Publications

2015

Oravecz, Z., Faust, K., Batchelder, W., & Levitis, D. (2015). 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

Conroy, D., Ram, N., Pincus, A., Coffman, D., Lorek, A., Rebar, A., & Roche, M. (2015). Daily physical activity and alcohol use across the adult lifespan. Health Psychology, 34(6), 653-660. http://doi.org/10.1037/hea0000157

Van Der Ark, L., Bolt, D., Wang, W., Douglas, J., & Chow, S. (2015). Preface. Springer Proceedings in Mathematics and Statistics, 140, V. https://doi.org/10.1007/978-3-319-19977-1

Van der Ark, A., Bolt, D., Wang, W., Douglas, J., & Chow, S. (2015). Quantitative Psychology Research. .

Boker, S., Brick, T., Pritikin, J., Wang, Y., von Oertzen, T., Brown, D., Lach, J., Estabrook, R., Hunter, M., Maes, H., & Neale, M. (2015). Maintained individual data distributed likelihood estimation (MIDDLE). Multivariate Behavioral Research, 50(6), 706-720. https://doi.org/10.1080/00273171.2015.1094387

Fisher, Z., & Tipton, E. (2015). robumeta: An R-package for Robust Variance Estimation in Meta-analysis. arXiv preprint arXiv:1503.02220.

Loken, E., Oravecz, Z., Tucker, C., & Linder, F. (2015). Psychometric analysis of residence and MOOC assessments. ASEE Annual Conference and Exposition, Conference Proceedings, 122(122). https://doi.org/10.18260/p.24621

2014

Kühn, S., Brick, T., Müller, B., & Gallinat, J. (2014). Is this car looking at you? How anthropomorphism predicts fusiform face area activation when seeing cars. PLoS One, 9(12), e113885. https://doi.org/10.1371/journal.pone.0113885

Conroy, D., Ram, N., Pincus, A., & Rebar, A. (2014). 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

Anders, R., Oravecz, Z., & Batchelder, W. (2014). 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

Oravecz, Z., Vandekerckhove, J., & Batchelder, W. (2014). Bayesian Cultural Consensus Theory. Field Methods, 26(3), 207-222. https://doi.org/10.1177/1525822X13520280

Zhang, G., Browne, M., Ong, A., & Chow, S. (2014). Analytic Standard Errors for Exploratory Process Factor Analysis. Psychometrika, 79(3), 444-469. https://doi.org/10.1007/s11336-013-9365-x

Messinger, D., Duvivier, L., Warren, Z., Mahoor, M., Baker, J., Warlaumont, A., & Ruvolo, P. (2014). The Oxford Handbook of Affective Computing: Affective Computing, Emotional Development, and Autism. . http://doi.org/10.1093/oxfordhb/9780199942237.013.012

von Oertzen, T., & Brick, T. (2014). Efficient Hessian computation using sparse matrix derivatives in RAM notation. Behavior Research Methods, 46(2), 385-395. https://doi.org/10.3758/s13428-013-0384-4

Ram, N., Conroy, D., Pincus, A., Lorek, A., Rebar, A., Roche, M., Coccia, M., Morack, J., Feldman, J., & Gerstorf, D. (2014). 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

Hunter, M. (2014). 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. (2014). Early Emotional Communication: Novel Approaches to Interaction. . https://doi.org/10.1093/acprof:oso/9780195387643.003.0011

Sung, K., Bosley, L., Fisher, Z., & Gordon, B. (2014). Abnormal Visual ERPs and alpha Band Power in Low-and High-Functioning Individuals with Autism: Annals of Neurology. , 76, 73--74.

Neale, M., Zahery, M., Brick, T., Kirkpatrick, R., Bates, T., Maes, H., Boker, S., Hunter, M., & Pritikin, J. (2014). OpenMx 2.0: Extended Structural Equation and Statistical Modeling. Psychometrika, 81, 535-549. https://doi.org/10.1007/s11336-014-9435-8

Chow, S., Mattson, W., & Messinger, D. (2014). 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. (2014). Electrophysiological Measurements of Letter-Sound Correspondence in a Low-Functioning Individual with Autism: Annals of Neurology. , 76, 22--23.

Oravecz, Z., Faust, K., & Batchelder, W. (2014). 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

Neale, M., Zahery, M., Brick, T., Kirkpatrick, R., Estabrook, R., Bates, T., Maes, H., Boker, S., Hunter, M., & Pritikin, J. (2014). OpenMx: Extended Structural Equation Modeling Framework (Latest Version 2.0). .

Ledoux, K., Fisher, Z., Kuo, S., & Gordon, B. (2014). 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. (2014). A regime-switihing longitudinal model of alcohol lapse--relapse: Handbook of developmental systems theory and methodology. , 397-422.