Multivariate Applications in Substance Use Research

New Methods for New Questions

Multivariate Applications in Substance Use Research: New Methods for New Questions

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About the Book

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:

Table of Contents

Contents: Preface. P.J. Curran, A Latent Curve Framework for the Study of Developmental Trajectories in Adolescent Substance Use. S.T. Khoo, B.O. Muthén, Longitudinal Data on Families: Growth Modeling Alternatives. D. Hedeker, J.S. Rose, The Natural History of Smoking: A Pattern-Mixture Random-Effects Regression Model. B.O. Muthén, Methodological Issues in Random Coefficient Growth Modeling Using a Latent Variable Framework: Applications to the Development of Heavy Drinking Ages 18 Through 37. D.P. MacKinnon, Contrasts in Multiple Mediator Models. P.K. Wood, Estimation and Equivalent Models for Quadratic and Interactive Latent Variable Models. J.B. Ullman, J.A. Stein, R.L. Dukes, Evaluation of D.A.R.E. (Drug Abuse Resistance Education) With Latent Variables in the Context of a Solomon Four Group Design. D.C. Rowe, J.L. Rodgers, M. Gilson, Epidemics of Smoking: Modeling Tobacco Use Among Adolescents. S.L. Hyatt, L.M. Collins, Using Latent Transition Analysis to Examine the Relationship Between Perceived Parental Permissiveness and the Onset of Substance Use. J.S. Rose, L. Chassin, C.C. Presson, S.J. Sherman, Prospective Predictors of Smoking Cessation: A Logistic Regression Application. C.C. Presson, L. Chassin, S.J. Sherman, J.S. Rose, Summary and Future Directions.

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