**PLEASE FILL IN THE MENU FORM FOR THE DINNER AS SOON AS POSSIBLE**

All slides and assignments are available in this Dropbox folder!

JASP beta version

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 out the Jasp 0.8.2.1 beta version, and let us know what you think!

• Windows: https://static.jasp-stats.org/JASP-0.8.2.1-Setup.exe
• Mac: http://static.jasp-stats.org/JASP-0.8.2.1.dmg
• Example data file
• Example JASP save file

 

General information

• Location: Nieuwe Achtergracht 129-B, Amsterdam
• 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.

• Network analysis cookbook
• Network Psychometrics Dissertation
• Not a network psychometrics handbook

Day 1: Monday, August 28

In the morning, we will guide participants from Kriterion to the workshop location at 08:45.

Morning session: Introduction to R

• Location: Room 2.01
• Lecturer: Jonas Dalege
• Lecture Slides 
• Literature
  • A (very) short introduction to R
  • Beginners guide to R
• Practice
  • Datacamp
  • Try R

Afternoon session: Introduction & Theoretical Foundation of Network Analysis + Plotting Networks

• Location: Room 2.01
• Lecturer: Eiko Fried
• Lecture Slides (to be added)
• Exercises
• Literature
  • Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16, 5–13.
  • Fried, E. I., van Borkulo, C. D., Cramer, A. O. J., Lynn, B., Schoevers, R. A., Borsboom, D. (2016). Mental disorders as networks of problems: a review of recent insights. Social Psychiatry and Psychiatric Epidemiology.

Introduction drinks

After the first day of the workshop, we will have introduction drinks in Kriterion.

Day 2: Tuesday, August 29

Morning session: Causality & Philosophy of Science

• Location: Room -1.09
• Lecturer: Riet van Bork
• Lecture Slides (to be added)
• Exercises (to be added)
• Literature
  • Judea Pearl – Causality
  • Pearl introduction
  • Pearl Epilogue
  • D-separation

Afternoon session: Markov Random Fields 1: Estimating Gaussian Graphical Models & Ising Models

• Location: Room -1.09
• Lecturer: Sacha Epskamp
• Lecture Slides (to be added)
• Exercises (to be added)
• 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, August 30

Morning session: Markov Random Fields 2: Centrality, Replicability & Challenges

• Location: Room 2.01
• Lecturer: Eiko Fried
• Lecture Slides (to be added)
• Exercises (to be added)
• 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.
  • Opsahl, T., Agneessens, F., & Skvoretz, J. (2010). Node centrality in weighted networks: Generalizing degree and shortest paths. Social networks, 32(3), 245-251.

Afternoon session: Directed Acyclic Graphs (DAGs)

• Location: Room 2.01
• Lecturer: Lourens Waldorp
• Lecture Slides (to be added)
• Exercises (to be added)
• Literature
  • Cosma Shalizi:  Discovering Causal Structure from Observations
  • Causal Inference Using Graphical Models with the R Package pcalg
  • bnlearn website

Day 4: Thursday, August 31

Morning session: Time Series Modeling 1

• Location: Room 2.01
• Lecturer: Sacha Epskamp
• Lecture Slides (to be added)
• Exercises (to be added)
• Literature
  • Epskamp, S., Waldorp, L. J., Mõttus, R., & Borsboom, D. (2017). Discovering Psychological Dynamics: The Gaussian Graphical Model in Cross-sectional and Time-series Data.
  • 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: Time Series Modeling 2

• Location: Room 2.01
• Lecturer: Jonas Haslbeck
• Lecture Slides (to be added)
• Exercises (to be added)
• 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.

Dinner

There will be a dinner in the Ysbreker at 18:00. Please fill in the menu form as soon as possible! Guests can be invited to the dinner for an extra cost of 55 euro per person. Please contact us in this case and let the guest fill in the menu form separately.

Day 5: Friday, September 1

Morning Session: Symposium: Social Network Analysis, Network Psychometrics & Predictability

• Location: Room 2.01
• Lecturers: Jonas Haslbeck & Sacha Epskamp
• Lecture Slides (to be added)
• Exercises (to be added)
• Literature
  • Epskamp, S., Rhemtulla, M.T., & Borsboom, D. Generalized Network Psychometrics: Combining Network and Latent Variable Models (2017). Psychometrika.
  • 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.
  • Haslbeck J. M. B., Fried E. I. (2017). How predictable are symptoms in psychopathological networks? A Reanalysis of 18 published datasets. Psychological Medicine.

Afternoon Session: Work on own data and Q&A session

• Location: Room 2.01