- Type:#article
- Date read: 2022-08-22
- Subject: Network theory
- Bibtex: @borsboom2021
- Bibliography: Borsboom, D., Deserno, M. K., Rhemtulla, M., Epskamp, S., Fried, E. I., McNally, R. J., Robinaugh, D. J., Perugini, M., Dalege, J., Costantini, G., Isvoranu, A.-M., Wysocki, A. C., van Borkulo, C. D., van Bork, R., & Waldorp, L. J. (2021). Network analysis of multivariate data in psychological science. Nature Reviews Methods Primers, 1(1), 1–18. https://doi.org/10.1038/s43586-021-00055-w
Example citation §
Key takeaways §
- In the context of most psychological data sets
- Network nodes represent variables in a data set
- Network edges represent pairwise conditional associations between variables in the data, while conditioning on the remaining variables
- Network analysis can be applied to cross-sectional data, repeated measures and intensive longitudinal data (EMA)
- Network approaches can be used for several different goals:
- Structure of high-dimensional data (no need for prior theory on variable relations)
- Communicate multivariate patterns of dependency effectively
- Generate causal hypotheses that offer clues to causal dynamics
