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An effective technique for data analysis in the social sciencesThe recent explosion in longitudinal data in the social sciences highlights the need for this timely publication. Latent Curve Models: A Structural Equation Perspective provides an effective technique to analyze latent curve models (LCMs). This type of data features random intercepts and slopes that permit each case in a sample to have a different trajectory over time. Furthermore, researchers can include variables to predict the parameters governing these trajectories. The authors synthesize a vast amount of research and findings a

The structure of adolescents' families, and thus parental forms, in the United States, have become more heterogeneous and fluid over the past several decades. These changes are due to increases in never‐married, single parents, divorce, cohabitation, same‐sex parenting, multipartnered fertility, and co‐residence with grandparents. We document current diversity and complexity in adolescents' families as important context for rethinking future parenting theory and research. We also discuss how understandings of adolescents' families are somewhat limited by current methods used to measure characteristics of families. We recommend social network and profile‐based methods as alternatives to capturing key dimensions of family structure and processes. Understanding the diversity of households and families in which adolescents are raised can improve theory and research on parenting.

Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Preface -- 1 Quantitative Modeling in Adult Development and Aging: Reflections and Projections -- 2 The Theory-Methods Interface -- 3 Longitudinal Tests of Dynamic Hypotheses on Intellectual Abilities Measured Over Sixty Years -- 4 Testing and Probing Interactions in Hierarchical Linear Growth Models -- 5 A Repeated Measures, Multilevel Rasch Model with Application to Self-Reported Criminal Behavior -- 6 Latent-Class Analysis Approaches to Determining the Reliability of Nominal Classifications: A Comparison between the Response-Error and the Target-Type Approach -- 7 Dynamical Systems Modeling in Aging Research -- 8 Applying Proportional Hazards Models to Response Time Data -- 9 The Utility of Genetically Informative Data in the Study of Development.