The proposed project will fully integrate advanced quantitative methods with substantive theories by investigating how researchers can reliably model dynamic processes of substance use prevention and treatment. A simulation study will determine under which theoretical conditions and data characteristics DSEM and MLM optimally perform. The results of the simulation will inform an investigation of a novel edge-on-edge-
off theory of substance use and will be used to generate guidance for substantive researchers.
Funding:
This research is supported by the National Institute On Drug Abuse of the National Institutes of Health under Award Number F31DA060040. Cosponsors: Patrick Curran and Andrea Hussong
In collaboration with Dr. Andrea Hussong, I am examining methods to improve self-reports of alcohol use. This includes (1) using multiple statistical approaches to account for the accuracy of self-reports and (2) examining potential moderators that may effect the relationship between self-reported alcohol use and alcohol outcomes (e.g., BMI).
Publications
Hussong, A.M., Traver, J.M. (Manuscript in Prep). Optimizing Measures of Drinking to Predict Alcohol-Related Consequences.
Presentations
Hussong, A.M., & Traver, J.M. (June 2024). Correcting for measurement error in analyses of alcohol consumption. [Poster Presentation]. Presented at Research Society on Alcohol Annual Scientific Meeting, Minneapolis, MN.
Traver, J.M., & Hussong, A.M. (April 2024). Pour Measurement: How to improve measurement of alcohol consumption by considering moderators and sources of measurement error [Poster Presentation]. Presented at the Society for Research in Adolescence Annual Meeting, Chicago, IL.