Longitudinal Data Analysis

Author: Jason Newsom
Publisher: Routledge
ISBN: 1136705465
Format: PDF, Mobi
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This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis. Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes. The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis. An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.

Longitudinal Multivariate Psychology

Author: Emilio Ferrer
Publisher: Routledge
ISBN: 1351662724
Format: PDF, ePub, Mobi
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This volume presents a collection of chapters focused on the study of multivariate change. As people develop and change, multivariate measurement of that change and analysis of those measures can illuminate the regularities in the trajectories of individual development, as well as time-dependent changes in population averages. As longitudinal data have recently become much more prevalent in psychology and the social sciences, models of change have become increasingly important. This collection focuses on methodological, statistical, and modeling aspects of multivariate change and applications of longitudinal models to the study of psychological processes. The volume is divided into three major sections: Extension of latent change models, Measurement and testing issues in longitudinal modeling, and Novel applications of multivariate longitudinal methodology. It is intended for advanced students and researchers interested in learning about state-of-the-art techniques for longitudinal data analysis, as well as understanding the history and development of such techniques.

Longitudinal Data Analysis for the Behavioral Sciences Using R

Author: Jeffrey D. Long
Publisher: SAGE
ISBN: 1412982685
Format: PDF, Mobi
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This book is unique in its focus on showing students in the behavioral sciences how to analyze longitudinal data using R software. The book focuses on application, making it practical and accessible to students in psychology, education, and related fields, who have a basic foundation in statistics. It provides explicit instructions in R computer programming throughout the book, showing students exactly how a specific analysis is carried out and how output is interpreted.

Longitudinal and Panel Data

Author: Edward W. Frees
Publisher: Cambridge University Press
ISBN: 9780521535380
Format: PDF, Docs
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An introduction to foundations and applications for quantitatively oriented graduate social-science students and individual researchers.

The Wiley Blackwell Handbook of Adulthood and Aging

Author: Martin J, Sliwinski
Publisher: John Wiley & Sons
ISBN: 1119237882
Format: PDF, ePub, Mobi
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This exceptional collection draws on the most recent demographic data and combines classic research with cutting-edge approaches to provide an invaluable overview of the developmental psychology of the adult years. Covers a wide range of topics within adult development and aging, from theoretical perspectives to specific content areas Includes newly commissioned essays from the top researchers in the field Takes a biopsychosocial perspective, covering the biological, psychological and social changes that occur in adulthood

Religion and Mental Health

Author: Harold G. Koenig
Publisher: Academic Press
ISBN: 0128112832
Format: PDF, ePub, Mobi
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Religion and Mental Health: Research and Clinical Applications summarizes research on how religion may help people better cope or exacerbate their stress, covering its relationship to depression, anxiety, suicide, substance abuse, well-being, happiness, life satisfaction, optimism, generosity, gratitude and meaning and purpose in life. The book looks across religions and specific faiths, as well as to spirituality for those who don’t ascribe to a specific religion. It integrates research findings with best practices for treating mental health disorders for religious clients, also covering religious beliefs and practices as part of therapy to treat depression and posttraumatic stress disorder. Summarizes research findings on the relationship of religion to mental health Investigates religion’s positive and negative influence on coping Presents common findings across religions and specific faiths Identifies how these findings inform clinical practice interventions Describes how to use religious practices and beliefs as part of therapy

Modeling Longitudinal Data

Author: Robert E. Weiss
Publisher: Springer Science & Business Media
ISBN: 0387283145
Format: PDF, Mobi
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The book features many figures and tables illustrating longitudinal data and numerous homework problems. The associated web site contains many longitudinal data sets, examples of computer code, and labs to re-enforce the material. Weiss emphasizes continuous data rather than discrete data, graphical and covariance methods, and generalizations of regression rather than generalizations of analysis of variance.

Longitudinal Structural Equation Modeling

Author: Jason T. Newsom
Publisher: Routledge
ISBN: 1317975359
Format: PDF, ePub, Mobi
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This comprehensive resource reviews structural equation modeling (SEM) strategies for longitudinal data to help readers see which modeling options are available for which hypotheses. The author demonstrates how SEM is related to other longitudinal data techniques throughout. By exploring connections between models, readers gain a better understanding of when to choose one analysis over another. The book explores basic models to sophisticated ones including the statistical and conceptual underpinnings that are the building blocks of the analyses. Accessibly written, research examples from the behavioral and social sciences and results interpretations are provided throughout. The emphasis is on concepts and practical guidance for applied research rather than on mathematical proofs. New terms are highlighted and defined in the glossary. Figures are included for every model along with detailed discussions of model specification and implementation issues. Each chapter also includes examples of each model type, comment sections that provide practical guidance, model extensions, and recommended readings. Highlights include: Covers the major SEM approaches to longitudinal analysis in one resource. Explores connections between longitudinal SEM models to enhance integration. Numerous examples that help readers match research questions to appropriate analyses and interpret results. Reviews practical issues related to model specification and estimation to reinforce connections. Analyzes continuous and discrete (binary and ordinal) variables throughout for breadth not found in other sources. Reviews key SEM concepts for those who need a refresher (Ch. 1). Emphasizes how to apply and interpret each model through realistic data examples. Provides the book’s data sets at www.longitudinalsem.com along with the Mplus and R-lavaan syntax used to generate the results. Introduces the LISREL notation system used throughout (Appendix A). The chapters can be read out of order but it is best to read chapters 1 – 4 first because most of the later chapters refer back to them. The book opens with a review of latent variables and analysis of binary and ordinal variables. Chapter 2 applies this information to assessing longitudinal measurement invariance. SEM tests of dependent means and proportions over time points are explored in Chapter 3, and stability and change, difference scores, and lagged regression are covered in Chapter 4. The remaining chapters are each devoted to one major type of longitudinal SEM -- repeated measures analysis models, full cross-lagged panel models and simplex models, modeling stability with state-trait models, linear and nonlinear growth curve models, latent difference score models, latent transition analysis, time series analysis, survival analysis, and attrition. Missing data is discussed in the context of many of the preceding models in Chapter 13. Ideal for graduate courses on longitudinal (data) analysis, advanced SEM, longitudinal SEM, and/or advanced data (quantitative) analysis taught in the behavioral, social, and health sciences, this text also appeals to researchers in these fields. Intended for those without an extensive math background, prerequisites include familiarity with basic SEM. Matrix algebra is avoided in all but a few places.

Handbook of Developmental Psychopathology

Author: Michael Lewis
Publisher: Springer Science & Business Media
ISBN: 146149608X
Format: PDF, ePub, Docs
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When developmental psychologists set forth the theory that the roots of adult psychopathology could be traced to childhood experience and behavior, the idea quickly took hold. Subsequently, as significant research in this area advanced during the past decade, more sophisticated theory, more accurate research methodologies, and improved replication of empirical findings have been the result. The Third Edition of the Handbook of Developmental Psychopathology incorporates these research advances throughout its comprehensive, up-to-date examination of this diverse and maturing field. Integrative state-of-the-art models document the complex interplay of risk and protective factors and other variables contributing to normal and pathological development. New and updated chapters describe current refinements in assessment methods and offer the latest research findings from neuroscience. In addition, the Third Edition provides readers with a detailed review across the spectrum of salient topics, from the effects of early deprivation to the impact of puberty. As the field continues to shift from traditional symptom-based concepts of pathology to a contemporary, dynamic paradigm, the Third Edition addresses such key topics as: Early Childhood disorders, including failure to thrive and attachment disorders. Aggression, ADHD, and other disruptive conditions. Developmental models of depression, anxiety, self-injury/suicide, and OCD. The autism spectrum and other chronic developmental disorders. Child maltreatment and trauma disorders. The Third Edition of the Handbook of Developmental Psychopathology is a discipline-defining, forward-looking resource for researchers, clinicians, scientist-practitioners, and graduate students in such fields as developmental psychology, psychiatry, social work, child and school psychology, educational psychology, and pediatrics.“p>

Longitudinal Structural Equation Modeling

Author: Todd D. Little
Publisher: Guilford Press
ISBN: 1462510272
Format: PDF, ePub
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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).