Disclaimer: See pre-prints of published versions of chapters for latest up-to-date versions of the corresponding paper.

Contents

# PhD Dissertation

## Front Matter

### Cover and Table of Contents

### Chapter 1: Introduction: Psychological Networks

- Parts of this chapter have been adapted from: Epskamp, S., Borsboom, D., and Fried, E.I. (in press). Estimating Psychological Networks and their Accuracy: A Tutorial Paper.
*Behavior Research Methods*.

## Part I: A Practical Guide to Network Psychometrics

### Chapter 2: Regularized Partial Correlation Networks

- This chapter has been adapted from: Epskamp, S., and Fried, E.I. (2016). A Tutorial on Regularized Partial Correlation Networks.
*arXiv preprint*, arXiv:1607.01367, and: Epskamp, S. (2016). Regularized Gaussian Psychological Networks: Brief Report on the Performance of Extended BIC Model Selection. arXiv preprint, arXiv:1606.05771.

### Chapter 3: Accuracy of Psychological Networks

- This chapter has been adapted from: Epskamp, S., Borsboom, D., and Fried, E.I. (in press). Estimating Psychological Networks and their Accuracy: A Tutorial Paper.
*Behavior Research Methods*.

### Chapter 4: Network Estimation and Sparsity

- This chapter has been adapted from: Epskamp, S., Kruis, J., and Marsman, M (2016). Estimating psychopathological networks: be careful what you wish for.
*arXiv preprint*, arXiv:1604.08045.

### Chapter 5: Personalized Network Modeling in Psychopathology

- This chapter has been adapted from: Epskamp, S., van Borkulo, C.D., van der Veen, D.C., Servaas, M.N., Isvoranu, A.M., Riese, H., and Cramer, A.O.J. Personalized Network Modeling in Psychopathology: The Importance of Contemporaneous and Temporal Connections.

## Part II: Technical Advances in Network Psychometrics

### Chapter 6: Discovering Psychological Dynamics

- This chapter has been adapted from: Epskamp, S., Waldorp, L.J., M~ottus, R., and Borsboom, D. (2016). Discovering Psychological Dynamics: The Gaussian Graphical Model in Cross-sectional and Time-series Data.
*arXiv preprint*, arXiv:1609.04156.

### Chapter 7: Generalized Network Psychometrics

- This chapter has been adapted from: Epskamp, S., Rhemtulla, M.T., and Borsboom, D. (in press). Generalized Network Psychometrics: Combining Network and Latent Variable Models.
*Psychometrika*.

### Chapter 8: The Ising Model in Psychometrics

- This chapter has been adapted from: Epskamp, S., Maris, G., Waldorp, L.J., and Borsboom, D. (in press). Network Psychometrics. In Irwing, P., Hughes, D., and Booth, T. (Eds.),
*Handbook of Psychometrics*. New York: Wiley.

## Part III: Visualizing Psychometrics and Personality Research

### Chapter 9: Network Visualizations of Relationships in Psychometric Data

- This chapter has been adapted from: Epskamp, S., Cramer, A.O.J., Waldorp, L.J., Schmittmann, V.D., and Borsboom, D. (2012). qgraph: Network Visualizations of Relationships in Psychometric Data. Journal of Statistical Software, 48 (1), 1–18.

### Chapter 10: State of the aRt Personality Research

- This chapter has been adapted from: Costantini, G., Epskamp, S., Borsboom, D., Perugini, M., Mõttus, R., Waldorp, L. J., and Cramer, A. O. J. (2014). State of the aRt personality research: A tutorial on network analysis of personality data in R. Journal of Research in Personality 54, 13–29. (The first two authors contributed equally to this work).

### Chapter 11: Unied Visualizations of Structural Equation Models

- This chapter has been adapted from: Epskamp, S. (2015). semPlot: Unied visualizations of Structural Equation Models.
*Structural Equation Modeling, 22*, 474-483.

## Conclusion

### Discussion: The Road Ahead

## Appendices

### References

### Contributed Work

### Nederlandse Samenvatting (Dutch summary)

### Acknowledgements / Dankwoord