Detecting Differential Item Discrimination (DID) and the Consequences of Ignoring DID in Multilevel Item Response Models
Woo‐yeol Lee; Sun‐Joo Cho · 2017 · Journal of Educational Measurement
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Cross‐level invariance in a multilevel item response model can be investigated by testing whether the within‐level item discriminations are equal to the between‐level item discriminations. Testing the cross‐level invariance assumption is…
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Metadata source: Crossref · DOI 10.1111/jedm.12148