• 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

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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