2024
Fatimah, H., Hunter, M., & Bornovalova, M. (). Modeling the Dynamics of Addiction Relapse via the Double-Well Potential System. Journal of Psychopathology and Clinical Science. https://doi.org/10.1037/abn0000960
Park, J., Chow, S., & Molenaar, P. (). What the fuzz: Dependent Data in Social Sciences Research. Springer Proceedings in Mathematics & Statistics. , 2, 161-180.
Cho, Y., Chow, S., Marini, C., & Martire, L. (). Multilevel Latent Differential Structural Equation Model with Short Time Series and Time-Varying Covariates: A Comparison of Frequentist and Bayesian Estimators. Multivariate Behavioral Research, 59(5), 934-956. https://doi.org/10.1080/00273171.2024.2347959
Ellis, O., Oravecz, Z., & Heshmati, S. (). What Makes Early Adults Feel Loved? Cultural Consensus of Felt Love Experiences in Early Adulthood. Applied Developmental Science, 28(2), 161–177. https://doi.org/10.1080/10888691.2022.2158086
Fisher, Z., & Crawford, C. (). Heterogeneity in Multiple-Subject Intensive Longitudinal Data: Leveraged Shared Information with Multi-Task Learning. International Meeting of the Psychometric Society.
Garrison, S., Hunter, M., Lyu, X., Trattner, J., & Burt, S. (). BGmisc: An R Package for Extended Behavior Genetics Analysis. Journal of Open Source Software, 9, 1-4. https://doi.org/10.21105/joss.06203
Ellis, O., Heshmati, S., & Oravecz, Z. (). What makes early adults feel loved? Cultural consensus of felt love experiences in early adulthood. Applied Developmental Science, 28(2), 161-177. https://doi.org/10.1080/10888691.2022.2158086
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
Li, Y., Oravecz, Z., Ji, L., & Chow, S. (). Multiple Imputation with Factor Scores: A Practical Approach for Handling Simultaneous Missingness Across Items in Longitudinal Designs. Multivariate Behavioral Research, 60(1), 61-89. https://doi.org/10.1080/00273171.2024.2371816
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
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.
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.
Li, Y., Williams, L., Muth, C., Heshmati, S., Chow, S., & Oravecz, Z. (). A Growth of Hierarchical Autoregression Model for Capturing Individual Differences in Changes of Dynamic Characteristics of Psychological Processes. Structural Equation Modeling. https://doi.org/10.31234/osf.io/vr3ce
2023
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
Rhubart, D., & Santos, A. (). Research Note Showing That the Rural Mortality Penalty Varies by Region, Race, and Ethnicity in the United States, 1999–2016. Demography, 60(6), 1699-1709. https://doi.org/10.1215/00703370-11078239
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
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
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.
Santos-Lozada, A. (). Trends in deaths from falls among adults aged 65 years or older in the US, 1999-2020. JAMA, 329(18), 1605-1607. https://doi.org/10.1001%2Fjama.2023.3054
Hunter, M., Pritikin, J., Kirkpatrick, R., & Neale, M. (). Rethinking Ordinal Variable Identification in Weighted Least Squares Structural Equation Modeling. PsyArXiv, 1-81. https://doi.org/10.31234/osf.io/mnc7q
Van Doren, N., Oravecz, Z., Soto, J., & Roeser, R. (). Correction to: Examining the Cultural Consensus on Beliefs About Mindfulness Among US College-Attending Young Adults (Mindfulness, (2022), 13, 10, (2420-2433), 10.1007/s12671-022-01956-x). Mindfulness, 14(3), 761. https://doi.org/10.1007/s12671-023-02081-z
Olson, A., Chow, S., Jones, D., & Shenk, C. (). Child maltreatment, parent-child relationship quality, and parental monitoring in relation to adolescent behavior problems: Disaggregating between and within person effects. Child Abuse and Neglect, 136, 106003. https://doi.org/10.1016/j.chiabu.2022.106003