Longitudinal Models in the Behavioral and Related Sciences

Herausgeber: Montfort, Kees van; Satorra, Albert; Oud, Johan

• Broschiertes Buch

Produktbeschreibung

Written by distinguished experts in the field, this book presents longitudinal models and analysis procedures for use in the behavioral and social sciences and the technical problems that may be encountered along the way. The book opens with an overview of the latest theoretical developments, situations that arise due to the categorical nature of the data, issues related to state space modeling, and potential problems that may arise from network analysis and/or growth-curve data. The remainder of the book focuses on applications of longitudinal modeling in a variety of disciplines such as heterogeneity on the patterns of a firm's profit, on house prices, and on delinquent behavior; non-linearity in growth in assessing cognitive aging; measurement error issues in longitudinal research; and distance association for the analysis of change. Ideal for advanced students and researchers in psychology, sociology, education, economics, management, medicine, and neuroscience.

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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 464
• Erscheinungstermin: 30. Oktober 2006
• Englisch
• Abmessung: 252mm x 127mm x 25mm
• Gewicht: 630g
• ISBN-13: 9780805861686
• ISBN-10: 0805861688
• Artikelnr.: 21778216

Autorenporträt

Kees van Montfort, PhD, is a Full Professor of Quantitative Research Techniques at the Free University in Amsterdam and at the Nyenrode Business University in the Netherlands. Johan Oud is an Associate Professor in Longitudinal Data Analysis at the Behavioural Science Institute at Radboud University Nijmegen, in the Netherlands. Albert Satorra is a Full Professor of Statistics at the University of Pompeu Fabra in Barcelona, Spain.

Inhaltsangabe

Preface. Part 1. Theoretical Developments. A. Mooijaart
K. van Montfort
Latent Markov Models for Categorical Variables and Time-Dependent Covariates. J. Oud
Comparison of Four Procedures to Estimate the Damped Linear Differential Oscillator for Panel Data. T. Snijders
C. Steglich
M. Schweinberger
Modeling the Coevolution of Networks and Behavior. H. Singer
Stochastic Differential Equation Models With Sampled Data. S-M. Chow
Factor Score and Parameter Estimations in Nonlinear Dynamical Systems Models. J. Vermunt
Growth Models for Categorical Response Variables: Standard
Latent-Class
and Hybrid Approaches. J.J. McArdle
Dynamic Structural Equation Modeling in Longitudinal Experimental Studies. S. Blozis
A Second-Order Structured Latent Curve Model for Longitudinal Data. Part 2. Applications. J-C. Bou
A. Satorra
Patterns of Persistence of Abnormal Returns: A Finite Mixture Distribution Approach. J. Reinecke
The Development of Deviant and Delinquent Behavior of Adolescents: Applications of Latent Class Growth Curves and Growth Mixtures Models. K.J. Grimm
J.J. McArdle
F. Hamagami
Nonlinear Growth Mixture Models in Research on Cognitive Aging. U. Engel
A. Gattig
J. Simonson
Longitudinal Multilevel Modelling: A Comparison of Growth Curve Models and Structural Equation Modelling Using Panel Data From Germany. E. Schlueter
E. Davidov
P. Schmidt
Applying Autoregressive Cross-Lagged and Latent Growth Curve Models to a Three-Wave Panel Study. I. Visser
V. Schmittmann
M.E.J. Raijmakers
Markov Process Models for Discrimination Learning. M. de Rooij
The Use of Covariates in Distance Association Models for the Analysis of Change. A. Scherpenzeel
W. Saris
Multitrait-Multimethod Models for Longitudinal Research. N. Longford
I. McCarthy
G. Dowse
Patterns of House-Price Inflation in New Zealand.