Factors influencing the LR for detecting DIF in within-multidimensional data

Simulations were conducted to investigate factors that influence the performance of the logistic regression method in assessing differential item functioning (DIF) for within-multidimensional data. Several factors were manipulated when non-uniform DIF exists. It was found that the matching variable significantly influenced the accurately detection rates under the bidirectional DIF pattern.