Prof. dr. Ellen Hamaker



Scholarly publications

Bringmann, L. F., Albers, C., Bockting, C., Borsboom, D., Ceulemans, E., Cramer, A., Epskamp, S., Eronen, M. I., Hamaker, E., Kuppens, P., Lutz, W., McNally, R. J., Molenaar, P., Tio, P., Voelkle, M. C., & Wichers, M. (2022). Psychopathological networks: Theory, methods and practice. Behaviour Research and Therapy, 149, 1-15. [104011].
Ryan, O., & Hamaker, E. L. (2022). Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality. Psychometrika, 87, 214–252.

Professional publications

Hamaker, E. (Author). (2022). DSEM in Mplus: Input and parameter estimates. Digital or Visual Products, YouTube.


Scholarly publications

Zyphur, M. J., Hamaker, E. L., Tay, L., Voelkle, M., Preacher, K. J., Zhang, Z., Allison, P. D., Pierides, D. C., Koval, P., & Diener, E. F. (2021). From Data to Causes III: Bayesian Priors for General Cross-Lagged Panel Models (GCLM). Frontiers in Psychology, 12, 1-13. [612251].
Hofmans, J., Morin, A. J. S., Breitsohl, H., Ceulemans, E., Chénard-Poirier, L. A., Driver, C. C., Fernet, C., Gagné, M., Gillet, N., González-Romá, V., Grimm, K. J., Hamaker, E. L., Hau, K. T., Houle, S. A., Howard, J. L., Kline, R. B., Kuijpers, E., Leyens, T., Litalien, D., ... Wille, B. (2021). The baby and the bathwater: On the need for substantive-methodological synergy in organizational research. Industrial and Organizational Psychology, 14(4), 497-504.
Mulder, J. D., & Hamaker, E. L. (2021). Three Extensions of the Random Intercept Cross-Lagged Panel Model. Structural Equation Modeling, 28(4), 638-648 .


Scholarly publications

Bastiaansen, J. A., Kunkels, Y. K., Blaauw, F. J., Boker, S. M., Ceulemans, E., Chen, M., Chow, S. M., de Jonge, P., Emerencia, A. C., Epskamp, S., Fisher, A. J., Hamaker, E. L., Kuppens, P., Lutz, W., Meyer, M. J., Moulder, R., Oravecz, Z., Riese, H., Rubel, J., ... Bringmann, L. F. (2020). Time to get personal? The impact of researchers choices on the selection of treatment targets using the experience sampling methodology. Journal of Psychosomatic Research, 137, 1-14. [110211].
Hamaker, E. L., Mulder, J. D., & van IJzendoorn, M. H. (2020). Description, prediction and causation: Methodological challenges of studying child and adolescent development. Developmental Cognitive Neuroscience, 46, 1-14. [100867].
Zyphur, M. J., Voelkle, M. C., Tay, L., Allison, P. D., Preacher, K. J., Zhang, Z., Hamaker, E. L., Shamsollahi, A., Pierides, D. C., Koval, P., & Diener, E. (2020). From Data to Causes II: Comparing Approaches to Panel Data Analysis. Organizational Research Methods, 23(4), 688-716.
Zyphur, M. J., Allison, P. D., Tay, L., Voelkle, M. C., Preacher, K. J., Zhang, Z., Hamaker, E. L., Shamsollahi, A., Pierides, D. C., Koval, P., & Diener, E. (2020). From Data to Causes I: Building A General Cross-Lagged Panel Model (GCLM). Organizational Research Methods, 23(4), 651-687.


Scholarly publications

Hamaker, E. L., & Muthén, B. (2019). The Fixed Versus Random Effects Debate and How It Relates to Centering in Multilevel Modeling. Psychological Methods.
McNeish, D., & Hamaker, E. L. (2019). A Primer on Two-Level Dynamic Structural Equation Models for Intensive Longitudinal Data in Mplus. Psychological Methods.
Usami, S., Murayama, K., & Hamaker, E. L. (2019). A Unified Framework of Longitudinal Models to Examine Reciprocal Relations. Psychological Methods, 24(5), 637-657.
Hamaker, E. L., & Ryan, O. (2019). A squared standard error is not a measure of individual differences. Proceedings of the National Academy of Sciences, 116(14), 6544-6545.


Scholarly publications

Hamaker, E. L., & Klugkist, I. (2011). Bayesian estimation of multilevel models. In Handbook of Advanced Multilevel Analysis (pp. 137-161). Taylor and Francis AS.


Scholarly publications

Hamaker, E. L., & Dolan, C. V. (2009). Idiographic data analysis: Quantitative methods-from simple to advanced. In Dynamic Process Methodology in the Social and Developmental Sciences (pp. 191-216). Springer US.