Transitive differential item functioning clustering: A graph-theoretic approach to identifying many-group partial measurement invariance.
When measuring latent constructs across multiple demographic groups, identifying partial measurement invariance is essential for valid and fair comparisons. Recent advances, such as the neural network approach implemented in InterDIFNet, provide probabilistic differential item functioning (DIF) estimates for all pairwi...