Yusuke Shono
  • Email
    yusuke.shono2@cgu.edu
  • Phone
    909-607-8235
  • Degrees
    PhD, Claremont Graduate University
    MA, The City University of New York
    Postdoctoral Fellowship, University of Washington
  • Research Interests
    Application of theories and models of cognitive processes;
    Measurement and validation in cognitive, behavioral, and health outcomes assessment;
    Implicit cognition and health behavior;
    Cognitive assessment and screening

Yusuke Shono is an assistant professor in the School of Community and Global Health (SCGH) at Claremont Graduate University. Prior to joining the SCGH faculty, Shono held the following positions: research assistant professor in the Department of Medical Social Sciences at Northwestern University Feinberg School of Medicine, research scientist at Huntsman Cancer Institute at the University of Utah, NIAAA postdoctoral fellowship in alcohol research at the University of Washington School of Medicine in Seattle, and research statistician at the Hawai`i State Department of Health. He received his PhD in Health Promotion Sciences with a concentration in neurocognitive sciences from Claremont Graduate University.

Shono’s broad research interests center around the intersection of neurocognitive science, health behaviors, and cognitive and health outcomes. His primary research seeks to understand different classes of cognitive processes (e.g., implicit cognition, memory, executive functions) and their relations to health behaviors (e.g., substance use, risky sex, physical activity) and health outcomes (e.g., mild cognitive impairment, dementia, physical functioning, depression). Another area of his research focus is applied psychometric investigations using classical and modern test theory to better address and understand measurement and psychometric issues pertaining to measures of cognition and health behaviors and outcomes. As a senior data analyst, consultant statistician, and co-investigator, he has provided analytic, psychometric, and methodological support on numerous NIAAA, NIDA, NIA, and NIMHD and other national and international research projects.

At CGU, Shono teaches applied statistics and research methodology classes, provides statistical and methodological support and consultation to SCGH faculty and students, and serves as co-director of the Master of Science in Applied Biostatistics (MSAB) program.

Shono, Y., Ece, B., Ho, E. H., Kaat, A. J., LaForte, E. M., Ayturk, E., & Gershon, R. (2024). A comparison of scoring algorithms for the NIH Toolbox executive function tasks in a U.S. norming sample. Psychological Assessment, 36(12), 760–771. https://doi.org/10.1037/pas0001350

Yao, L., Shono, Y., Dworak, E. M., Chen, S., Ho, E., Kaat A., Lovett, R., Curtis, L., Benavente, J. Y., Nowinski, C., Wolf, M., & Gershon, R. (2024). Prediction of cognitive impairment using higher order item response theory and machine learning models. Frontiers in Psychiatry, 14, 1297952. http://doi.org/10.3389/fpsyt.2023.1297952

Shono, Y., Baldwin, S. A., Peterson, K. P., Neighbors, C., & Lindgren, K. P. (2023). Disentangling the within- and between-person aspects of implicit alcohol associations on hazardous drinking. Experimental and Clinical Psychopharmacology, 31(1), 116–126. https://doi.org/10.1037/pha0000552

Flaherty, B. P., & Shono, Y. (2021). Many classes, restricted measurement (MACREM) models for improved measurement of activities of daily living. Journal of Survey Statistics and Methodology9(2), 231–256. https://doi.org/10.1093/jssam/smaa047

Stacy, A. W., Nydegger, L. A., & Shono, Y. (2019). Translation of basic research in cognitive science to HIV-risk: a randomized controlled trial. Journal of behavioral medicine42(3), 440–451. https://doi.org/10.1007/s10865-018-9999-3

Shono, Y., Edwards, M. C., Ames, S. L., & Stacy, A. W. (2018). Trajectories of cannabis-related associative memory among vulnerable adolescents: Psychometric and longitudinal evaluations. Developmental psychology54(6), 1148–1158. https://doi.org/10.1037/dev0000510

Shono, Y., Ames, S. L., & Stacy, A. W. (2016). Evaluation of internal validity using modern test theory: Application to word association. Psychological Assessment, 28(2), 194-204. https://doi.org/10.1037/pas0000175

Principles of Biostatistics
Multilevel and Longitudinal Data Analysis
Advanced Statistical Methods
Research Methods
Supervised Field Practical Training and Consultation