Weighted Sequential Construction of Goodness-of-Fit Statistics from Pairwise Concordance Marginal Information in Sparse Binary IRT Models with Symmetric Intercepts and Slopes
When many binary items are analyzed, most cells in the complete response table are empty. Full-table statistics may then be unreliable, and an omnibus result does not locate the misfit. This paper develops a local goodness-of-fit testing method for binary item response models by extending the weighted sequential sums-o...