Depaoli, S., Heo, I.*, Jauregui, M.*, Liu, H., & Jia, F. (in press). A comprehensive evaluation of model selection indices for class enumeration in Bayesian latent growth mixture models. Structural Equation Modeling: A Multidisciplinary Journal.
Heo, I.*, Jia, F., Depaoli, S. (2025). Recovering knot placements in Bayesian piecewise growth models with missing data. Behavior Research Methods, 57(7), 1-27.
Heo, I.*, Jia, F., & Depaoli, S. (2024). Review of Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective. Psychometrika, 88(2), 733-737.
Heo, I.*, Depaoli, S., Jia, F., Liu, H. (2024). Bayesian approach to piecewise growth mixture modeling: Issues and applications in school psychology. Journal of School Psychology, 107.
Chen, P. Y., Jia, F., Wang, M. H., Wu, W., & Chao, T. Y. (2024). Dealing with missing data in multi-informant studies: A comparison of approaches. Behavior Research Methods, 1-22.
Heo, I.*, Jia, F., & Depaoli, S. (2023). Performance of model fit and selection indices for Bayesian piecewise growth modeling with missing data. Structural Equation Modeling: A Multidisciplinary Journal, 31(3), 455-476.
Jia, F., Wu, W., & Chen, P. Y. (2023). Testing mediated effect with an incomplete dichotomous mediator. British Journal of Mathematical and Statistical Psychology, 76(3), 539-558.
Jia, F. (2023). Pooling test statistics across multiply imputed datasets for nonnormal items. Behavior Research Methods, 56(3), 1229-1243.
Yan, Y., Yoshihama, M., Hong, J. S., & Jia, F. (2023). Substance use among Asian American adults in 2016–2020: a difference-in-difference analysis of a national survey on drug use and health data. American journal of public health, 113(6), 671-679.
Depaoli, S., Jia, F., & Heo, I.* (2023). Detecting model misspecification in Bayesian piecewise growth models. Structural Equation Modeling: A Multidisciplinary Journal, 30(4), 574-591.
Walker, D., Buzhardt, J., Jia, F., Schnitz, A., Irvin, D., & Greenwood, C. (2023). Advances in the technical adequacy of the Early Cognitive Problem-Solving Indicator (EPSI) progress monitoring measure for infants and toddlers. Topics in Early Childhood Special Education, 42(4), 289-301.
Jia, F., & Wu, W. (2022). A comparison of multiple imputation strategies to deal with missing nonnormal data in structural equation modeling. Behavior Research Methods, 1-20.
Buzhardt, J., Wallisch, A., Irvin, D. W., Boyd, B. A., Salley, B., & Jia, F. (2021). Exploring Growth in Expressive Communication for Infants and Toddlers with Autism Spectrum Disorder. Journal of Early Intervention. doi:10.1177/1053815121995578
Wu, W., & Jia, F. (2021). Applying Planned missingness designs to longitudinal panel studies in developmental science: An overview. New Directions for Child and Adolescent Development. https://doi.org/10.1002/cad.20391
Greenwood, C.R., Carta, J.J., Schnitz, A.G., Higgins, S., Buzhardt, J., Walker, D., Jia, F. and Irvin, D. (2020). Progress Toward an Early Social Indicator for Infants and Toddlers. Journal of Early Intervention. doi: 10.1177/1053815120945021
Greenwood, C., Irvin, D., Walker, D., Buzhardt, J., & Jia, F. (2020). Criterion validity of the Early Communication Indicator (ECI) for infants and toddlers. Assessment for Effective Intervention. doi:10.1177/1534508418824154
Buzhardt, J., Greenwood, C., Jia, F., Walker, D., Schneider, N., Larson, A., Valdovinos, M., & McConnell, S. (2020). Technology to Guide Data-driven Intervention Decisions: Effects on Young Children at Risk for Language Delay. Exceptional Children. https://doi.org/10.1177/0014402920938003
Chen, P. Y., Wu, W., Brandt, H., & Jia, F. (2020). Addressing missing data in specification search in measurement invariance testing with Likert-type scale variables: A comparison of two approaches. Behavior Research Methods. doi: 10.3758/s13428-020-01415-2
Bigelow, K.M., Walker, D., Jia, F., Irvin, D.W., & Turcotte, A. (2020). Enhancing language intervention delivery with text messaging during home visiting. Early Childhood Research Quarterly, 51(2), 416-429.
Bavin, E. L., Sarant, J., Hackworth, N. J., Bennetts, S. K., Buzhardt, J., Jia, F., Button, E., Busby, P., Leigh, G., & Paterson, C. (2020). Modelling the early expressive communicative trajectories of infants/toddlers with early cochlear implants. Journal of Child Language. doi:10.1017/S0305000919000941
Mason, R., Wills, H., Irvin, D.W., Jia, F., & Kamps, D. (2020). Ecobehavioral Assessment of Paraeducator Behaviors that Support Engagement of Students with Disabilities. Exceptional Children. doi: 10.1177/0014402919893693
Chen, P. Y., Wu, W., Garnier-Villarreal, M., Kite, B. A., & Jia, F. (2020). Testing measurement invariance with ordinal missing data: a comparison of commonly used methods. Multivariate Behavioral Research. doi: 10.1080/00273171.2019.1608799
Jia, F. & Wu, W. (2019). Evaluating methods for handling missing ordinal data in structural equation modeling. Behavior Research Methods. doi: 10.3758/s13428-018-1187-4
Buzhardt, J., Greenwood, C., Hackworth, N. J., Jia, F., Shannon, B. K., Walker, D., & Matthews, J. M. (2019). Cross-cultural exploration of growth in expressive communication of English-speaking infants and toddlers. Early Childhood Research Quarterly. doi: 10.1016/j.ecresq.2019.04.002
Greenwood, C., Carta, J J., Schnitz, A. G., Irvin, D, Jia, F., & Atwater, J. (2019). Filling an information gap in preschool MTSS/RTI decision making. Exceptional Children. doi:10.1177/0014402918812473
Buzhardt, J., Greenwood, C., Walker, D., Jia, F., Higgins S., Montagna, D., & Muehe, C. (2018). Web-based support for data-based decision making: Effect of intervention implementation on children’s communication. Journal of Early Intervention, 40(3), 246-267. doi:10.1177/1053815118788059
Greenwood, C., Walker, D., Buzhardt, J., Irvin, D., & Jia, F. (2018). Update on the Early Movement Indicator (EMI) for infants and toddlers. Topics in Early Childhood Special Education, 38(2), 105-117. doi:10.1177/0271121418777290
Wu, W., Jia, F., Kinai, R., & Little, T. D. (2017). Optimal number and allocation of data collection points for linear spline growth curve modeling: A search for efficient designs. International Journal of Behavioral Development, 41(4), 550-558.
Wu, W., Jia, F., Rhemtulla, M., & Little, T. D. (2016). Search for efficient complete and planned missing data designs for analysis of change. Behavior research methods, 48(3), 1047-1061. doi: 10.3758/s13428-015-0629-5
Wu, W., Jia, F., & Enders, C. (2015). A comparison of imputation strategies for ordinal missing data on Likert scale variables. Multivariate behavioral research, 50(5), 484-503. doi:10.1080/00273171.2015.1022644
Jia, F., Moore, E. W. G., Kinai, R., Crowe, K. S., Schoemann, A. M., & Little, T. D. (2014). Planned missing data design with small sample size: How small is too small? International Journal of Behavioral Development, 38(5), 435-452. doi: 10.1177/0165025414531095
Rhemtulla, M., Jia, F., Wu, W., & Little, T. D. (2014). Planned missing designs to optimize the efficiency of latent growth parameter estimates. International Journal of Behavioral Development, 38(5), 423-434. doi: 10.1177/0165025413514324
Wu, W., & Jia, F. (2013). A new procedure to test mediation with missing data through nonparametric bootstrapping and multiple imputation. Multivariate Behavioral Research, 48(5), 663-691. doi:10.1080/00273171.2013.816235