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.
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