Yi Feng – UCLA Department of Psychology

November 14, 2023

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

Assistant Professor

Primary Area: Quantitative
Address: 4522 Pritzker Hall
Email: yi.feng@ucla.edu

Biography

Hi there! My name is Yi Feng–but please feel free to just call me Yi! I am currently an Assistant Professor in Quantitative Psychology at University of California, Los Angeles (UCLA). My work primarily focuses on advanced quantitative methods and their application in psychology and education research. I have specific research interests in structural equation modeling (SEM), latent growth models, random variability modeling, power analysis/sample size determination, and causal graphical models. I currently teach a graduate-level course on structural equation modeling (Psych M257) during the winter quarter and an undergraduate introduction to statistics (Psych 100A) in the spring quarter.

Curriculum Vitae

Representative Publications

Methodological Research

Feng, Y. (2024). Introduction to causal graphs for education researchers. Asia Pacific Education Review. https://doi.org/10.1007/s12564-024-09980-3 [Journal Impact Factor: 2.6]

Feng, Y., & Hancock, G. R. (2024). A structural equation modeling approach for modeling variability as a latent variable. Psychological Methods, 29(2), 262–286. https://doi.org/10.1037/met0000477 [Journal Impact Factor: 14.738]

Feng, Y., & Hancock, G. R. (2023). SEM as a framework for power analysis. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (2^nd ed.). The Guilford Press.

Feng, Y., & Hancock, G. R. (2022). Model-based incremental validity. Psychological Methods, 27(6), 1039–1060. https://doi.org/10.1037/met0000342 [Journal Impact Factor: 14.738]

Feng, Y., & Hancock, G. R. (2021). Oh no! They cut my funding! Using “post hoc” planned missing data designs to salvage longitudinal research. Child Development, 92(3), 1199-1216. [Journal Impact Factor: 5.899]

Feng, Y., & Hancock, G. R. (2020). Abstract: An analytical framework for research questions with variability as the outcome or predictor. Multivariate Behavioral Research, 55(1), 144-145. [Journal Impact Factor: 5.439]

Feng, Y., & Harring, J. R. (2020). Book review for Structural equation modeling: Applications using Mplus. Psychometrika, 85(2), 526-530. [Journal Impact Factor: 3.649]

Feng, Y., Hancock, G. R., & Harring, J. R. (2019). Latent growth models with floors, ceilings, and random knots. Multivariate Behavioral Research, 54(5), 751-770. [Journal Impact Factor: 5.439]

Bonnéry, D., Feng, Y., Henneberger, A. K., Johnson, T. L., Lachowicz, M., Rose, B. A., Shaw, T., Stapleton, L. M., Woolley, M. E., & Zheng, Y. (2019). The promise and limitations of synthetic data as a strategy to expand access to state-level multi-agency longitudinal data. Journal of Research on Educational Effectiveness, 12(4), 616-647. [Journal Impact Factor: 2.47]

Applied Research

Feng, Y., Whiteman, S. D., Xu, S., Li, L., Jin, S., & French, D. C. (2019). Chinese adolescents’ relationships with mothers, fathers, and siblings: Associations with youth’s internalising and externalising problems. Journal of Relationships Research, 10, 1-11. [Journal Impact Factor: 0.76]

Henneberger, A. K., Johnson, T., Feng, Y., Rose, B. A., Stapleton, L. M., Sweet, T., & Woolley, M. E. Modeling School Context in the Presence of Student Mobility: An Applied Comparison of Statistical Approaches. Manuscript submitted for publication (under review).

Barnes, Z. T., Edwards, A. A., Strachota, S., Feng, Y., & Logan, J. (2024). Understanding the relation between socioeconomic status and elementary science achievement: A quantile regression approach. In Infant and Child Development. Wiley. https://doi.org/10.1002/icd.2502

Henneberger, A. K., Rose, B. A., Feng, Y., Johnson, T., Register, B., Stapleton, L. M., Sweet, T., & Woolley, M. E. (2023). Estimating Student attrition in school-based prevention studies: Guidance from state longitudinal data in Maryland. Prevention Science, 24(5), 1035-1045. https://doi.org/10.1007/s11121-023-01533-1 [Journal Impact Factor: 3.931]

Kunicki, Z. J., Ngo, L. H., Marcantonio, E. R., Tommet, D., Feng, Y., Fong, T. G., Schmitt, E. M., Travison, T. G., Jones, R. N., & Inouye, S. K. (2023). Six-year cognitive trajectory in older adults following major surgery and delirium. JAMA Internal Medicine. 183(5), 442-450. https://doi.org/10.1001/jamainternmed.2023.0144 [Journal Impact Factor: 44.41]

Rose, A. L., Feng, Y., Rai, S., Shrestha, P., Magidson, J. F., & Kohrt, B. A. (2023). Pre-training skills as predictors of competence of nonspecialists in delivery of mental health services. Psychiatric Services. 74(6), 614-621. https://doi.org/10.1176/appi.ps.202100691 [Journal Impact Factor: 4.157]

Li, L., Lu, T., Niu, L., Feng, Y., Jin, S., & French, D. C. (2017). Tobacco use by middle and high school Chinese adolescents and their friends. Journal of Youth and Adolescence, 46, 1262-1274. [Journal Impact Factor: 5.613]

Kwak, Y., Taylor, Z. E., Anaya, L. Y., Feng, Y., Evich, C. D., & Jones, B. L. (2017). Cumulative family stress and diurnal cortisol responses in Midwest Latino families. Hispanic Journal of Behavioral Sciences, 39, 82-97. [Journal Impact Factor: 1.60]