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Modeling Intraindividual Variability With Repeated Measures Data
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Book Synopsis Modeling Intraindividual Variability With Repeated Measures Data by : Scott L. Hershberger
Download or read book Modeling Intraindividual Variability With Repeated Measures Data written by Scott L. Hershberger and published by Psychology Press. This book was released on 2013-06-17 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Modeling Intraindividual Variability With Repeated Measures Data by : Scott Hershberger
Download or read book Modeling Intraindividual Variability With Repeated Measures Data written by Scott Hershberger and published by . This book was released on 2013 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Modeling Intraindividual Variability With Repeated Measures Data by : Scott L. Hershberger
Download or read book Modeling Intraindividual Variability With Repeated Measures Data written by Scott L. Hershberger and published by Psychology Press. This book was released on 2013-06-17 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Handbook of Intraindividual Variability Across the Life Span by : Manfred Diehl
Download or read book Handbook of Intraindividual Variability Across the Life Span written by Manfred Diehl and published by Routledge. This book was released on 2014-12-08 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intraindividual variability (IIV) of human development and behavior across the entire life-span is explored in this new book. Leading researchers summarize recent findings on the extent, role, and function of IIV in human development with a focus on how, when, and why individuals change over time. The latest theoretical, methodological, and technological advances are reviewed. The book explores the historical and theoretical background and challenges of IIV research along with its role and function in childhood, adolescence, and adulthood. Edited to maximize consistency and accessibility, each chapter includes an introduction and a review of the research and most explore future directions, new theoretical developments, and conclusions and implications. Readers are shown that by focusing on the individual as a unit of analysis across different time scales, conditions, and situations, researchers can effectively demonstrate behavioral and developmental regularities at different points of the life-span. As such this book is a must have for anybody interested in IIV research. The book explores: -New designs and methods for the analysis of intensive repeated measures data. -The importance of real-time data for more time sensitive and ecologically valid measurements. -The role and function of intraindividual variability in behavior and development across the life-span -- from infancy to later life. -Numerous examples of how intraindividual variability research is conducted. -Topics and findings that are commonly treated in disparate bodies of literature from various disciplines. Part 1 provides a historical, conceptual, and methodological overview of the study of intraindividual variability (IIV). IIV during childhood and adolescence and its application in the investigation of development of language acquisition, infant-parent interactions, development of motor skills, cognitive development, mood regulation, and identity development are examined in Part 2. Part 3 focuses on IIV during adult development, including its use in neuropsychological functioning and attention and in personality development and mood regulation. IIV in the context of adults’ health behavior is also reviewed. Part 4 examines the key issues and challenges of IIV research in human development such as whether IIV in adult development is an indicator of vulnerability or resilience, the association between short-term IIV and long-term developmental change, and multiple time-scale design and analysis. The volume concludes with a look at the future of intraindividual variation analysis. Intended for advanced students and researchers in developmental psychology across the life-span, social, personality, and health psychology, as well as sociology, family studies, gerontology, education, and medicine, interested in intraindividual variability of behavior and its role in human development, this book also serves as a text for graduate courses on longitudinal analysis, multilevel modeling, and/or (advanced) data analysis offered in these departments. Knowledge in human development or life course sociology and graduate-level statistics is recommended.
Book Synopsis Longitudinal Analysis by : Lesa Hoffman
Download or read book Longitudinal Analysis written by Lesa Hoffman and published by Routledge. This book was released on 2015-01-30 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Mplus 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.
Book Synopsis Nonlinear Models for Repeated Measurement Data by : Marie Davidian
Download or read book Nonlinear Models for Repeated Measurement Data written by Marie Davidian and published by Routledge. This book was released on 2017-11-01 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and laboratory data. Nonlinear Models for Repeated Measurement Data provides the first unified development of methods and models for data of this type, with a detailed treatment of inference for the nonlinear mixed effects and its extensions. A particular strength of the book is the inclusion of several detailed case studies from the areas of population pharmacokinetics and pharmacodynamics, immunoassay and bioassay development and the analysis of growth curves.
Book Synopsis Methods and Applications of Longitudinal Data Analysis by : Xian Liu
Download or read book Methods and Applications of Longitudinal Data Analysis written by Xian Liu and published by Elsevier. This book was released on 2015-09-11 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas of research. Statistical procedures featured within the text include: descriptive methods for delineating trends over time linear mixed regression models with both fixed and random effects covariance pattern models on correlated errors generalized estimating equations nonlinear regression models for categorical repeated measurements techniques for analyzing longitudinal data with non-ignorable missing observations Emphasis is given to applications of these methods, using substantial empirical illustrations, designed to help users of statistics better analyze and understand longitudinal data. Methods and Applications of Longitudinal Data Analysis equips both graduate students and professionals to confidently apply longitudinal data analysis to their particular discipline. It also provides a valuable reference source for applied statisticians, demographers and other quantitative methodologists. From novice to professional: this book starts with the introduction of basic models and ends with the description of some of the most advanced models in longitudinal data analysis Enables students to select the correct statistical methods to apply to their longitudinal data and avoid the pitfalls associated with incorrect selection Identifies the limitations of classical repeated measures models and describes newly developed techniques, along with real-world examples.
Book Synopsis Measurement Theory and Practice in Kinesiology by : Terry M. Wood
Download or read book Measurement Theory and Practice in Kinesiology written by Terry M. Wood and published by Human Kinetics. This book was released on 2006 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides readers with an understanding of the basics of measurement techniques in physical activity, by focusing on understanding the concept behind techniques. Looking at measurement issues in the physical domain, this book is useful for post graduate students, researchers and professionals in sport and exercise science.
Book Synopsis Structural Equation Modeling by : Gregory R. Hancock
Download or read book Structural Equation Modeling written by Gregory R. Hancock and published by IAP. This book was released on 2013-03-01 with total page 703 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sponsored by the American Educational Research Association's Special Interest Group for Educational Statisticians This volume is the second edition of Hancock and Mueller’s highly-successful 2006 volume, with all of the original chapters updated as well as four new chapters. The second edition, like the first, is intended to serve as a didactically-oriented resource for graduate students and research professionals, covering a broad range of advanced topics often not discussed in introductory courses on structural equation modeling (SEM). Such topics are important in furthering the understanding of foundations and assumptions underlying SEM as well as in exploring SEM, as a potential tool to address new types of research questions that might not have arisen during a first course. Chapters focus on the clear explanation and application of topics, rather than on analytical derivations, and contain materials from popular SEM software.
Book Synopsis Models for Intensive Longitudinal Data by : Theodore A. Walls
Download or read book Models for Intensive Longitudinal Data written by Theodore A. Walls and published by Oxford University Press. This book was released on 2006-01-19 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rapid technological advances in devices used for data collection have led to the emergence of a new class of longitudinal data: intensive longitudinal data (ILD). Behavioral scientific studies now frequently utilize handheld computers, beepers, web interfaces, and other technological tools for collecting many more data points over time than previously possible. Other protocols, such as those used in fMRI and monitoring of public safety, also produce ILD, hence the statistical models in this volume are applicable to a range of data. The volume features state-of-the-art statistical modeling strategies developed by leading statisticians and methodologists working on ILD in conjunction with behavioral scientists. Chapters present applications from across the behavioral and health sciences, including coverage of substantive topics such as stress, smoking cessation, alcohol use, traffic patterns, educational performance and intimacy. Models for Intensive Longitudinal Data (MILD) is designed for those who want to learn about advanced statistical models for intensive longitudinal data and for those with an interest in selecting and applying a given model. The chapters highlight issues of general concern in modeling these kinds of data, such as a focus on regulatory systems, issues of curve registration, variable frequency and spacing of measurements, complex multivariate patterns of change, and multiple independent series. The extraordinary breadth of coverage makes this an indispensable reference for principal investigators designing new studies that will introduce ILD, applied statisticians working on related models, and methodologists, graduate students, and applied analysts working in a range of fields. A companion Web site at www.oup.com/us/MILD contains program examples and documentation.
Book Synopsis Longitudinal Structural Equation Modeling by : Todd D. Little
Download or read book Longitudinal Structural Equation Modeling written by Todd D. Little and published by Guilford Press. This book was released on 2013-02-26 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has been replaced by Longitudinal Structural Equation Modeling, Second Edition, ISBN 978-1-4625-5314-3.
Book Synopsis The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research by : Andrew F. Hayes
Download or read book The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research written by Andrew F. Hayes and published by SAGE. This book was released on 2008 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: A must-have volume for every communication researcher's library, The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research provides an introductory treatment of various advanced statistical methods applied to research in the field of communication. Written by authors who use these methods in their own research, each chapter gives a non-technical overview of what the method is and how it can be used to answer communication-related questions or aide the researcher dealing with difficult data problems. Students and faculty interested in diving into a new statistical topic—such as latent growth modeling, multilevel modeling, propensity scoring, or time series analysis—will find each chapter an excellent springboard for acquiring the background needed to jump into more advanced, technical readings.
Book Synopsis Modeling Dyadic and Interdependent Data in the Developmental and Behavioral Sciences by : Noel A. Card
Download or read book Modeling Dyadic and Interdependent Data in the Developmental and Behavioral Sciences written by Noel A. Card and published by Routledge. This book was released on 2011-04-12 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews methods of conceptualizing, measuring, and analyzing interdependent data in developmental and behavioral sciences. Quantitative and developmental experts describe best practices for modeling interdependent data that stem from interactions within families, relationships, and peer groups, for example. Complex models for analyzing longitudinal data, such as growth curves and time series, are also presented. Many contributors are innovators of the techniques and all are able to clearly explain the methodologies and their practical problems including issues of measurement, missing data, power and sample size, and the specific limitations of each method. Featuring a balance between analytic strategies and applications, the book addresses: The Actor-Partner Interdependence Model for analyzing influence between two individuals The Intraclass Correlational Approach for analyzing distinguishable roles (parent-child) or exchangeable (same-sex) dyadic data The Social Relations Model for analyzing group interdependency Social Network Analysis approaches for relationships between individuals This book is intended for graduate students and researchers across the developmental, social, behavioral, and educational sciences. It is an excellent research guide and a valuable resource for advanced methods courses.
Book Synopsis The Science of Real-Time Data Capture by : Arthur Stone
Download or read book The Science of Real-Time Data Capture written by Arthur Stone and published by Oxford University Press. This book was released on 2007-04-19 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: The National Cancer Institute (NCI) has designated the topic of real-time data capture as an important and innovative research area. As such, the NCI sponsored a national meeting of distinguished research scientists to discuss the state of the science in this emerging and burgeoning field. This book reflects the findings of the conference and discusses the state of the science of real-time data capture and its application to health and cancer research. It provides a conceptual framework for minute-by-minute data capture- ecological momentary assessments (EMA)- and discusses health-related topics where these assessements have been applied. In addition, future directions in real-time data capture assessment, interventions, methodology, and technology are discussed.Despite the rapidly growing interest in the methodology of real-time data capture (e.g. journal special issues, widely attended conference presentations, etc.), to date no single book has focused solely on this topic. The volume will serve as an important resource for researchers, students, and government scientists interested in pursuing real-time health research, and will nicely complement our lists in epidemiology, public health, and oncology.
Book Synopsis Multilevel Modeling of Educational Data by : Ann A. O'Connell
Download or read book Multilevel Modeling of Educational Data written by Ann A. O'Connell and published by IAP. This book was released on 2008-04-01 with total page 541 pages. Available in PDF, EPUB and Kindle. Book excerpt: (sponsored by the Educational Statisticians, SIG) Multilevel Modeling of Educational Data, co-edited by Ann A. O’Connell, Ed.D., and D. Betsy McCoach, Ph.D., is the next volume in the series: Quantitative Methods in Education and the Behavioral Sciences: Issues, Research and Teaching (Information Age Publishing), sponsored by the Educational Statisticians' Special Interest Group (Ed-Stat SIG) of the American Educational Research Association. The use of multilevel analyses to examine effects of groups or contexts on individual outcomes has burgeoned over the past few decades. Multilevel modeling techniques allow educational researchers to more appropriately model data that occur within multiple hierarchies (i.e.- the classroom, the school, and/or the district). Examples of multilevel research problems involving schools include establishing trajectories of academic achievement for children within diverse classrooms or schools or studying school-level characteristics on the incidence of bullying. Multilevel models provide an improvement over traditional single-level approaches to working with clustered or hierarchical data; however, multilevel data present complex and interesting methodological challenges for the applied education research community. In keeping with the pedagogical focus for this book series, the papers this volume emphasize applications of multilevel models using educational data, with chapter topics ranging from basic to advanced. This book represents a comprehensive and instructional resource text on multilevel modeling for quantitative researchers who plan to use multilevel techniques in their work, as well as for professors and students of quantitative methods courses focusing on multilevel analysis. Through the contributions of experienced researchers and teachers of multilevel modeling, this volume provides an accessible and practical treatment of methods appropriate for use in a first and/or second course in multilevel analysis. A supporting website links chapter examples to actual data, creating an opportunity for readers to reinforce their knowledge through hands-on data analysis. This book serves as a guide for designing multilevel studies and applying multilevel modeling techniques in educational and behavioral research, thus contributing to a better understanding of and solution for the challenges posed by multilevel systems and data.
Book Synopsis Handbook of Developmental Research Methods by : Brett Laursen
Download or read book Handbook of Developmental Research Methods written by Brett Laursen and published by Guilford Press. This book was released on 2012-02-01 with total page 788 pages. Available in PDF, EPUB and Kindle. Book excerpt: Appropriate for use in developmental research methods or analysis of change courses, this is the first methods handbook specifically designed to meet the needs of those studying development. Leading developmental methodologists present cutting-edge analytic tools and describe how and when to use them, in accessible, nontechnical language. They also provide valuable guidance for strengthening developmental research with designs that anticipate potential sources of bias. Throughout the chapters, research examples demonstrate the procedures in action and give readers a better understanding of how to match research questions to developmental methods. The companion website (www.guilford.com/laursen-materials) supplies data and program syntax files for many of the chapter examples.
Book Synopsis Statistical Methods for Modeling Human Dynamics by : Sy-Miin Chow
Download or read book Statistical Methods for Modeling Human Dynamics written by Sy-Miin Chow and published by Routledge. This book was released on 2011-02-25 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: This interdisciplinary volume features contributions from researchers in the fields of psychology, neuroscience, statistics, computer science, and physics. State-of-the-art techniques and applications used to analyze data obtained from studies in cognition, emotion, and electrophysiology are reviewed along with techniques for modeling in real time and for examining lifespan cognitive changes, for conceptualizing change using item response, nonparametric and hierarchical models, and control theory-inspired techniques for deriving diagnoses in medical and psychotherapeutic settings. The syntax for running the analyses presented in the book is provided on the Psychology Press site. Most of the programs are written in R while others are for Matlab, SAS, Win-BUGS, and DyFA. Readers will appreciate a review of the latest methodological techniques developed in the last few years. Highlights include an examination of: Statistical and mathematical modeling techniques for the analysis of brain imaging such as EEGs, fMRIs, and other neuroscience data Dynamic modeling techniques for intensive repeated measurement data Panel modeling techniques for fewer time points data State-space modeling techniques for psychological data Techniques used to analyze reaction time data. Each chapter features an introductory overview of the techniques needed to understand the chapter, a summary, and numerous examples. Each self-contained chapter can be read on its own and in any order. Divided into three major sections, the book examines techniques for examining within-person derivations in change patterns, intra-individual change, and inter-individual differences in change and interpersonal dynamics. Intended for advanced students and researchers, this book will appeal to those interested in applying state-of-the-art dynamic modeling techniques to the the study of neurological, developmental, cognitive, and social/personality psychology, as well as neuroscience, computer science, and engineering.
