About Education Publications Presentations Teaching Tutorials
ABOUT ME

I am currently a Ph.D. candidate in Measurement, Statistics and Evaluation (EDMS) at University of Maryland, College Park. My current research interests include Structural Equation Modeling (SEM), Latent Growth Modeling (LGM), variability modeling, power analysis, and planned missing designs. I also have a growing interest in graphical causal models.

EDUCATION

Ph.D., Measurement, Statistics and Evaluation (EDMS)
University of Maryland, College Park
Advisor: Dr. Gregory R. Hancock

IN PROGRESS

M.A., Measurement, Statistics and Evaluation (EDMS)
University of Maryland, College Park
Advisor: Dr. Gregory R. Hancock

2018

M.A., Applied Psychology
New York University
Advisor: Dr. Niobe Way

2014



PUBLICATIONS

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

Feng, Y., & Hancock, G. R. (2022). A structural equation modeling approach for modeling variability as a latent variable. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000477

Feng, Y., & Hancock, G. R. (2021). Model-based incremental validity. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000342

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

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.

Feng, Y., Harring, J. R. (2020). Book review for Structural equation modeling: Applications using Mplus. Psychometrika. 85(2), 526-530.

Feng, Y., Hancock, G. R., & Harring, J. R. (2019). Latent growth models with floors, ceilings, and random knots. Multivariate Behavioral Research, 1-20. doi: 10.1080/00273171.2019.1580556
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Bonnéry, D., Feng, Y., Henneberger, A. K., Johnson, T., Lachowicz, M., Rose, B. A., Shaw, T., Stapleton, L. M., Woolley, M. E., Zheng, Y. (in press). 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. Note: authors listed in alphabetical order

Rose, A. L., Feng, Y., Rai, S., Shrestha, P., Magidson, J. F., & Kohrt B. A. (in press). Can pre-training skills predict competence of non-specialists in delivery of mental health services? Psychiatric Services.

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.

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(6), 1262-1274.

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(1), 82-97.



PRESENTATIONS

Feng, Y., & Steiner, P. M. (2022, September). When can contextual multilevel models be trusted? A discussion from a graphical models perspective. Paper accepted to be presented at the annual meeting of the Society for Research on Educational Effectiveness, Arlington, VA.

Feng, Y., & Steiner, P. M. (2022, April). Contextual effects in multilevel models: A discussion of centering strategies from a graphical models perspective. Paper accepted to be presented at the annual meeting of the American Educational Research Association, SIG: Educational Statisticians, San Diego, CA.

Feng, Y., & Hancock, G. R. (2021, April). A structural equation modeling framework for incremental validity. Paper presented at the annual meeting of the American Educational Research Association, Division D: Measurement & Research Methodology, Virtual Online Conference.

Feng, Y., Hancock, G. R. (2020, April). An analytical framework for research questions with variability as random variable. Paper accepted to be presented at the annual meeting of the American Educational Research Association, Division D: Measurement & Research Methodology, San Francisco, CA.

Feng, Y. (2020, February). Adaptive learning: Optimizing individual learning trajectories with a bifactor DINA model. Paper presented at the PSU-UMD longitudinal data analysis mini conference, College Park, MD.

Feng, Y.& Hancock, G. R. (2019, October). An analytical framework for research questions with variability as the outcome or predictor. Poster presented the annual meeting of Society of Multivariate Experimental Psychology, Baltimore, MD.

Feng, Y.Hancock, G. R., & Harring, J. R. (2019, April). Latent growth models with floors, ceilings, and random knots. Paper presented at the PSU-UMD longitudinal data analysis conference, State College, PA.

Feng, Y., & Hancock, G. R. (2019, April). Oh %&$#!, they cut my funding: Using planned missing data methods to salvage longitudinal research. Paper presented at the annual meeting of the American Educational Research Association (AERA), Division D: Measurement & Research Methodology, Toronto, ON, Canada.

Feng, Y., & Hancock, G. R. (2019, April). Variability as an outcome variable: using multilevel SEM to model heterogeneous variance as higher-level latent variables. Paper presented the 12th International Multilevel Conference, Utrecht, the Netherlands.

Feng, Y. (2019, April). Adaptive learning: Optimizing individual learning trajectories with a bifactor DINA model. Poster presented at the annual meeting of the American Educational Research Association (AERA), Division D Graduate Student in Progress Research Gala, Toronto, ON, Canada.

Feng, Y., Hancock, G. R., Harring, J. R., & Kher, H. (2018, April). Latent Growth Models with Floors, Ceilings, and Random Knots. Paper presented at the annual meeting of the American Educational Research Association (AERA), SIG: Structural Equation Modeling, New York, NY.

Feng, Y., Whiteman, S.D., Xu, S., Jin, S., Li, L., & French, D.C. (2016, April). Chinese Adolescents’ Relationships with Mothers, Fathers, and Siblings: Implications for Youths’ Mental Health. Poster session presented at Society for Research on Adolescence Biennial Meeting (SRA), Baltimore, MD.

Feng, Y., Way, N. Yoshikawa, H., Chen, X. & Okazaki, S. (2016, April). The effects of emotion socialization on adolescents’ social adjustment and mental health. Poster session presented at Society for Research on Adolescence Biennial Meeting (SRA), Baltimore, MD.



TEACHING

EPIB 695-Introduction to R for Health Data Analysis
University of Maryland, College Park
Instructor of Record

2022

EDMS 451-Introduction to Educational Statistics
University of Maryland, College Park
Instructor of Record

2017-2022

Introduction to R
Workshop Instructor

2021

Introduction to Data Management & Statistical Software
Workshop Instructor

2020-2022



TUTORIALS

Feng, Y., & Hancock, G. R. (2019). simPM: SIMulation-based power analysis for Planned Missing designs. R package version 0.0.0.9000. https://yifengedms.github.io/simPM/

Feng, Y., & Hancock, G. R. (2019-2022). R tutorials: Exploratory latent and composite variable methods. https://yifengedms.github.io/EDMS657-R-Tutorials/

Feng, Y., & Hancock, G. R. (2019-2022). R tutorials for SEM.https://yifengedms.github.io/SEM/

Feng, Y., & Hancock, G. R. (2022). Tutorials: Longitudinal SEM and LGM using R.https://yifengedms.github.io/LSEM/

Feng, Y.. EDMS451 R tutorials.https://yifengedms.github.io/EDMS451/