| The promise and limitations of synthetic data as a strategy to expand access to state-level multi-agency longitudinal data D Bonnéry, Y Feng, AK Henneberger, TL Johnson, M Lachowicz, ... Journal of Research on Educational Effectiveness 12 (4), 616-647, 2019 | 33 | 2019 |
| Six-year cognitive trajectory in older adults following major surgery and delirium ZJ Kunicki, LH Ngo, ER Marcantonio, D Tommet, Y Feng, TG Fong, ... JAMA Internal Medicine 183 (5), 442-450, 2023 | 24 | 2023 |
| Book ReviewStructural Equation Modeling: Applications using Mplus (Wang and Wang 2020) Y Feng, JR Harring Psychometrika 85 (2), 526-530, 2020 | 21 | 2020 |
| Cumulative family stress and diurnal cortisol responses in Midwest Latino families Y Kwak, ZE Taylor, LY Anaya, Y Feng, CD Evich, BL Jones Hispanic Journal of Behavioral Sciences 39 (1), 82-97, 2017 | 15 | 2017 |
| A structural equation modeling approach for modeling variability as a latent variable. Y Feng, GR Hancock Psychological methods, 2022 | 14 | 2022 |
| Chinese adolescents’ relationships with mothers, fathers, and siblings: Associations with youth's internalising and externalising problems Y Feng, SD Whiteman, S Xu, L Li, S Jin, DC French Journal of Relationships Research 10, e15, 2019 | 14 | 2019 |
| Model-based incremental validity. Y Feng, GR Hancock Psychological Methods 27 (6), 1039, 2022 | 11 | 2022 |
| Latent growth models with floors, ceilings, and random knots Y Feng, GR Hancock, JR Harring Multivariate Behavioral Research 54 (5), 751-770, 2019 | 11 | 2019 |
| Tobacco use by middle and high school Chinese adolescents and their friends L Li, T Lu, L Niu, Y Feng, S Jin, DC French Journal of Youth and Adolescence 46, 1262-1274, 2017 | 8 | 2017 |
| Power analysis within a structural Equation Modeling Framework Y Feng, GR Hancock Handbook of Structural Equation Modeling, 163-183, 2023 | 5 | 2023 |
| Expanding mlds data access and research capacity with synthetic data sets R Goldstein, ME Woolley, LM Stapleton, D Bonnéry, M Lachowicz, ... Maryland Longitudinal Data System Center, Baltimore, MD, 2020 | 4 | 2020 |
| Oh no! They cut my funding! Using “post hoc” planned missing data designs to salvage longitudinal research Y Feng, GR Hancock Child Development 92 (3), 1199-1216, 2021 | 3 | 2021 |
| Estimating Student attrition in school-based prevention studies: Guidance from state longitudinal data in Maryland AK Henneberger, BA Rose, Y Feng, T Johnson, B Register, LM Stapleton, ... Prevention Science 24 (5), 1035-1045, 2023 | 1 | 2023 |
| Pretraining Skills as Predictors of Competence of Nonspecialists in Delivery of Mental Health Services AL Rose, Y Feng, S Rai, P Shrestha, JF Magidson, BA Kohrt Psychiatric Services 74 (6), 614-621, 2023 | 1 | 2023 |
| Utilizing Propensity Score Methods to Provide Measures of School Quality for the Baltimore City Public Schools System A Jayasekera, Y Feng, C Wohn, L Boberiene, L Stapleton SREE 2021 Conference, 2021 | | 2021 |
| An Analytical Framework for Research Questions With Variability as the Outcome or Predictor Y Feng, GR Hancock Multivariate Behavioral Research 55 (1), 144-145, 2020 | | 2020 |
| The Effect of Correlated Clusters on Parameter Estimates in Multiple Membership Models Y Feng, TL Johnson, LM Stapleton, Y Zheng | | |
| Design and Analytic Implications in Modeling Student Mobility Across Correlated Schools TL Johnson, Y Feng, LM Stapleton | | |
