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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