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Direct linkFerrara, Steve; Steedle, Jeffrey T.; Frantz, Roger S. – Applied Measurement in Education, 2022
Item difficulty modeling studies involve (a) hypothesizing item features, or item response demands, that are likely to predict item difficulty with some degree of accuracy; and (b) entering the features as independent variables into a regression equation or other statistical model to predict difficulty. In this review, we report findings from 13…
Descriptors: Reading Comprehension, Reading Tests, Test Items, Item Response Theory
Kettler, Ryan J.; Rodriguez, Michael C.; Bolt, Daniel M.; Elliott, Stephen N.; Beddow, Peter A.; Kurz, Alexander – Applied Measurement in Education, 2011
Federal policy on alternate assessment based on modified academic achievement standards (AA-MAS) inspired this research. Specifically, an experimental study was conducted to determine whether tests composed of modified items would have the same level of reliability as tests composed of original items, and whether these modified items helped reduce…
Descriptors: Multiple Choice Tests, Test Items, Alternative Assessment, Test Reliability
Meyers, Jason L.; Miller, G. Edward; Way, Walter D. – Applied Measurement in Education, 2009
In operational testing programs using item response theory (IRT), item parameter invariance is threatened when an item appears in a different location on the live test than it did when it was field tested. This study utilizes data from a large state's assessments to model change in Rasch item difficulty (RID) as a function of item position change,…
Descriptors: Test Items, Test Content, Testing Programs, Simulation
