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This edited volume introduces the latest advances in quantitative methods and illustrates ways to apply these methods to important questions in substance use research. The goal is to provide a forum for dialogue between methodologists developing innovative multivariate statistical methods and ...

This edited volume introduces the latest advances in quantitative methods and illustrates ways to apply these methods to important questions in substance use research. The goal is to provide a forum for dialogue between methodologists developing innovative multivariate statistical methods and substance use researchers who have produced rich data sets. Reflecting current research trends, the book examines the use of longitudinal techniques to measure processes of change over time. Researchers faced with the task of studying the causes, course, treatment, and prevention of substance use and abuse will find this volume helpful for applying these techniques to make optimal use of their data. This innovative volume: *introduces the use of latent curve methods for describing individual trajectories of adolescent substance use over time; *explores methods for analyzing longitudinal data for individuals nested within groups, such as families, classrooms, and treatment groups; *demonstrates how different patterns of missing data influence the interpretation of results; *reports on some recent advances in longitudinal growth modeling; *illustrates methods to assess mediation when there are multiple mediating pathways underlying an intervention effect; *describes methods to identify moderating relations in structural equation models; *demonstrates the use of structural equation models to evaluate a preventive intervention; *applies epidemic modeling techniques to understand the spread of substance use in society; *illustrates the use of latent transition analysis to model substance use as a series of stages; and *applies logistic regression to prospectively predict smoking cessation.

This book illustrates the current work of leading multilevel modeling (MLM) researchers from around the world. The book's goal is to critically examine the real problems that occur when trying to use MLMs in applied research, such as power, experimental design, and model violations. This ...

This book illustrates the current work of leading multilevel modeling (MLM) researchers from around the world. The book's goal is to critically examine the real problems that occur when trying to use MLMs in applied research, such as power, experimental design, and model violations. This presentation of cutting-edge work and statistical innovations in multilevel modeling includes topics such as growth modeling, repeated measures analysis, nonlinear modeling, outlier detection, and meta analysis. This volume will be beneficial for researchers with advanced statistical training and extensive experience in applying multilevel models, especially in the areas of education; clinical intervention; social, developmental and health psychology, and other behavioral sciences; or as a supplement for an introductory graduate-level course.