Longitudinal Multivariate Psychology

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Additive Conjoint Measurement
advanced quantitative methods
Autoregressive Cross-lag Models
behavioral data
behavioral genetics
Bifactor Model
biometric models
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Cart Analysis
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Change Score Model
chronometic models
co-variance structures
data analysis
data mining
Deborah A. Goebert
developmental processes
differential equation models
Dual Change Score Model
Dynamic Parameter Estimates
dynamic systems
Earl S. Hishinuma
early childhood language
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Fumiaki Hamagami
Generalized Variance Tests
growth curve modeling
Haiyan Liu
individual differences
interpersonal coordination
intra-individual variability
Jack McArdle
Jane M. M. Onoye
Jeanelle J. Sugimoto-Matsuda
John J. McArdle
Junji Takeshita
Kevin J. Grimm
latent change models
latent change score
Latent Change Score Models
Latent Curve Model
Latent Difference Score Model
Latent Growth Curve
Latent True Score
LCS
LDS
Lijuan Wang
Linear Growth Curve Modeling
Linying Ji
longitudinal psychological modeling applications
longnitudinal psychology
longnitudinal statistics
measurement invariance
Measurement Occasions
Miao Yang
Michael C. Neale
Missing Data
missing data techniques
MNAR Mechanism
Monte Carlo simulation
multivariate longnitudinal psychology
multivariate methodology
multivariate psychology
multivariate statistics
Naleen N. Andrade
NCAA
neuroimaging
Nilam Ram
postural control
pseudocontinuous testing
psychological methodology
psychology and statistics
psychometrics
Random Forest
research methods in psychology
Ross Jacobucci
Ryan P. Bowles
Ryne Estabrook
Sarfaraz Serang
score models
SEM Framework
Small Variance Priors
statistical modeling
Stephanie T. Nishimura
Steven M. Boker
Sy-Miin Chow
Thomas S. Paskus
Timothy Hayes
Todd A. Petr
Von Bertalanffy Growth Model
Von Bertalanffy Model
Xiao Yang
Zhiyong Zhang

Product details

  • ISBN 9781138064225
  • Weight: 453g
  • Dimensions: 152 x 229mm
  • Publication Date: 04 Sep 2018
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

Emilio Ferrer is Professor in the Department of Psychology at the University of California, Davis, and a member of the Graduate Groups in Biostatistics, Education, and Human Development. His research interests include methods to examine multivariate change and developmental processes.

Steven M. Boker is Professor of Quantitative Psychology at the University of Virginia, Director of the Human Dynamics Lab, Speaker-Director of the LIFE Academy, and Director of the Center for Dynamics of Healthy Development. His research concerns dynamical systems modeling, interpersonal communication, and methods for the study of development over the lifespan.

Kevin J. Grimm is Professor of Psychology at Arizona State University, and head of the Quantitative Research Methods PhD program. His research interests include longitudinal data analysis and data mining.