2015
Fisher, Z., & Tipton, E. (). robumeta: An R-package for Robust Variance Estimation in Meta-analysis. arXiv preprint arXiv:1503.02220.
Loken, E., Oravecz, Z., Tucker, C., & Linder, F. (). Psychometric analysis of residence and MOOC assessments. ASEE Annual Conference and Exposition, Conference Proceedings, 122(122). https://doi.org/10.18260/p.24621
Mårtensson, J., Eriksson, J., Brick, T., Lindgren, M., Johansson, M., Nyberg, L., & Lovdén, M. (). Proficiency and brain structure during intense language learning: Microstructures of Learning Novel methods and approaches for assessing structural and functional changes underlying knowledge acquisition in the brain. .
Oravecz, Z., Faust, K., Batchelder, W., & Levitis, D. (). Studying the existence and attributes of consensus on psychological concepts by a cognitive psychometric model. American Journal of Psychology, 128(1), 61-75. https://doi.org/10.5406/amerjpsyc.128.1.0061
Koffer, R., Koffer, R., Ram, N., Brick, T., Almeida, D., & Tucker, C. (). MACHINE LEARNING AND GERONTOLOGY: BOOSTED REGRESSION TREES PREDICT AGE DIFFERENCES IN STRESSOR EXPERIENCE: GERONTOLOGIST. , 55(0), 461--462. https://doi.org/10.1093/geront/gnv195.10
2014
Conroy, D., Ram, N., Pincus, A., & Rebar, A. (). Bursts of Self-Conscious Emotions in the Daily Lives of Emerging Adults. Self and Identity, 14(3), 290-313. http://doi.org/10.1080/15298868.2014.983963
Oravecz, Z., Vandekerckhove, J., & Batchelder, W. (). Bayesian Cultural Consensus Theory. Field Methods, 26(3), 207-222. https://doi.org/10.1177/1525822X13520280
Anders, R., Oravecz, Z., & Batchelder, W. (). Cultural consensus theory for continuous responses: A latent appraisal model for information pooling. Journal of Mathematical Psychology, 61, 1-13. https://doi.org/10.1016/j.jmp.2014.06.001
Messinger, D., Duvivier, L., Warren, Z., Mahoor, M., Baker, J., Warlaumont, A., & Ruvolo, P. (). The Oxford Handbook of Affective Computing: Affective Computing, Emotional Development, and Autism. . http://doi.org/10.1093/oxfordhb/9780199942237.013.012
Zhang, G., Browne, M., Ong, A., & Chow, S. (). Analytic Standard Errors for Exploratory Process Factor Analysis. Psychometrika, 79(3), 444-469. https://doi.org/10.1007/s11336-013-9365-x
Ram, N., Conroy, D., Pincus, A., Lorek, A., Rebar, A., Roche, M., Coccia, M., Morack, J., Feldman, J., & Gerstorf, D. (). Examining the Interplay of Processes Across Multiple Time-Scales: Illustration With the Intraindividual Study of Affect, Health, and Interpersonal Behavior (iSAHIB). Research in Human Development, 11(2), 142-160. http://doi.org/10.1080/15427609.2014.906739
Hutton, R., & Chow, S. (). Longitudinal Multi-Trait-State-Method Model Using Ordinal Data. Multivariate Behavioral Research, 49(3), 269-282. https://doi.org/10.1080/00273171.2014.903832
Hunter, M. (). Abstract: Dynamic Mixture Modeling of a Single Simulated Case. Multivariate Behavioral Research, 49(3), 286--287. https://doi.org/10.1080/00273171.2014.912890
Messinger, D., Mahoor, M., Chow, S., Haltigan, J., Cadavid, S., & Cohn, J. (). Early Emotional Communication: Novel Approaches to Interaction. . https://doi.org/10.1093/acprof:oso/9780195387643.003.0011
Ledoux, K., Fisher, Z., Kuo, S., & Gordon, B. (). Using Mismatch Negativity to Study Speech Perception in a Low-Functioning Individual with Autism: Annals of Neurology. , 76, S24--S24.
Chow, S., Witkiewitz, K., Grassman, R., Hutton, R., & Maisto, S. (). A regime-switihing longitudinal model of alcohol lapse--relapse: Handbook of developmental systems theory and methodology. , 397-422.
Sung, K., Bosley, L., Fisher, Z., & Gordon, B. (). Abnormal Visual ERPs and alpha Band Power in Low-and High-Functioning Individuals with Autism: Annals of Neurology. , 76, 73--74.
Oravecz, Z., Faust, K., & Batchelder, W. (). An extended cultural consensus theory model to account for cognitive processes in decision making in social surveys. Sociological Methodology, 44(1), 185-228. https://doi.org/10.1177/0081175014529767
Chow, S., Mattson, W., & Messinger, D. (). Representing trends and moment-to-moment variability in dyadic and family processes using state-space modeling techniques: Emerging Methods in Family Research, National Symposium on Family Issues. , 4, 39-54. https://doi.org/10.1007/978-3-319-01562-0_3
Coderre, E., Fisher, Z., Gordon, B., & Ledoux, K. (). Electrophysiological Measurements of Letter-Sound Correspondence in a Low-Functioning Individual with Autism: Annals of Neurology. , 76, 22--23.
Neale, M., Zahery, M., Brick, T., Kirkpatrick, R., Estabrook, R., Bates, T., Maes, H., Boker, S., Hunter, M., & Pritikin, J. (). OpenMx: Extended Structural Equation Modeling Framework (Latest Version 2.0). .
2013
Ram, N., Shiyko, M., Lunkenheimer, E., Doerksen, S., & Conroy, D. (). Families as Coordinated Symbiotic Systems: Making use of Nonlinear Dynamic Models. , 4, 19-37. http://doi.org/10.1007/978-3-319-01562-0_2
Chow, S., & Zhang, G. (). Nonlinear Regime-Switching State-Space (RSSS) Models. Psychometrika, 78(4), 740-768. https://doi.org/10.1007/s11336-013-9330-8
Chow, S., Grimm, K., Filteau, G., Dolan, C., & McArdle, J. (). Regime-Switching Bivariate Dual Change Score Model. Multivariate Behavioral Research, 48(4), 463-502. https://doi.org/10.1080/00273171.2013.787870
Bard, D., Hunter, M., Beasley, W., Rodgers, J., & Meredith, K. (). Biometric nonlinear growth curves for cognitive development among NLSY children and youth [Abstract]. Behavior Genetics, 43, 507. https://doi.org/10.1007/s10519-013-9623-9