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Investigating Effect of Ignoring Hierarchical Data Structures on Accuracy of Vertical Scaling Using Mixed-Effects Rasch Model
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Wang, Shudong; Jiao, Hong; Jin, Ying; Thum, Yeow Meng – Online Submission, 2010
The vertical scales of large-scale achievement tests created by using item response theory (IRT) models are mostly based on cluster (or correlated) educational data in which students usually are clustered in certain groups or settings (classrooms or schools). While such application directly violated assumption of independent sample of person in…
Descriptors: Scaling, Achievement Tests, Data Analysis, Item Response Theory