Epskamp, Sacha
Associate Professor
Director of Research
Ph.D. (Amsterdam), MSc (Amsterdam), BSc (Amsterdam)
Sacha Epskamp is an associate professor at the National University of Singapore, Department of Psychology. Previously, he worked at the University of Amsterdam in the Department of Psychology and the Centre for Urban Mental Health. In addition, Sacha Epskamp is a former research fellow at the Amsterdam Institute for Advanced Studies, and has been a visiting researcher at the Complexity Institute of Nanyang Technological University in 2015 and the Department of Psychology, National University of Singapore in 2019. In 2016, Sacha Epskamp completed his PhD on network psychometrics – estimating network models from psychological datasets and equating these to established psychometric modeling techniques. He has implemented these methods in several software packages now routinely used in diverse fields of psychological research. Sacha Epskamp teaches multivariate statistics and data science, and his research interests involve (network) psychometrics, meta-science and reproducibility, complexity, time-series modeling, and dynamical systems modeling. Sacha Epskamp has received several awards for his research, including the Leamer-Rosenthal Prize of the Berkeley Initiative for Transparency in the Social Sciences, the dissertation prize of the psychometric society, and the junior scientific reward of the Complex Systems Society.
TEL: | (65) 6516 1303 |
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EMAIL: | sepskamp@nus.edu.sg |
ROOM: | AS4-02-30 |
WEBPAGE: | Epskamp, Sacha |
Research Interests:
- Longitudinal data analysis
- Multivariate data analysis
- Structural equation modeling
- Network modeling
- Psychometrics
- Complexity
- Mental health
- Attitudes
- Polarization
Recent/Representative Publications:
Epskamp, S. & Fried, Eiko I. (2018). A Tutorial on Regularized Partial Correlation Networks. Psychological Methods 23(4), 617–634. https://doi.org/10.1037/met0000167
Epskamp, S., Rhemtulla, M. T., & Borsboom, D. (2017). Generalized Network Psychometrics: Combining Network and Latent Variable Models. Psychometrika 82(4), 904–927. https://doi.org/10.1007/s11336-017-9557-x
Epskamp, S., Waldorp, L. J., Mõttus, R., & Borsboom, D. (2018). The Gaussian Graphical Model in Cross-sectional and Timeseries Data. Multivariate Behavioral Research 53(4), 453–480. https://doi.org/10.1080/00273171.2018.1454823