Multivariate Applications in Substance Use Research
Regular price
€107.99
14 days return policy
Shipping & Delivery
Adolescent Alcohol
adolescent substance use trajectories
Alcohol Expectancies
Cam Pbell
Category=JBFN2
Category=JHBC
Category=PBW
Developm Ent
Dichotom Ous
easurem
Easurem Ent
Ediated Effect
ent
Epidem Ic
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
estim
Estim Ate
eter
exam
Fam Ilies
Family
growth curve modeling
idual
ind
Istribu Tion
Ix Tu
Latent Curve
Latent Curve Analysis
latent variable modeling
longitudinal data analysis
LTA
mediation analysis
Missing Data Patterns
missing data techniques
Multivariate Behavioral Research
oking
param
Param Eters
Peer Alcohol
ple
Pow Er
Pretest Sensitization
Rog Ram
Sim Ilarity
structural equation modeling
Successful Cessation
Product details
- ISBN 9780805829426
- Weight: 725g
- Dimensions: 152 x 229mm
- Publication Date: 01 Jan 2000
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
Secure
checkout
Fast Shipping
Easy returns
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.
Jennifer S. Rose, Laurie Chassin, Clark C. Presson, Steven J. Sherman
