Published in Handbook of structural equation modeling, 2023
Feng, Y., & Hancock, G. R. (2023). SEM as a framework for power analysis. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (2nd ed.). The Guilford Press.
Published in Psychological Methods, 2022
Feng, Y., & Hancock, G. R. (2022). Model-based incremental validity. Psychological Methods, 27(6), 1039–1060. https://doi.org/10.1037/met0000342
Published in Child Development, 2021
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.
Published in Multivariate Behavioral Research, 2020
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.
Published in Psychometrika, 2020
Feng, Y., & Harring, J. R. (2020). Book review for Structural equation modeling: Applications using Mplus. Psychometrika, 85(2), 526-530.
Published in Multivariate Behavioral Research, 2019
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. doi: 10.1080/00273171.2019.1580556.
Published in Journal of Research on Educational Effectiveness, 2019
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.