2024
Elavsky, S., Burda, M., Cipryan, L., Kutáč, P., Bužga, M., Jandačková, V., Chow, S., & Jandačka, D. (). Physical activity and menopausal symptoms: evaluating the contribution of obesity, fitness, and ambient air pollution status.. Menopause (New York, N.Y.), 31(4), 310-319. https://doi.org/10.1097/GME.0000000000002319
Knapova, L., Cho, Y., Chow, S., Kuhnova, J., & Elavsky, S. (). From intention to behavior: Within- and between-person moderators of the relationship between intention and physical activity. Psychology of Sport and Exercise, 71. https://doi.org/10.1016/j.psychsport.2023.102566
Blahošová, J., Tancoš, M., Cho, Y., Šmahel, D., Elavsky, S., Chow, S., & Lebedíková, M. (). Examining the Reciprocal Relationship Between Social Media Use and Perceived Social Support Among Adolescents: A Smartphone Ecological Momentary Assessment Study. Media Psychology. https://doi.org/10.1080/15213269.2024.2310834
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
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
Ahn, Y., Martin, K., Prince, E., Chow, S., Cohn, J., Wang, J., Simpson, E., & Messinger, D. (). How still? Parent–infant interaction during the still-face and later infant attachment. Infant and Child Development. https://doi.org/10.1002/icd.2492
Heshmati, S., Muth, C., Roeser, R., Smyth, J., Jamalabadi, H., & Oravecz, Z. (). Conceptualizing psychological well-being as a dynamic process: Implications for research on mobile health interventions. Social and Personality Psychology Compass, 18(1). https://doi.org/10.1111/spc3.12933
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
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. 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
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
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
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
Jin, C., Osotsi, A., & Oravecz, Z. (). Predicting Adolescent Female Stress with Wearable Device Data Using Machine and Deep Learning. . https://doi.org/10.1109/BSN58485.2023.10331414
Chen, M., Chen, M., Chow, S., Oravecz, Z., & Ferrer, E. (). Fitting Bayesian Stochastic Differential Equation Models with Mixed Effects through a Filtering Approach. Multivariate Behavioral Research, 58(5), 1014-1038. https://doi.org/10.1080/00273171.2023.2171354
Chow, S., Nahum-Shani, I., Baker, J., Spruijt-Metz, D., Allen, N., Auerbach, R., Dunton, G., Friedman, N., Intille, S., Klasnja, P., Marlin, B., Nock, M., Rauch, S., Pavel, M., Vrieze, S., Wetter, D., Kleiman, E., Brick, T., Perry, H., Wolff-Hughes, D., et al (). The ILHBN: challenges, opportunities, and solutions from harmonizing data under heterogeneous study designs, target populations, and measurement protocols. Translational Behavioral Medicine, 13(1), 7-16. https://doi.org/10.1093/tbm/ibac069
Merritt, S., Heshmati, S., Oravecz, Z., & Donaldson, S. (). Web of well-being: re-examining PERMA and subjective well-being through networks. Journal of Positive Psychology. https://doi.org/10.1080/17439760.2023.2209538
Fisher, Z., Kim, Y., Pipiras, V., Crawford, C., Petrie, D., Hunter, M., & Geier, C. (). Structured Estimation of Heterogeneous Time Series. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2023.2283837
Oravecz, Z., & Vandekerckhove, J. (). Quantifying Evidence for—and against—Granger Causality with Bayes Factors. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2023.2214890
Hunter, M. (). State Space Mixture Modeling: Finding People with Similar Patterns of Change. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2023.2261224
Chow, S., Losardo, D., Park, J., & Molenaar, P. (). Continuous-Time Dynamic Models: Connections to Structural Equation Models and Other Discrete-Time Models: Structural Equation Modeling: Concepts, Issues, and Applications. , 2.