2018
Wilburne, J., Polly, D., Franz, D., & Wagstaff, D. (). Mathematics teachers' implementation of high-leverage teaching practices: A Q-sort study. School Science and Mathematics, 118(6), 232-243. https://doi.org/10.1111/ssm.12293
Graham-Engeland, J., Song, S., Mathur, A., Wagstaff, D., Klein, L., Whetzel, C., & Ayoub, W. (). Emotional State Can Affect Inflammatory Responses to Pain Among Rheumatoid Arthritis Patients: Preliminary Findings. Psychological Reports, 122(6), 2026-2049. https://doi.org/10.1177/0033294118796655
Ji, L., Chow, S., Schermerhorn, A., Jacobson, N., & Cummings, E. (). Handling Missing Data in the Modeling of Intensive Longitudinal Data. Structural Equation Modeling, 25(5), 715-736. https://doi.org/10.1080/10705511.2017.1417046
Benson, L., Ram, N., & Stifter, C. (). Using Fishery Models to Examine Self- and Co-Regulation Processes Across Multiple Timescales. Structural Equation Modeling: A Multidisciplinary Journal, 25(6), 906-923. http://doi.org/10.1080/10705511.2018.1491313
Anders, R., Oravecz, Z., & Alario, F. (). Improved information pooling for hierarchical cognitive models through multiple and covaried regression. Behavior Research Methods, 50(3), 989-1010. https://doi.org/10.3758/s13428-017-0921-7
Forgeard, M., & Benson, L. (). Extracurricular involvement and psychological adjustment in the transition from adolescence to emerging adulthood: The role of mastery and creative self-efficacy. Applied Developmental Science, 201, 1-18. http://doi.org/10.1080/10888691.2017.1288124
Pritikin, J., Brick, T., & Neale, M. (). Multivariate normal maximum likelihood with both ordinal and continuous variables, and data missing at random. Behavior Research Methods, 50(2), 490-500. https://doi.org/10.3758/s13428-017-1011-6
Baribault, B., Donkin, C., Little, D., Trueblood, J., Oravecz, Z., Van Ravenzwaaij, D., White, C., De Boeck, P., & Vandekerckhove, J. (). Metastudies for robust tests of theory. Proceedings of the National Academy of Sciences of the United States of America, 115(11), 2607-2612. https://doi.org/10.1073/pnas.1708285114
Lieberman, J., De Souza, M., Wagstaff, D., & Williams, N. (). Menstrual Disruption with Exercise Is Not Linked to an Energy Availability Threshold. Medicine & Science in Sports & Exercise, 50(3), 551-561. http://doi.org/10.1249/MSS.0000000000001451
Batchelder, W., Anders, R., & Oravecz, Z. (). Cultural Consensus Theory: The Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Volume V: Methodology. , 221-264. https://doi.org/10.1002/9781119170174.epcn506
Oravecz, Z., & Muth, C. (). Fitting growth curve models in the Bayesian framework. Psychonomic Bulletin and Review, 25(1), 235-255. https://doi.org/10.3758/s13423-017-1281-0
Helm, J., Castro-Schilo, L., Zavala-Rojas, D., DeCastellarnau, A., & Oravecz, Z. (). Bayesian Estimation of the True Score Multitrait–Multimethod Model With a Split-Ballot Design. Structural Equation Modeling, 25(1), 71-85. https://doi.org/10.1080/10705511.2017.1378103
Baribault, B., Donkin, C., Little, D., Trueblood, J., Oravecz, Z., van Ravenzwaaij, D., While, C., de Boeck, P., & Vandekerckhove, J. (). Meta-studies for robust tests of theory: Proceedings of the National Academy of Sciences. Proceedings of the National Academy of Sciences, 115(11), 2607-2612. https://doi.org/10.1073/pnas.1708285114
Brick, T., Gray, A., & Staples, A. (). Recurrence quantification for the analysis of coupled processes in aging. Journals of Gerontology - Series B Psychological Sciences and Social Sciences, 73(1), 134-147. https://doi.org/10.1093/geronb/gbx018
Henry, T., Fisher, Z., & Bollen, K. (). Bayesian model averaging for model implied instrumental variable two stage least squares estimators. arXiv preprint arXiv:1808.10522.
Surachman, A., Wardecker, B., Chow, S., & Almeida, D. (). Life Course Socioeconomic Status, Daily Stressors, and Daily Well-Being: Examining Chain of Risk Models. Journals of Gerontology - Series B Psychological Sciences and Social Sciences, 74, 1(1), 126-135. https://doi.org/10.1093/geronb/gby014
Oravecz, Z., Wood, J., & Ram, N. (). Fitting continuous time stochastic process models in the Bayesian framework.. Continuous Time Modeling in the Behavioral and Related Sciences, 55-78. https://doi.org/10.1007/978-3-319-77219-6_3
Benson, L., Ram, N., Almeida, D., Zautra, A., & Ong, A. (). Fusing Biodiversity Metrics into Investigations of Daily Life: Illustrations and Recommendations With Emodiversity. The Journals of Gerontology: Series B, 73(1), 75–86. http://doi.org/10.1093/geronb/gbx025
Brinberg, M., Ram, N., Hülür, G., Brick, T., & Gerstorf, D. (). Analyzing dyadic data using grid-sequence analysis: Interdyad differences in intradyad dynamics. Journals of Gerontology - Series B Psychological Sciences and Social Sciences, 73(1), 5-18. https://doi.org/10.1093/geronb/gbw160
Koffer, R., Ram, N., & Almeida, D. (). More than Counting: An Intraindividual Variability Approach to Categorical Repeated Measures. The Journals of Gerontology: Series B, 73(1), 87-99. http://doi.org/10.1093/geronb/gbx086
Chang, B., Fisher, Z., Bollen, K., Mintz, A., Flotron, S., Borde, A., Swor, R., Peak, D., Rathlev, N., & McLean, S. (). Contributions of Minor Traumatic Brain Injury to the Development of Posttraumatic Stress Following Motor Vehicle Accident. Biological Psychiatry, 83(9).
Wood, J., Oravecz, Z., Vogel, N., Benson, L., Chow, S., Cole, P., Conroy, D., Pincus, A., & Ram, N. (). Modeling intraindividual dynamics using stochastic differential equations:age differences inaffect regulation. Journals of Gerontology - Series B Psychological Sciences and Social Sciences, 73(1), 171-184. https://doi.org/10.1093/geronb/gbx013
Muth, C., Oravecz, Z., & Gabry, J. (). User-friendly Bayesian regression modeling: A tutorial with rstanarm and shinystan: Quantitative Methods for Psychology. Quantitative Methods for Psychology, 14(2), 99-119. https://doi.org/10.20982/tqmp.14.2.p099
Varangis, E., Razlighi, Q., Habeck, C., Fisher, Z., & Stern, Y. (). Between-network functional connectivity is modified by age and cognitive task domain. Journal of Cognitive Neuroscience, 31(4), 607-622. https://doi.org/10.1162/jocn_a_01368
Gates, K., Fisher, Z., Bollen, K., & Henry, T. (). Identifying and Estimating Relations Within and Between Functional Brain Networks using MIIVsem and GIMME: Modern Modeling Methods. .