TY - JOUR
T1 - Moving targets
T2 - Modeling developmental trajectories of adolescent alcohol misuse, individual and peer risk factors, and intervention effects
AU - Schulenberg, John
AU - Maggs, Jennifer L.
N1 - Funding Information:
This article is based in part on invited presentations given at the Conference of the Society for Prevention Research (Park City, Utah, June 1998) and the meetings of the American Public Health Association (Washington, DC, November 1998). This study was funded in part by Grant AA06324 from the National Institute on Alcohol Abuse and Alcoholism.
Publisher Copyright:
© 2001 by Lawrence Erlbaum Associates, Inc.
PY - 2001/10/1
Y1 - 2001/10/1
N2 - From a developmental perspective, a central goal of prevention is to alter behaviors that are already changing—that is, to redirect potentially risky trajectories. This multiwave panel study examines the longer-term effects of a prevention program on trajectories of alcohol misuse and related risk factors (susceptibility to peer pressure to misbehave and exposure to peer alcohol use). We conceptually and empirically compare Hierarchical Linear Modeling (HLM) and Latent Growth Curve Modeling (LCM), working within the tradition of each technique and noting similarities and differences in approaches, hypothesis operationalizations, and findings. Five waves of data (Grades 6 to 10, n = 675) from the Alcohol Misuse Prevention Study, a randomized treatment-control group study designed to examine the effects of a school-based prevention program that focused on increasing social (especially refusal) skills, were analyzed. HLM and LCM analyses showed susceptibility, exposure, and alcohol misuse increased mostly linearly across adolescence and covaried positively within and across time, arguing that they exist in a mutually reinforcing web of influence. Both techniques revealed small treatment effects, with the prevention reducing the normative increase in alcohol misuse during adolescence. There were some minor, but important, differences between HLM and LCM in conclusions about intervention effects. Substantive and developmental methodological implications are discussed.
AB - From a developmental perspective, a central goal of prevention is to alter behaviors that are already changing—that is, to redirect potentially risky trajectories. This multiwave panel study examines the longer-term effects of a prevention program on trajectories of alcohol misuse and related risk factors (susceptibility to peer pressure to misbehave and exposure to peer alcohol use). We conceptually and empirically compare Hierarchical Linear Modeling (HLM) and Latent Growth Curve Modeling (LCM), working within the tradition of each technique and noting similarities and differences in approaches, hypothesis operationalizations, and findings. Five waves of data (Grades 6 to 10, n = 675) from the Alcohol Misuse Prevention Study, a randomized treatment-control group study designed to examine the effects of a school-based prevention program that focused on increasing social (especially refusal) skills, were analyzed. HLM and LCM analyses showed susceptibility, exposure, and alcohol misuse increased mostly linearly across adolescence and covaried positively within and across time, arguing that they exist in a mutually reinforcing web of influence. Both techniques revealed small treatment effects, with the prevention reducing the normative increase in alcohol misuse during adolescence. There were some minor, but important, differences between HLM and LCM in conclusions about intervention effects. Substantive and developmental methodological implications are discussed.
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U2 - 10.1207/S1532480XADS0504_05
DO - 10.1207/S1532480XADS0504_05
M3 - Article
AN - SCOPUS:0012904596
SN - 1088-8691
VL - 5
SP - 237
EP - 253
JO - Applied Developmental Science
JF - Applied Developmental Science
IS - 4
ER -