Publications

2019

Rodgers, J., Garrison, S., O’Keefe, P., Bard, D., Hunter, M., Beasley, W., & van den Oord, E. (2019). Responding to a 100-Year-Old Challenge from Fisher: A Biometrical Analysis of Adult Height in the NLSY Data Using Only Cousin Pairs. Behavior Genetics, 49(5), 444-454. https://doi.org/10.1007/s10519-019-09967-6

Oravecz, Z., & Brick, T. (2019). Associations Between Slow- and Fast-Timescale Indicators of Emotional Functioning. Social Psychological and Personality Science, 10(7), 864-873. https://doi.org/10.1177/1948550618797128

Dopp, A., Mundey, P., Silovsky, J., Hunter, M., & Slemaker, A. (2019). Economic value of community-based services for problematic sexual behaviors in youth: A mixed-method cost-effectiveness analysis. Child Abuse & Neglect, 105, 1-11. https://doi.org/10.1016/j.chiabu.2019.104043

Ou, L., Hunter, M., & Chow, S. (2019). What's for dynr: A package for linear and nonlinear dynamic modeling in R. R Journal, 11(1). https://doi.org/10.32614/rj-2019-012

Fisher, Z., Bollen, K., & Gates, K. (2019). A Limited Information Estimator for Dynamic Factor Models. Multivariate Behavioral Research, 54(2), 246-263. https://doi.org/10.1080/00273171.2018.1519406

Silovsky, J., Hunter, M., & Taylor, E. (2019). Impact of early intervention for youth with problematic sexual behaviors and their caregivers. Journal of Sexual Aggression, 25(1), 4-15. https://doi.org/10.1080/13552600.2018.1507487

Li, Y., Ji, L., Oravecz, Z., Brick, T., Hunter, M., & Chow, S. (2019). dynr.mi: An R Program for Multiple Imputation in Dynamic Modeling: eISSN:1307-6892. World Academy of Science, Engineering and Technology, International Science Index 149, 2019. International Journal of Computer, Electrical, Automation, Control and Information Engineering, 13(5), 302-311.

Girault, J., Arizmendi, C., Fisher, Z., Urban, C., Piven, J., & Gates, K. (2019). Identifying Age-Related Functional Connectivity Features Across Different Levels of Spatial Resolution: An Application of Multi-Scale GIMME: Brain Initiative. .

Lu, Z., Chow, S., Ram, N., & Cole, P. (2019). Zero-Inflated Regime-Switching Stochastic Differential Equation Models for Highly Unbalanced Multivariate, Multi-Subject Time-Series Data. Psychometrika. https://doi.org/10.1007/s11336-019-09664-7

Li, Y., Ji, L., Oravecz, Z., Hunter, M., & Chow, S. (2019). dynr.mi: An R Program for Multiple Imputation in Dynamic Modeling. , 305-341. https://doi.org/10.5281/zenodo.3298841

Ji, L., Chow, S., Crosby, B., & Teti, D. (2019). Exploring Sleep Dynamic of Mother-Infant Dyads Using a Regime-Switching Vector Autoregressive Model. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2019.1697863

Schneider, J., & Brick, T. (2019). plsR: Partial Least Squares Analysis for Dummies. .

You, D., Hunter, M., Chen, M., & Chow, S. (2019). A Diagnostic Procedure for Detecting Outliers in Linear State–Space Models. Multivariate Behavioral Research, 231-255. https://doi.org/10.1080/00273171.2019.1627659

Kolanowski, A., Behrens, L., Lehman, E., Oravecz, Z., Oravecz, Z., Resnick, B., Resnick, B., Lehman, E., Boltz, M., Van Haitsma, K., Galik, E., Ellis, J., & Eshraghi, K. (2019). Living well with dementia: Factors associated with nursing home residents’ affect balance. Research in gerontological nursing, 13(1), 21-30. https://doi.org/10.3928/19404921-20190823-01

Roberts, N., Oravecz, Z., Sprague, B., & Geier, C. (2019). A novel hierarchical later process model: Evaluating latent sources of variation in reaction times of adult daily smokers. Frontiers in Psychiatry, 10(0), 474. https://doi.org/10.3389/fpsyt.2019.00474

Varangis, E., Razlighi, Q., Habeck, C., Fisher, Z., & Stern, Y. (2019). Between-Network Functional Connectivity is Modified by Age and Cognitive Task Domain. Journal of Cognitive Neuroscience, 31(4), 607--622.

Heshmati, S., Oravecz, Z., Pressman, S., Batchelder, W., Muth, C., & Vandekerckhove, J. (2019). What does it mean to feel loved: Cultural consensus and individual differences in felt love. Journal of Social and Personal Relationships, 36(1), 214-243. https://doi.org/10.1177/0265407517724600

Li, Y., Ji, L., Oravecz, Z., Hunter, M., & Chow, S. (2019). dynr.mi: An R Program for Multiple Imputation in Dynamic Modeling: Proceedings of the International Conference on Computational Social Science (ICCSS 2019). , 305-314.

Knapp, K., Cleveland, H., Brick, T., & Bunce, S. (2019). Exploring daily processes of addiction: Associations between social experiences and craving among opioid addicts in treatment: Annals of Behavioral Medicine. , 53, S398--S398. https://doi.org/10.1115/DETC2016-59757

Jenkins, A., Fredman, S., Le, Y., Sun, X., Brick, T., Skinner, O., & McHale, S. (2019). Prospective associations between depressive symptoms and marital satisfaction in Black couples. Journal of Family Psychology. https://doi.org/10.1037/fam0000573

McKee, K., Hunter, M., & Neale, M. (2019). A Method of Correcting Estimation Failure in Latent Differential Equations with Comparisons to Kalman Filtering. Manuscript Under Review. https://doi.org/10.1080/00273171.2019.1642730

Hepworth, A., Brick, T., & Small, M. (2019). Exploring Parents’ Satisfaction with Infant and Toddler Feeding Information: A Repeated-Measures Analysis of Information Need and Acquisition Characteristics (P17-006-19). Current developments in nutrition, 3(0), nzz038--P17. https://doi.org/10.1093/cdn/nzz038.P17-006-19

Ji, L., Chen, M., Oravecz, Z., Lu, Z., & Chow, S. (2019). A Bayesian Vector Autoregressive Model with Nonignorable Missingness in Dependent Variables and Covariates: Development, Evaluation, and Application to Family Processes. Structural Equation Modeling, 1-26. https://doi.org/10.1080/10705511.2019.1623681