Intensive Longitudinal Analysis Of Human Processes

Download Intensive Longitudinal Analysis Of Human Processes full books in PDF, epub, and Kindle. Read online Intensive Longitudinal Analysis Of Human Processes ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Intensive Longitudinal Analysis of Human Processes

Author : Kathleen M. Gates
Publisher : CRC Press
ISBN 13 : 0429528922
Total Pages : 263 pages
Book Rating : 4.4/5 (295 download)

DOWNLOAD NOW!

Book Synopsis Intensive Longitudinal Analysis of Human Processes by : Kathleen M. Gates

Download or read book Intensive Longitudinal Analysis of Human Processes written by Kathleen M. Gates and published by CRC Press. This book was released on 2023-01-31 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on a span of statistical topics relevant to researchers who seek to conduct person-specific analysis of human data. Our purpose is to provide one consolidated resource that includes techniques from disciplines such as engineering, physics, statistics, and quantitative psychology and outlines their application to data often seen in human research. The book balances mathematical concepts with information needed for using these statistical approaches in applied settings, such as interpretative caveats and issues to consider when selecting an approach. The statistical topics covered here include foundational material as well as state-of-the-art methods. These analytic approaches can be applied to a range of data types such as psychophysiological, self-report, and passively collected measures such as those obtained from smartphones. We provide examples using varied data sources including functional MRI (fMRI), daily diary, and ecological momentary assessment data. Features: Description of time series, measurement, model building, and network methods for person-specific analysis Discussion of the statistical methods in the context of human research Empirical and simulated data examples used throughout the book R code for analyses and recorded lectures for each chapter available via a link available at www.routledge.com/9781482230598 Across various disciplines of human study, researchers are increasingly seeking to conduct person-specific analysis. This book provides comprehensive information, so no prior knowledge of these methods is required. We aim to reach active researchers who already have some understanding of basic statistical testing. Our book provides a comprehensive resource for those who are just beginning to learn about person-specific analysis as well as those who already conduct such analysis but seek to further deepen their knowledge and learn new tools.

Intensive Longitudinal Methods

Author : Niall Bolger
Publisher : Guilford Press
ISBN 13 : 1462506925
Total Pages : 256 pages
Book Rating : 4.4/5 (625 download)

DOWNLOAD NOW!

Book Synopsis Intensive Longitudinal Methods by : Niall Bolger

Download or read book Intensive Longitudinal Methods written by Niall Bolger and published by Guilford Press. This book was released on 2013-01-22 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a complete, practical guide to doing an intensive longitudinal study with individuals, dyads, or groups. It provides the tools for studying social, psychological, and physiological processes in everyday contexts, using methods such as diary and experience sampling. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, apply multilevel models to within-subject designs, model within-subject change processes for continuous and categorical outcomes, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication. Datasets and output in SPSS, SAS, Mplus, HLM, MLwiN, and R for the examples are available on the companion website (www.intensivelongitudinal.com).

Intensive Longitudinal Analysis of Human Processes

Author : Kathleen M. Gates
Publisher : CRC Press
ISBN 13 : 1482230607
Total Pages : 260 pages
Book Rating : 4.4/5 (822 download)

DOWNLOAD NOW!

Book Synopsis Intensive Longitudinal Analysis of Human Processes by : Kathleen M. Gates

Download or read book Intensive Longitudinal Analysis of Human Processes written by Kathleen M. Gates and published by CRC Press. This book was released on 2023-01-31 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on a span of statistical topics relevant to researchers who seek to conduct person-specific analysis of human data. Our purpose is to provide one consolidated resource that includes techniques from disciplines such as engineering, physics, statistics, and quantitative psychology and outlines their application to data often seen in human research. The book balances mathematical concepts with information needed for using these statistical approaches in applied settings, such as interpretative caveats and issues to consider when selecting an approach. The statistical topics covered here include foundational material as well as state-of-the-art methods. These analytic approaches can be applied to a range of data types such as psychophysiological, self-report, and passively collected measures such as those obtained from smartphones. We provide examples using varied data sources including functional MRI (fMRI), daily diary, and ecological momentary assessment data. Features: Description of time series, measurement, model building, and network methods for person-specific analysis Discussion of the statistical methods in the context of human research Empirical and simulated data examples used throughout the book R code for analyses and recorded lectures for each chapter available via a link available at www.routledge.com/9781482230598 Across various disciplines of human study, researchers are increasingly seeking to conduct person-specific analysis. This book provides comprehensive information, so no prior knowledge of these methods is required. We aim to reach active researchers who already have some understanding of basic statistical testing. Our book provides a comprehensive resource for those who are just beginning to learn about person-specific analysis as well as those who already conduct such analysis but seek to further deepen their knowledge and learn new tools.

Longitudinal Analysis

Author : Lesa Hoffman
Publisher : Routledge
ISBN 13 : 1317591097
Total Pages : 626 pages
Book Rating : 4.3/5 (175 download)

DOWNLOAD NOW!

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.

Models for Intensive Longitudinal Data

Author : Theodore A. Walls
Publisher : Oxford University Press
ISBN 13 : 9780198038665
Total Pages : 320 pages
Book Rating : 4.0/5 (386 download)

DOWNLOAD NOW!

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.

Longitudinal Data Analysis

Author : Jason Newsom
Publisher : Routledge
ISBN 13 : 1136705473
Total Pages : 407 pages
Book Rating : 4.1/5 (367 download)

DOWNLOAD NOW!

Book Synopsis Longitudinal Data Analysis by : Jason Newsom

Download or read book Longitudinal Data Analysis written by Jason Newsom and published by Routledge. This book was released on 2013-06-19 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Research Methods for Studying Daily Life

Author : Matthias R. Mehl
Publisher : Guilford Publications
ISBN 13 : 1462513050
Total Pages : 705 pages
Book Rating : 4.4/5 (625 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research Methods for Studying Daily Life by : Matthias R. Mehl

Download or read book Handbook of Research Methods for Studying Daily Life written by Matthias R. Mehl and published by Guilford Publications. This book was released on 2013-10-01 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bringing together leading authorities, this unique handbook reviews the breadth of current approaches for studying how people think, feel, and behave in everyday environments, rather than in the laboratory. The volume thoroughly describes experience sampling methods, diary methods, physiological measures, and other self-report and non-self-report tools that allow for repeated, real-time measurement in natural settings. Practical guidance is provided to help the reader design a high-quality study, select and implement appropriate methods, and analyze the resulting data using cutting-edge statistical techniques. Applications across a wide range of psychological subfields and research areas are discussed in detail.

Time-Varying Effect Modeling for the Behavioral, Social, and Health Sciences

Author : Stephanie T. Lanza
Publisher : Springer Nature
ISBN 13 : 3030709442
Total Pages : 150 pages
Book Rating : 4.0/5 (37 download)

DOWNLOAD NOW!

Book Synopsis Time-Varying Effect Modeling for the Behavioral, Social, and Health Sciences by : Stephanie T. Lanza

Download or read book Time-Varying Effect Modeling for the Behavioral, Social, and Health Sciences written by Stephanie T. Lanza and published by Springer Nature. This book was released on 2021-05-06 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first to introduce applied behavioral, social, and health sciences researchers to a new analytic method, the time-varying effect model (TVEM). It details how TVEM may be used to advance research on developmental and dynamic processes by examining how associations between variables change across time. The book describes how TVEM is a direct and intuitive extension of standard linear regression; whereas standard linear regression coefficients are static estimates that do not change with time, TVEM coefficients are allowed to change as continuous functions of real time, including developmental age, historical time, time of day, days since an event, and so forth. The book introduces readers to new research questions that can be addressed by applying TVEM in their research. Readers gain the practical skills necessary for specifying a wide variety of time-varying effect models, including those with continuous, binary, and count outcomes. The book presents technical details of TVEM estimation and three novel empirical studies focused on developmental questions using TVEM to estimate age-varying effects, historical shifts in behavior and attitudes, and real-time changes across days relative to an event. The volume provides a walkthrough of the process for conducting each of these studies, presenting decisions that were made, and offering sufficient detail so that readers may embark on similar studies in their own research. The book concludes with comments about additional uses of TVEM in applied research as well as software considerations and future directions. Throughout the book, proper interpretation of the output provided by TVEM is emphasized. Time-Varying Effect Modeling for the Behavioral, Social, and Health Sciences is an essential resource for researchers, clinicians/practitioners as well as graduate students in developmental psychology, public health, statistics and methodology for the social, behavioral, developmental, and public health sciences.

Crime Mapping and Spatial Data Analysis using R

Author : Juan Medina Ariza
Publisher : CRC Press
ISBN 13 : 1000850781
Total Pages : 451 pages
Book Rating : 4.0/5 (8 download)

DOWNLOAD NOW!

Book Synopsis Crime Mapping and Spatial Data Analysis using R by : Juan Medina Ariza

Download or read book Crime Mapping and Spatial Data Analysis using R written by Juan Medina Ariza and published by CRC Press. This book was released on 2023-04-27 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: Crime mapping and analysis sit at the intersection of geocomputation, data visualisation and cartography, spatial statistics, environmental criminology, and crime analysis. This book brings together relevant knowledge from these fields into a practical, hands-on guide, providing a useful introduction and reference material for topics in crime mapping, the geography of crime, environmental criminology, and crime analysis. It can be used by students, practitioners, and academics alike, whether to develop a university course, to support further training and development, or to hone skills in self-teaching R and crime mapping and spatial data analysis. It is not an advanced statistics textbook, but rather an applied guide and later useful reference books, intended to be read and for readers to practice the learnings from each chapter in sequence. In the first part of this volume we introduce key concepts for geographic analysis and representation and provide the reader with the foundations needed to visualise spatial crime data. We then introduce a series of tools to study spatial homogeneity and dependence. A key focus in this section is how to visualise and detect local clusters of crime and repeat victimisation. The final chapters introduce the use of basic spatial models, which account for the distribution of crime across space. In terms of spatial data analysis the focus of the book is on spatial point pattern analysis and lattice or area data analysis.

Principles of Psychological Assessment

Author : Isaac T. Petersen
Publisher : CRC Press
ISBN 13 : 1003861164
Total Pages : 647 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

Book Synopsis Principles of Psychological Assessment by : Isaac T. Petersen

Download or read book Principles of Psychological Assessment written by Isaac T. Petersen and published by CRC Press. This book was released on 2024-05-02 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the principles of psychological assessment to help researchers and clinicians better develop, evaluate, administer, score, integrate, and interpret psychological assessments. It discusses psychometrics (reliability and validity), the assessment of various psychological domains (behavior, personality, intellectual functioning), various measurement methods (e.g., questionnaires, observations, interviews, biopsychological assessments, performance-based assessments), and emerging analytical frameworks to evaluate and improve assessment including: generalizability theory, structural equation modeling, item response theory, and signal detection theory. The text also discusses ethics, test bias, and cultural and individual diversity. Key Features Gives analysis examples using free software Helps readers apply principles to research and practice Provides text, analysis code/syntax, R output, figures, and interpretations integrated to guide readers Uses the freely available petersenlab package for R Principles of Psychological Assessment: With Applied Examples in R is intended for use by graduate students, faculty, researchers, and practicing psychologists.

Computational Aspects of Psychometric Methods

Author : Patricia Martinková
Publisher : CRC Press
ISBN 13 : 1000899179
Total Pages : 348 pages
Book Rating : 4.0/5 (8 download)

DOWNLOAD NOW!

Book Synopsis Computational Aspects of Psychometric Methods by : Patricia Martinková

Download or read book Computational Aspects of Psychometric Methods written by Patricia Martinková and published by CRC Press. This book was released on 2023-07-03 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the computational aspects of psychometric methods involved in developing measurement instruments and analyzing measurement data in social sciences. It covers the main topics of psychometrics such as validity, reliability, item analysis, item response theory models, and computerized adaptive testing. The computational aspects comprise the statistical theory and models, comparison of estimation methods and algorithms, as well as an implementation with practical data examples in R and also in an interactive ShinyItemAnalysis application. Key Features: Statistical models and estimation methods involved in psychometric research Includes reproducible R code and examples with real datasets Interactive implementation in ShinyItemAnalysis application The book is targeted toward a wide range of researchers in the field of educational, psychological, and health-related measurements. It is also intended for those developing measurement instruments and for those collecting and analyzing data from behavioral measurements, who are searching for a deeper understanding of underlying models and further development of their analytical skills.

Multilevel Modeling Using R

Author : W. Holmes Finch
Publisher : CRC Press
ISBN 13 : 1040004539
Total Pages : 279 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Multilevel Modeling Using R by : W. Holmes Finch

Download or read book Multilevel Modeling Using R written by W. Holmes Finch and published by CRC Press. This book was released on 2024-04-05 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Like its bestselling predecessor, Multilevel Modeling Using R, Third Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single-level and multilevel data. The third edition of the book includes several new topics that were not present in the second edition. Specifically, a new chapter has been included, focussing on fitting multilevel latent variable modeling in the R environment. With R, it is possible to fit a variety of latent variable models in the multilevel context, including factor analysis, structural models, item response theory, and latent class models. The third edition also includes new sections in Chapter 11 describing two useful alternatives to standard multilevel models, fixed effects models and generalized estimating equations. These approaches are particularly useful with small samples and when the researcher is interested in modeling the correlation structure within higher-level units (e.g., schools). The third edition also includes a new section on mediation modeling in the multilevel context, in Chapter 11. This thoroughly updated revision gives the reader state-of-the-art tools to launch their own investigations in multilevel modeling and gain insight into their research.

The Psychometrics of Standard Setting

Author : Mark Reckase
Publisher : CRC Press
ISBN 13 : 149872213X
Total Pages : 275 pages
Book Rating : 4.4/5 (987 download)

DOWNLOAD NOW!

Book Synopsis The Psychometrics of Standard Setting by : Mark Reckase

Download or read book The Psychometrics of Standard Setting written by Mark Reckase and published by CRC Press. This book was released on 2023-01-31 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a unifying structure for the activities that fall under the process typically called "standard setting" on tests of proficiency. Standard setting refers to the methodology used to identify performance standards on tests of proficiency. The results from standard setting studies are critical for supporting the use of many types of tests. The process is frequently applied to educational, psychological, licensure/certification, and other types of tests and examination systems. The literature on procedures for standard setting is extensive, but the methodology for standard setting has evolved in a haphazard way over many decades without a unifying theory to support the evaluation of the methods and the validation of inferences made from the standards. This text provides a framework for going beyond specific standard setting methods to gain an understanding of the goals for the methods and how to evaluate whether the goals have been achieved. The unifying structure provided in this text considers policy that calls for the existence of performance standards, the relationship of proficiency test design to the policy, and tasks assigned to subject matter experts to help them convert the policy to estimates of locations on the reporting score scale for the test. Guidance is provided for how to connect the psychometric aspects of the standard setting process to the intentions of policy makers as expressed in policy statements. Further, the structure is used support validity arguments for inferences made when using standards. Examples are provided to show how the unifying structure can be used to evaluate and improve standard setting methodology.

Motivation and Emotion in Learning and Teaching across Educational Contexts

Author : Gerda Hagenauer
Publisher : Taylor & Francis
ISBN 13 : 1000998274
Total Pages : 335 pages
Book Rating : 4.0/5 (9 download)

DOWNLOAD NOW!

Book Synopsis Motivation and Emotion in Learning and Teaching across Educational Contexts by : Gerda Hagenauer

Download or read book Motivation and Emotion in Learning and Teaching across Educational Contexts written by Gerda Hagenauer and published by Taylor & Francis. This book was released on 2023-11-28 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Motivation and Emotion in Learning and Teaching across Educational Contexts brings together current theoretical and methodological perspectives as well as examples of empirical implementations from leading international researchers focusing on the context specificity and situatedness of their core theories in motivation and emotion. The book is compiled of two main sections. Section I covers theoretical reflections and perspectives on the main theories on emotion and motivation in learning and teaching and their transferability across different educational contexts illustrated with empirical examples. Section II addresses the methodological reflections and perspectives on the methodology that is needed to address the complexity and context specificity of motivation and emotion. In addition to general reflections and perspectives regarding methodology, concrete empirical examples are provided. All cutting-edge chapters include current empirical studies on emotions and motivation in learning and teaching across different contexts (age groups, domains, countries, etc.) making them applicable and relevant to a wide range of contexts and settings. This high-quality volume with contributions from leading international experts will be an essential resource for researchers, students and teacher trainers interested in the vital role that motivation and emotions can play in education.

The Oxford Handbook of Quantitative Methods in Psychology: Vol. 2

Author : Todd D. Little
Publisher :
ISBN 13 : 0199934894
Total Pages : 785 pages
Book Rating : 4.1/5 (999 download)

DOWNLOAD NOW!

Book Synopsis The Oxford Handbook of Quantitative Methods in Psychology: Vol. 2 by : Todd D. Little

Download or read book The Oxford Handbook of Quantitative Methods in Psychology: Vol. 2 written by Todd D. Little and published by . This book was released on 2013-03-21 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of Quantitative Methods in Psychology provides an accessible and comprehensive review of the current state-of-the-science and a one-stop source for learning and reviewing current best-practices in a quantitative methods across the social, behavioral, and educational sciences.

Longitudinal Data Analysis

Author : Jason Newsom
Publisher : Routledge
ISBN 13 : 1136705465
Total Pages : 409 pages
Book Rating : 4.1/5 (367 download)

DOWNLOAD NOW!

Book Synopsis Longitudinal Data Analysis by : Jason Newsom

Download or read book Longitudinal Data Analysis written by Jason Newsom and published by Routledge. This book was released on 2013-06-19 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Structural Equation Modeling with Mplus

Author : Christian Geiser
Publisher : Guilford Publications
ISBN 13 : 1462546412
Total Pages : 370 pages
Book Rating : 4.4/5 (625 download)

DOWNLOAD NOW!

Book Synopsis Longitudinal Structural Equation Modeling with Mplus by : Christian Geiser

Download or read book Longitudinal Structural Equation Modeling with Mplus written by Christian Geiser and published by Guilford Publications. This book was released on 2020-10-07 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: An in-depth guide to executing longitudinal confirmatory factor analysis (CFA) and structural equation modeling (SEM) in Mplus, this book uses latent state–trait (LST) theory as a unifying conceptual framework, including the relevant coefficients of consistency, occasion specificity, and reliability. Following a standard format, chapters review the theoretical underpinnings, strengths, and limitations of the various models; present data examples; and demonstrate each model's application and interpretation in Mplus, with numerous screen shots and output excerpts. Coverage encompasses both traditional models (autoregressive, change score, and growth curve models) and LST models for analyzing single- and multiple-indicator data. The book discusses measurement equivalence testing, intensive longitudinal data modeling, and missing data handling, and provides strategies for model selection and reporting of results. User-friendly features include special-topic boxes, chapter summaries, and suggestions for further reading. The companion website features data sets, annotated syntax files, and output for all of the examples.