Visualization Of Categorical Longitudinal And Times Series Data
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Visualization Of Categorical Longitudinal And Times Series Data
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Author : Stephen J. Tueller
language : en
Publisher: RTI Press
Release Date : 2016-02-10
Visualization Of Categorical Longitudinal And Times Series Data written by Stephen J. Tueller and has been published by RTI Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-10 with Computers categories.
Plotting growth curves is a powerful graphical approach used in exploratory data analysis for continuous longitudinal data. However, plotting growth curves for multiple participants rapidly becomes uninterpretable with categorical data. Categorical data defines specific states (e.g. being single, married, divorced). And these states do not necessarily need to represent any hierarchical order. Thus a trajectory becomes a sequence of states rather than a continuum. We introduce a horizontal line plot that uses shade or color to differentiate between states on a categorical longitudinal variable for multiple participants. With appropriate sorting, stacking the horizontal lines representing each participant can reveal important patterns such as the shape of, or heterogeneity in, the trajectories. We illustrate the plotting techniques for large sample sizes, observed groups, the exploration of unobserved latent classes, large numbers of time points such as are found with intensive longitudinal designs or multivariate time series data, individually varying times observation, unique numbers of observations, and missing data. We used the R package longCatEDA to create the illustrations. Illustrative data include both simulated data and alcohol consumption data in adult schizophrenics from the Clinical Antipsychotic Trials of Intervention Effectiveness.
Visualization Of Categorical Longitudinal And Times Series Data
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Author : Stephen Tueller
language : en
Publisher:
Release Date : 2016
Visualization Of Categorical Longitudinal And Times Series Data written by Stephen Tueller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Plotting growth curves is a powerful graphical approach used in exploratory data analysis for continuous longitudinal data. However, plotting growth curves for multiple participants rapidly becomes uninterpretable with categorical data. Categorical data defines specific states (e.g. being single, married, divorced). And these states do not necessarily need to represent any hierarchical order. Thus a trajectory becomes a sequence of states rather than a continuum. We introduce a horizontal line plot that uses shade or color to differentiate between states on a categorical longitudinal variable for multiple participants. With appropriate sorting, stacking the horizontal lines representing each participant can reveal important patterns such as the shape of, or heterogeneity in, the trajectories. We illustrate the plotting techniques for large sample sizes, observed groups, the exploration of unobserved latent classes, large numbers of time points such as are found with intensive longitudinal designs or multivariate time series data, individually varying times observation, unique numbers of observations, and missing data. We used the R package longCatEDA to create the illustrations. Illustrative data include both simulated data and alcohol consumption data in adult schizophrenics from the Clinical Antipsychotic Trials of Intervention Effectiveness.
Analysis Of Longitudinal Data
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Author : Peter Diggle
language : en
Publisher: OUP Oxford
Release Date : 2013-03-14
Analysis Of Longitudinal Data written by Peter Diggle and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Mathematics categories.
The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis of longitudinal data, it covers both the underlying statistical theory of each method, and its application to a range of examples from the agricultural and biomedical sciences. The main topics discussed are design issues, exploratory methods of analysis, linear models for continuous data, general linear models for discrete data, and models and methods for handling data and missing values. Under each heading, worked examples are presented in parallel with the methodological development, and sufficient detail is given to enable the reader to reproduce the author's results using the data-sets as an appendix. This second edition, published for the first time in paperback, provides a thorough and expanded revision of this important text. It includes two new chapters; the first discusses fully parametric models for discrete repeated measures data, and the second explores statistical models for time-dependent predictors.
Statistical Methods In Longitudinal Research
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Author : Alexander von Eye
language : en
Publisher: Elsevier
Release Date : 1990-11-16
Statistical Methods In Longitudinal Research written by Alexander von Eye and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-11-16 with Mathematics categories.
These edited volumes present new statistical methods in a way that bridges the gap between theoretical and applied statistics. The volumes cover general problems and issues and more specific topics concerning the structuring of change, the analysis of time series, and the analysis of categorical longitudinal data. The book targets students of development and change in a variety of fields - psychology, sociology, anthropology, education, medicine, psychiatry, economics, behavioural sciences, developmental psychology, ecology, plant physiology, and biometry - with basic training in statistics and computing.
Statistical Methods In Longitudinal Research Time Series And Categorical Longitudinal Data
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Author : Alexander von Eye
language : en
Publisher:
Release Date : 1990
Statistical Methods In Longitudinal Research Time Series And Categorical Longitudinal Data written by Alexander von Eye and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Mathematics categories.
These edited volumes present new statistical methods in a way that bridges the gap between theoretical and applied statistics. The volumes cover general problems and issues and more specific topics concerning the structuring of change, the analysis of time series, and the analysis of categorical longitudinal data. The book targets students of development and change in a variety of fields - psychology, sociology, anthropology, education, medicine, psychiatry, economics, behavioural sciences, developmental psychology, ecology, plant physiology, and biometry - with basic training in statistics and computing.
Practical Longitudinal Data Analysis
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Author : David J. Hand
language : en
Publisher: Routledge
Release Date : 2017-10-06
Practical Longitudinal Data Analysis written by David J. Hand and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-06 with Mathematics categories.
This text describes regression-based approaches to analyzing longitudinal and repeated measures data. It emphasizes statistical models, discusses the relationships between different approaches, and uses real data to illustrate practical applications. It uses commercially available software when it exists and illustrates the program code and output. The data appendix provides many real data sets-beyond those used for the examples-which can serve as the basis for exercises.
Longitudinal Data Analysis
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Author : Professor Catrien C J H C J H Bijleveld
language : en
Publisher: SAGE
Release Date : 1998-10-26
Longitudinal Data Analysis written by Professor Catrien C J H C J H Bijleveld and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-10-26 with Social Science categories.
By looking at the processes of change over time - by carrying out longitudinal studies - researchers answer questions about learning, development, educational growth, social change and medical outcomes. However, longitudinal research has many faces. This book examines all the main approaches as well as newer developments (such as structural equation modelling, multilevel modelling and optimal scaling) to enable the reader to gain a thorough understanding of the approach and make appropriate decisions about which technique can be applied to the research problem. Conceptual explanations are used to keep technical terms to a minimum; examples are provided for each approach; issues of design, measurement and significance are considered; and a standard notation is used throughout.
Growth Curve Analysis And Visualization Using R
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Author : Daniel Mirman
language : en
Publisher: CRC Press
Release Date : 2017-09-07
Growth Curve Analysis And Visualization Using R written by Daniel Mirman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-07 with Mathematics categories.
Learn How to Use Growth Curve Analysis with Your Time Course Data An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data. It also provides a way to quantify and analyze individual differences, such as developmental and neuropsychological, in the context of a model of the overall group effects. To harness the practical aspects of this useful tool, behavioral science researchers need a concise, accessible resource that explains how to implement these analysis methods. Growth Curve Analysis and Visualization Using R provides a practical, easy-to-understand guide to carrying out multilevel regression/growth curve analysis (GCA) of time course or longitudinal data in the behavioral sciences, particularly cognitive science, cognitive neuroscience, and psychology. With a minimum of statistical theory and technical jargon, the author focuses on the concrete issue of applying GCA to behavioral science data and individual differences. The book begins with discussing problems encountered when analyzing time course data, how to visualize time course data using the ggplot2 package, and how to format data for GCA and plotting. It then presents a conceptual overview of GCA and the core analysis syntax using the lme4 package and demonstrates how to plot model fits. The book describes how to deal with change over time that is not linear, how to structure random effects, how GCA and regression use categorical predictors, and how to conduct multiple simultaneous comparisons among different levels of a factor. It also compares the advantages and disadvantages of approaches to implementing logistic and quasi-logistic GCA and discusses how to use GCA to analyze individual differences as both fixed and random effects. The final chapter presents the code for all of the key examples along with samples demonstrating how to report GCA results. Throughout the book, R code illustrates how to implement the analyses and generate the graphs. Each chapter ends with exercises to test your understanding. The example datasets, code for solutions to the exercises, and supplemental code and examples are available on the author’s website.
Visualization Of Categorical Data
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Author : Jr̲g Blasius
language : en
Publisher:
Release Date : 1998-01
Visualization Of Categorical Data written by Jr̲g Blasius and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-01 with Mathematics categories.
This monograph aims to balance theoretical and practical material on visualization of categorical data. It covers four main topics: visualization; correspondence analysis; biplots and multidimensional scaling; and contingency table models. The book discusses how surveys which are employed in many different research areas, generate categorical data.
Categorical Longitudinal Data
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Author : Jacques A. Hagenaars
language : en
Publisher: SAGE Publications, Incorporated
Release Date : 1990-05
Categorical Longitudinal Data written by Jacques A. Hagenaars and has been published by SAGE Publications, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-05 with Mathematics categories.
With the increasingly extensive use of social survey data it has become necessary to focus on the analysis of categorical data. The log-linear model occupies a central position because of its effectiveness in dealing with substantive problems involving categorical data.Categorical Longitudinal Data.