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Comparing network structures on three aspects: A permutation test.

📅 April 11, 2022 👤 Claudia D. van Borkulo, Riet van Bork, Lynn Boschloo et al. 📖 Psychological Methods 📊 1,317 citations

🤖 Plain-English Summary

Network approaches to psychometric constructs, in which constructs are modeled in terms of interactions between their constituent factors, have rapidly gained popularity in psychology. Possible extensions of NCT are discussed.

🔑 Key Findings

  • Applications of such network approaches to various psychological constructs have recently moved from a descriptive stance, in which the goal is to estimate the network structure that pertains to a construct, to a more comparative stance, in which the goal is to compare network structures across populations.
  • However, the statistical tools to do so are lacking.
  • In this article, we present the network comparison test (NCT), which uses resampling-based permutation testing to compare network structures from two independent, cross-sectional data sets on invariance of (a) network structure, (b) edge (connection) strength, and (c) global strength.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Apr 11, 2022
Journal Psychological Methods
Authors Claudia D. van Borkulo, Riet van Bork, Lynn Boschloo, Jolanda J. Kossakowski, Pia Tio
DOI 10.1037/met0000476
Citations 1,317
Source OpenAlex

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