Publicaties
2022
Wetenschappelijke publicaties
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]. https://doi.org/10.1016/j.brat.2021.104011
Ryan, O., & Hamaker, E. L. (2022). Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality. Psychometrika, 87, 214–252. https://doi.org/10.1007/s11336-021-09767-0
Vakpublicaties
Hamaker, E. (Author). (2022). DSEM in Mplus: Input and parameter estimates. Digital or Visual Products, YouTube. https://www.youtube.com/watch?v=dA3HvJZDzeo&list=PLet3DgvxBn2S7N2hVW4COAwH3_VaRoujd
2021
Wetenschappelijke publicaties
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]. https://doi.org/10.3389/fpsyg.2021.612251
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. https://doi.org/10.1017/iop.2021.111
Mulder, J. D., & Hamaker, E. L. (2021). Three Extensions of the Random Intercept Cross-Lagged Panel Model. Structural Equation Modeling, 28(4), 638-648 . https://doi.org/10.1080/10705511.2020.1784738
2020
Wetenschappelijke publicaties
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]. https://doi.org/10.1016/j.jpsychores.2020.110211
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]. https://doi.org/10.1016/j.dcn.2020.100867
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. https://doi.org/10.1177/1094428119847280
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. https://doi.org/10.1177/1094428119847278
2019
Wetenschappelijke publicaties
Hamaker, E. L., & Muthén, B. (2019). The Fixed Versus Random Effects Debate and How It Relates to Centering in Multilevel Modeling. Psychological Methods. https://doi.org/10.1037/met0000239
McNeish, D., & Hamaker, E. L. (2019). A Primer on Two-Level Dynamic Structural Equation Models for Intensive Longitudinal Data in Mplus. Psychological Methods. https://doi.org/10.1037/met0000250
Usami, S., Murayama, K., & Hamaker, E. L. (2019). A Unified Framework of Longitudinal Models to Examine Reciprocal Relations. Psychological Methods, 24(5), 637-657. https://doi.org/10.1037/met0000210
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. https://doi.org/10.1073/pnas.1818033116
2011
Wetenschappelijke publicaties
Hamaker, E. L., & Klugkist, I. (2011). Bayesian estimation of multilevel models. In Handbook of Advanced Multilevel Analysis (pp. 137-161). Taylor and Francis AS.
2009
Wetenschappelijke publicaties
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. https://doi.org/10.1007/978-0-387-95922-1_9