2024

Chow, S., Lee, J., Park, J., Chow, S., Kuruppumullage Don, P., Kuruppumallage Don, P., Hammel, T., Hallquist, M., Nord, E., Oravecz, Z., Perry, H., Lesser, L., Ram, N., Pearl, D., Lesser, L., others, , & Pearl, D. (). Personalized Education through Individualized Pathways and Resources to Adaptive Control Theory-Inspired Scientific Education (iPRACTISE): Proof-of-Concept Studies for Designing and Evaluating Personalized Education. Journal of Statistics and Data Science Education, 32(2), 174-187. https://doi.org/10.1080/26939169.2024.2302181
Park, J., Fisher, Z., Hunter, M., Shenk, C., Russell, M., Molenaar, P., & Chow, S. (). Unsupervised Model Construction in Continuous-Time. Structural Equation Modeling, 32(3), 377-399. https://doi.org/10.1080/10705511.2024.2429544
Fisher, Z., & Crawford, C. (). Are General Truths Only Generally True? Accommodating Qualitative Heterogeneity in Individual-Level Dynamics using Multi-VAR. Association for Psychological Science Annual Meeting 2024.
Losardo, D., Chow, S., Panter, A., Burkley, M., & Burkley, E. (). Ecological Momentary Assessment (EMA) Designs with Planned Missingness. , 657-698. https://doi.org/10.1007/978-3-031-56318-8_26
Boker, S., Brick, T., Fisher, Z., Hunter, M., Rosseel, Y., & Neale, M. (). Paths to the future: A panel discussion of the future of SEM. International Meeting of the Psychometric Society.

2023

Heshmati, S., Kibrislioglu Uysal, N., Kim, S., Oravecz, Z., & Donaldson, S. (). Momentary PERMA: An Adapted Measurement Tool for Studying Well-Being in Daily Life. Journal of Happiness Studies, 24(8), 2441-2472. https://doi.org/10.1007/s10902-023-00684-w
Lipton, R., de la Garza, A., Wang, C., Derby, C., Katz, M., Oravecz, Z., Hakun, J., Sliwinski, M., & Ezzati, A. (). The Association of Blood-based biomarkers and Cognitive Change as Measured by Ecologically Sensitive Digital Biomarkers. Alzheimer's & Dementia, 19(0). https://doi.org/10.1002/alz.077999
Ou, L., Hunter, M., Lu, Z., Stifter, C., & Chow, S. (). Estimation of nonlinear mixed-effects continuous-time models using the continuous-discrete extended Kalman filter. British Journal of Statistical Psychology, 76(3), 462-490. https://doi.org/10.1111/bmsp.12318
Long, J., Pritschet, S., Keller, K., Cheah, C., Boot, L., Klippel, A., Brick, T., Edwards, C., Rolls, B., & Masterson, T. (). Portion size affects food selection in an immersive virtual reality buffet and is related to measured intake in laboratory meals varying in portion size. Appetite, 191(107052). https://doi.org/10.1016/j.appet.2023.107052
Ahn, Y., Önal Ertuğrul, I., Chow, S., Cohn, J., & Messinger, D. (). Automated measurement of infant and mother Duchenne facial expressions in the Face-to-Face/Still-Face. Infancy, 28(5), 910-929. https://doi.org/10.1111/infa.12556
Fisher, Z., Parsons, J., Gates, K., & Hopfinger, J. (). Blind Subgrouping of Task-based fMRI. Psychometrika, 88(2), 434-455. https://doi.org/10.1007/s11336-023-09907-8
Luong, G., Miller, J., Kirkland, D., Morse, J., Wrzus, C., Diehl, M., Chow, S., & Riediger, M. (). Valuing negative affect weakens affect-health linkages: similarities and differences across affect valuation measures. Motivation and Emotion, 47(3), 347-363. https://doi.org/10.1007/s11031-023-10012-7
Luo, L., Fisher, Z., Molenaar, P., Beltz, A., & Kathleen, G. (). Estimating Both Directed and Bidirectional Contemporaneous Relations in Time Series Data Using Hybrid-GIMME.. Psychological Methods.
Park, J., Park, J., Fisher, Z., Chow, S., Molenaar PCM, , & Molenaar, P. (). On Subgrouping Continuous Processes in Discrete Time. Multivariate Behavioral Research, 58(1), 154-155. https://doi.org/10.1080/00273171.2022.2160957
Park, J., Chow, S., Epskamp, S., & Molenaar, P. (). Subgrouping with Chain Graphical VAR Models. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2023.2289058
Gunther, K., Anaya, B., Fisher, Z., Jones, M., Petrie, D., Hlutkowsky, C., & Perez-Edgar, K. (). A Person-Centered, Network-Based Approach to Mother-Infant Neural Synchrony with Functional Near Infrared Spectroscopy: Society for Research on Child Development Biennial Meeting. .
Ji, L., Li, Y., Potter, L., Lam, C., Nahum-Shani, I., Wetter, D., & Chow, S. (). Multiple imputation of missing data in multilevel ecological momentary assessments: an example using smoking cessation study data. Frontiers in Digital Health, 5. https://doi.org/10.3389/fdgth.2023.1099517
Fisher, Z. (). Machine Learning for Multiple-Subject Time Series Analysis. Annual Meeting of the Society for Multivariate Experimental Psychology.