.

A Life Course Perspective on Health Trajectories and Transitions

Author: Claudine Burton-Jeangros
Publisher: Springer
ISBN: 331920484X
Format: PDF
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This open access book examines health trajectories and health transitions at different stages of the life course, including childhood, adulthood and later life. It provides findings that assess the role of biological and social transitions on health status over time. The essays examine a wide range of health issues, including the consequences of military service on body mass index, childhood obesity and cardiovascular health, socio-economic inequalities in preventive health care use, depression and anxiety during the child rearing period, health trajectories and transitions in people with cystic fibrosis and oral health over the life course. The book addresses theoretical, empirical and methodological issues as well as examines different national contexts, which help to identify factors of vulnerability and potential resources that support resilience available for specific groups and/or populations. Health reflects the ability of individuals to adapt to their social environment. This book analyzes health as a dynamic experience. It examines how different aspects of individual health unfold over time as a result of aging but also in relation to changing socioeconomic conditions. It also offers readers potential insights into public policies that affect the health status of a population.

Handbook of Cognitive Aging

Author: Scott M. Hofer
Publisher: SAGE
ISBN: 145227892X
Format: PDF, Kindle
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"Provides a unique perspective. I am particularly impressed with the sections on innovative design and methods to investigate cognitive aging and the integrative perspectives. None of the existing texts covers this material to the same level." —Donna J. La Voie, Saint Louis University "The emphasis on integrating the literature with theoretical and methodological innovations could have a far-reaching impact on the field." —Deb McGinnis, Oakland University The Handbook of Cognitive Aging: Interdisciplinary Perspectives clarifies the differences in patterns and processes of cognitive aging. Along with a comprehensive review of current research, editors Scott M. Hofer and Duane F. Alwin provide a solid foundation for building a multidisciplinary agenda that will stimulate further rigorous research into these complex factors. Key Features Gathers the widest possible range of perspectives by including cognitive aging experts in various disciplines while maintaining a degree of unity across chapters Examines the limitations of the extant literature, particularly in research design and measurement, and offers new suggestions to guide future research Highlights the broad scope of the field with topics ranging from demography to development to neuroscience, offering the most complete coverage available on cognitive aging

Handbook of Life Span Development

Author: Lawerence K.W. Berg, PhD, Esq.
Publisher: Springer Publishing Company
ISBN: 0826110800
Format: PDF, Kindle
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"The handbook is an impressive collection of research studies and theories provided by knowledgeable contributors on life-span development from conception to old age."--Anthropology and Aging Quarterly The doubling of our average life span since the turn of the 20th century is considered by many scholars to be one of the most important changes in human existence. This definitive text is the only volume to fully address, through a multidisciplinary perspective, the biological, cognitive, and psychological development that occurs from infancy through old age, and how the sociocultural and institutional factors interface with these changes. Edited by leading research scholars in the field of life-span development, the volume also includes contributions of specialists in behavioral genetics, socioemotional selectivity theory, neuroscience, ecological models, and more. It examines the dynamics of close relationships and informal ties among the elderly population, child-parent attachment relationships as a life-span phenomenon, developmental tasks across the lifespan, continuity and discontinuity in temperament and personality, the sociocultural context of cognition across the life span, and variability in approaches to social problem solving from early to later life. Given the number of recent demographic shifts, it also explores issues related to fertility, life expectancy, environmental contexts, technology, immigration, and public policy. Key Features: Integrates the full life span from infancy through old age in each chapter Considers multidisciplinary perspectives that address personal relationships, cognitive development, and social, emotional, and physical health across the life span Situates life-span development in ecological contexts (e.g., socioeconomic, neighborhood, and immigration status) Provides a concise but thorough resource for graduate seminars in life-span-related studies Highlights future issues in all areas of life-span study

Longitudinal Data Analysis

Author: Donald Hedeker
Publisher: John Wiley & Sons
ISBN: 0470036478
Format: PDF
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Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data. Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. The material is, therefore, thoroughly classroom tested and includes a number of features designed to help readers better understand and apply the material. Statistical procedures featured within the text include: * Repeated measures analysis of variance * Multivariate analysis of variance for repeated measures * Random-effects regression models (RRM) * Covariance-pattern models * Generalized-estimating equations (GEE) models * Generalizations of RRM and GEE for categorical outcomes Practical in their approach, the authors emphasize the applications of the methods, using real-world examples for illustration. Some syntax examples are provided, although the authors do not generally focus on software in this book. Several datasets and computer syntax examples are posted on this title's companion Web site. The authors intend to keep the syntax examples current as new versions of the software programs emerge. This text is designed for both undergraduate and graduate courses in longitudinal data analysis. Instructors can take advantage of overheads and additional course materials available online for adopters. Applied statisticians in biomedicine and the social sciences can also use the book as a convenient reference.

Voters and Voting in Context

Author: Christof Wolf
Publisher: Oxford University Press
ISBN: 0198792131
Format: PDF, Kindle
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Voters and Voting in Context investigates the role of context in affecting political opinion formation and voting behaviour. Building on a model of contextual effects on individual-level voter behaviour, the chapters of this volume explore contextual effects in Germany in the early twenty-first century. The volume draws upon manifold combinations of individual and contextual information gathered in the German Longitudinal Election Study (GLES) framework and employ advanced methods. In substantive terms, it investigates the impact of campaign communication on political learning, effects of media coverage on the perceived importance of political problems, and the role of electoral competition on candidate strategies and perceptions. It also examines the role of social and economic contexts as well as parties' policy stances in affecting electoral turnout. The volume explores the impact of social cues on candidate voting, effects of electoral arenas on vote functions, the role of media coverage on ideological voting, and effects of campaign communication on the timing of electoral decision-making. Voters and Voting in Context demonstrates the key role of the processes of communication and politicization in bringing about contextual effects. Context thus plays a nuanced role in voting behaviour. The contingency of contextual effects suggests that they will become an important topic in research on political behaviour and democratic politics.