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What is Psychometric Network Model Recovery Insights about?

This study evaluates the performance of psychometric network models, specifically the EBICglasso algorithm, under varying conditions of sample size, number of nodes, and hyperparameter gamma. The findings indicate that sample size and network complexity significantly affect estimation accuracy, with methodological guidelines proposed for applied researchers. The research aims to enhance the reliability of psychometric network analyses by providing data-driven recommendations for study design.

Author

Elfie Samaniego

Language

EN