2024
Henry, T., Fisher, Z., & Bollen, K. (). Optimal Instrument Selection Using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators. Structural Equation Modeling. https://doi.org/10.1080/10705511.2024.2343926
Park, J., Chow, S., & Molenaar, P. (). What the Fuzz!? Leveraging Ambiguity in Dynamic Network Models. , 161-180. https://doi.org/10.1007/978-3-031-56318-8_7
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
Felt, J., Chimed-Ochir, U., Shores, K., Olson, A., Yanling, Y., Li, Y., Fisher, Z., Ram, N., & Shenk, C. (). Contamination bias in the estimation of child maltreatment causal effects on adolescent internalizing and externalizing behavior problems. Journal of Child Psychology and Psychiatry and Allied Disciplines, 10. https://doi.org/10.1111/jcpp.13990
Lombera, M., Lee, A., & Fisher, Z. (). Comparing Measurement Models of Childhood Maltreatment and Associations with Youth Psychological and Academic Functioning. ISPCAN.
Chow, S., Hamaker, E., & Ram, N. (). From Behavioral Genetics to Idiographic Science: Methodological Developments and Applications Inspired by the Work of Peter C. M. Molenaar. Multivariate Behavioral Research, 59(6), 1107-1110. https://doi.org/10.1080/00273171.2024.2394054
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
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
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
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
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
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
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