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Personal profile

Area of Expertise

I am interested in the identification of developmental processes through which one’s risk for alcohol problems is maintained, intensified, or ameliorated throughout the life span using longitudinal, experimental, and intervention data. In recent years, I have focused on utilizing innovative methodological approaches (e.g., item response theory analysis, multivariate meta-analysis) to alcohol intervention trials to preserve and extend their shelf life and help guide health decisions.
My current R01 project involves collaboration with a large team of independent trial developers and evaluators to systematically review and analyze all available data–study-level aggregate data and item-level participant data. This line of investigation is aimed at providing authoritative answers to questions that are best addressed by large-scale data.

Education/Academic qualification

PhD in Developmental Psycholgy, Michigan State University

MA in Developmental Psycholgy, Yonsei University

BA in Psychology, Yonsei University

Fingerprint Dive into the research topics where Eun-Young Mun is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Alcohols Medicine & Life Sciences
Drinking Medicine & Life Sciences
Students Medicine & Life Sciences
alcohol Social Sciences
Young Adult Medicine & Life Sciences
Cues Medicine & Life Sciences
Heart Rate Medicine & Life Sciences
frequency analysis Social Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2018 2022

Research Output 2001 2019

1 Citation (Scopus)

A tutorial on individual participant data meta-analysis using Bayesian multilevel modeling to estimate alcohol intervention effects across heterogeneous studies

Huh, D., Mun, E-Y., Walters, S. T., Zhou, Z. & Atkins, D. C., 1 Jul 2019, In : Addictive Behaviors. 94, p. 162-170 9 p.

Research output: Contribution to journalArticleResearchpeer-review

Random Allocation

Multivariate higher-order IRT model and MCMC algorithm for linking individual participant data from multiple studies

Mun, E-Y., Huo, Y., White, H. R., Suzuki, S. & de la Torre, J., 1 Jan 2019, In : Frontiers in Psychology. 10, JUN, 328.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
Markov Chains
Feasibility Studies
Longitudinal Studies
1 Citation (Scopus)

Integrative data analysis from a unifying research synthesis perspective

Mun, E-Y. & Ray, A. E., 18 Jan 2018, Alcohol Use Disorders: A Developmental Science Approach to Etiology. Oxford University Press, p. 351-354 4 p.

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

22 Citations (Scopus)

Do drinking motives distinguish extreme drinking college students from their peers?

White, H. R., Anderson, K. G., Ray, A. E. & Mun, E-Y., 1 Sep 2016, In : Addictive Behaviors. 60, p. 213-218 6 p.

Research output: Contribution to journalArticleResearchpeer-review

Binge Drinking
Preventive Health Services