All slides and assignments are available in this Dropbox folder! All materials from the winter school 2019 can be found here.
JASP
Jasp is an open-source and free point and click interface for performing state of the art statistical analyses, developed right here at the University of Amsterdam. The great team of Jasp has recently implemented the first version of a network module! Feel free to try it out and let us know what you think! Also check out their Youtube tutorial!
General information
- Location: Nieuwe Achtergracht 129-B, Amsterdam
- Building G, room S.08
- email: psynetsummerschool@gmail.com
- Program
- Booklet
- Interactive map with workshop locations and neighborhood tips
- To reach the workshop site, take the metro to “Weesperplein” or tram 7, 9 or 10.
Literature and references
These links are not mandatory to read but give a comprehensive overview of the materials covered throughout the week.
Day 1: Monday
In the morning, we will guide participants from Kriterion to the workshop location at 08:45.
Morning session: Introduction & Theoretical Foundation of Network Analysis
- Lecturer: Denny Borsboom
- Literature for lecture
- Fried, E. I. & Cramer, A. O. J. (2017). Moving forward: challenges and directions for psychopathological network theory and methodology. Perspectives on Psychological Science.
- Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16, 5–13.
- Borsboom, D., & Cramer, A. O. J. (2013). Network analysis: An integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9, 91-121.
- Literature for R
- Practice in R
Afternoon session: Network Science & Social Networks
- Lecturer: Jonas Dalege
- Literature
Introduction drinks
After the first day of the workshop, we will have introduction drinks in Kriterion.
Day 2: Tuesday
Morning session: Causality & Directed Acyclic Graphs
- Lecturer: Lourens Waldorp
- Literature
Afternoon session: Estimation 1: Markov Random Fields
- Lecturer: Sacha Epskamp
- Literature
- Supplementary Materials of Epskamp, S., Borsboom, D. & Fried, E.I. Estimating Psychological Networks and their Accuracy: A Tutorial Paper. (2017). Behavior Research Methods.
- Epskamp, S., & Fried, E. I. (2017). A Tutorial on Regularized Partial Correlation Networks.
- Supplementary materials of van Borkulo, C. D., Borsboom, D., Epskamp, S., Blanken, T. F., Boschloo, L., Schoevers, R. A., & Waldorp, L. J. (2014). A new method for constructing networks from binary data. Scientific Reports, 4, 5918.
- van Borkulo, C. D., Borsboom, D., Epskamp, S., Blanken, T. F., Boschloo, L., Schoevers, R. A., & Waldorp, L. J. (2014). A new method for constructing networks from binary data. Scientific Reports, 4, 5918.
Day 3: Wednesday
Morning session: Estimation 2: Accuracy, Stability and Replicability
- Lecturer: Tessa Blanken
- Literature
- Epskamp, S., Borsboom, D. & Fried, E.I. (2017). Estimating psychological networks and their accuracy: a tutorial paper. Behavior Research Methods.doi:10.3758/s13428-017-0862-1
- Fried, E. I. & Cramer, A. O. J. (2017). Moving forward: challenges and directions for psychopathological network theory and methodology. Perspectives on Psychological Science.
Day 4: Thursday
Morning session: Estimation 3: Time-series
- Lecturer: Sacha Epskamp
- Literature
- Epskamp, S., van Borkulo, C. D., van der Veen, D. C., Servaas, M. N., Isvoranu, A. M., Riese, H., & Cramer, A. O. (2017). Personalized network modeling in psychopathology: The importance of contemporaneous and temporal connections. Clinical Psychological Science, 6, 416-417. doi:10.1177/2167702617744325
- Epskamp, S., Waldorp, L. J., Mõttus, R., & Borsboom, D. (2018). The Gaussian Graphical Model in Cross-Sectional and Time-Series Data. Multivariate Behavioral Research, 0, 1-28. doi:10.1080/00273171.2018.1454823
- Bringmann, L. F., Vissers, N., Wichers, M., Geschwind, N., Kuppens, P., Peeters, F., Borsboom, D., & Tuerlinckx, F. (2013). A network approach to psychopathology: New insights into clinical longitudinal data. PLoS ONE, 8, e60188.
Afternoon session: Advanced Topics
- Lecturer: Jonas Haslbeck
- Literature
- Haslbeck J. M. B., Waldorp L. J. (2016). mgm: Structure estimation for time-varying mixed graphical models in high-dimensional data. The Journal of Statistical Software.
- Haslbeck J. M. B., Fried E. I. (2017). How predictable are symptoms in psychopathological networks? A Reanalysis of 18 published datasets. Psychological Medicine, 47, 2767-2776.
- Haslbeck J. M. B., Waldorp L. J. (2017). How well do Network Models predict Future Observations? On the Importance of Predictability in Network Models. Behavior Research Methods, 50, 853-861.
Dinner
There will be a dinner at de Bierfabriek at 18:00. The cost of the dinner is 55 euro per person. Please contact us if you would like to attend this but have not indicated so already within the google forms, or if you would like to bring along a guest