Limit search to available items
Book Cover
E-book
Author Ferrer, Emilio

Title Longitudinal Multivariate Psychology
Published Milton : Routledge, 2018

Copies

Description 1 online resource (362 pages)
Series Multivariate Applications Ser
Multivariate Applications Ser
Contents Cover; Half Title; Series Information; Title Page; Copyright Page; Table of contents; Foreword; Contributors; Introduction and Section Overview; Section I: Extensions of Latent Change Score Models; Section II: Measurement and Testing Issues in Longitudinal Modeling; Section III: Novel Applications of Multivariate Longitudinal Methodology; Section I Extensions of Latent Change Score Models; 1 Methodological Issues and Extensions to the Latent Difference Score Framework; The Bivariate Dual Change Score (BDCS) Model; IC Specifications in the BDCS; Stochastic BDCS Model; Empirical Illustration
DiscussionLimitations; Closing Remarks; Notes; References; Appendix; Sample dynr Code for Fitting the Stochastic BDCS Models in the Illustrative Example.; 2 Discrete- and Semi-continuous Time Latent Change Score Models of Fluid Reasoning Development from Childhood to Adolescence; Development of Fluid Reasoning; Models to Examine Changes in Fluid Reasoning across Measurement Occasions; Models to Examine Dynamics of Fluid Reasoning and Underlying Developmental Mechanisms; Method; Participants and Measures; Data Description; Results; Change in Fluid Reasoning Across Measurement Occasions
Developmental Changes in Fluid ReasoningDiscussion; Summary of Findings; Methodological and Substantive Implications; Notes; References; Appendix; Sample Code for Analyses; 3 Individually Varying Time Metrics in Latent Change Score Models; Latent Change Score Models; Estimation of Latent Change Score Models; Structural Equation Modeling Framework; Nonlinear Multilevel Modeling Framework; JAGS; Illustrative Example; Data; SAS Programming; NLMIXED Output; JAGS; Structural Equation Modeling Software; Discussion; Note; References; 4 Latent Change Score Models with Curvilinear Constant Bases
IntroductionMethods; Latent Constant Change Score Model; Latent Quadratic Constant Change Score Model; A Latent Change Score Model Representing Latent Basis Curve Model; Bivariate Latent Quadratic Curve Model Based on Latent Change Score Approach; Bivariate Quadratic Constant Latent Change Score Model with Coupling Effect; Bivariate Quadratic Constant Latent Change Score Model with Self-Feedback and Coupling Effect; Discussion; References; 5 Regularized Estimation of Multivariate Latent Change Score Models; Regularized Estimation of Multivariate Latent Change Score Models
Latent Change Score FrameworkExploratory Model Specification and Testing; Rationale; Regularization; Purpose; Univariate LCS Regularization; Time-Varying Effects Regularization; Bivariate LCS Regularization; Discussion; Notes; References; 6 The Reticular Action Model; Setting the Stage; The Breakthrough: RAM Algebra and RAM Path Analysis; Some Personal History; How Our Thinking About Modeling Has Changed; The Future of RAM; Notes; References; Section II Measurement and Testing Issues in Longitudinal Modeling; 7 Small Sample Corrections to Model Fit Criteria for Latent Change Score Models
Summary 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
Notes Small Sample Corrections to Model Fit Criteria for Latent Change Score Models
Bibliography Includes bibliographical references and index
Notes Print version record
Subject Psychology -- Statistical methods
Psychology -- Research -- Longitudinal studies
Multivariate analysis.
Multivariate Analysis
PSYCHOLOGY -- Reference.
PSYCHOLOGY -- Research & Methodology.
PSYCHOLOGY -- Statistics.
PSYCHOLOGY -- Experimental Psychology.
Psychology -- Research
Multivariate analysis
Psychology -- Statistical methods
Genre/Form Electronic books
Longitudinal studies
Form Electronic book
Author Boker, Steven M
Grimm, Kevin J
ISBN 9781351662734
1351662732
9781351662727
1351662724
9781351662710
1351662716
9781315160542
1315160544