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|a Longitudinal models in the behavioral and related sciences /
|c edited by Kees van Montfort, Johan Oud, Albert Satorra.
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| 264 |
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1 |
|a Abingdon, Oxon :
|b Routledge, Taylor & Francis Group,
|c [2017]
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| 264 |
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4 |
|c ©2007.
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| 300 |
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|a 1 online resource (xvi, 447 pages) :
|b illustrations, map.
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|a text
|b txt
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|a European Association of Methodology series.
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| 504 |
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|a Includes bibliographical references and indexes.
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| 505 |
0 |
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|a Part 1. Theoretical Developments -- 1. Latent Markov Models for Categorical Variables and Time-Dependent Covariates / Ab Mooijaart and Kees van Montfort -- 2. Comparison of Four Procedures to Estimate the Damped Linear Differential Oscillator for Panel Data / Johan Oud -- 3. Modeling the Coevolution of Networks and Behavior / Tom Snijders, Christian Steglich and Michael Schweinberger -- 4. Stochastic Differential Equation Models With Sampled Data / Hermann Singer -- 5. Factor Score and Parameter Estimation in Nonlinear Dynamical Systems Models / Sy-Miin Chow -- 6. Growth Models for Categorical Response Variables: Standard, Latent-Class, and Hybrid Approaches / Jeroen Vermunt -- 7. Dynamic Structural Equation Modeling in Longitudinal Experimental Studies / John J. McArdle -- 8. A Second-Order Structured Latent Curve Model for Longitudinal Data / Shelley Blozis -- Part 2. Applications -- 9. Patterns of Persistence of Abnormal Returns: A Finite Mixture Distribution Approach / Juan-Carlos Bou and Albert Satorra -- 10. The Development of Deviant and Delinquent Behavior of Adolescents: Applications of Latent Class Growth Curves and Growth Mixtures Models / Jost Reinecke -- 11. Nonlinear Growth Mixture Models in Research on Cognitive Aging / Kevin J. Grimm, John J. McArdle and Fumiaki Hamagami -- 12. Longitudinal Multilevel Modelling: A Comparison of Growth Curve Models and Structural Equation Modelling Using Panel Data From Germany / Uwe Engel, Alexander Gattig and Julia Simonson -- 13. Applying Autoregressive Cross-Lagged and Latent Growth Curve Models to a Three-Wave Panel Study / Elmar Schlueter, Eldad Davidov and Peter Schmidt -- 14. Markov Process Models for Discrimination Learning / Ingmar Visser, Verena Schmittmann and Maartje E.J. Raijmakers -- 15. The Use of Covariates in Distance Association Models for the Analysis of Change / Mark de Rooij -- 16. Multitrait-Multimethod Models for Longitudinal Research / Annette Scherpenzeel and Willem Saris.
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| 520 |
1 |
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|a "This new volume reviews longitudinal models and analysis procedures for use in the behavioral and social sciences. Written by distinguished experts in the field, the book presents the most current approaches and theories, and the technical problems that may be encountered along the way. Readers will find new ideas about the use of longitudinal analysis in solving problems that arise due to the specific nature of the research design and the data available." "Longitudinal Models in the Behavioral and Related Sciences is divided into two parts. Part One is concerned with the latest theoretical developments. In particular, the book addresses 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. Part Two focuses on the application of longitudinal modeling in a variety of disciplines. The book features applications 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. Part two clearly demonstrates the caution that should be taken when applying longitudinal modeling as well as in the interpretation of the results. Longitudinal Models in the Behavioral and Related Sciences is ideal for advanced students and researchers in psychology, sociology, education, economics, management, medicine, and neuroscience. Book jacket."--
|c Provided by publisher.
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| 588 |
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|a Online resource; title from PDF title page (EBSCO, viewed October 18, 2017)
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| 650 |
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|a Psychology
|x Mathematical models.
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|a Montfort, Kees van,
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|a Oud, Johan,
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| 700 |
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|a Satorra, A.
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