Mixture-Distribution and HYBRID Rasch Models
By Matthias von Davier, Kentaro Yamamoto. 2007
49 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/132e224f89f7777668539bb4e683a62309e547b0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
Citations in the corpus
- A Multilevel Mixture IRT Model With an Application to DIF (2010, methodology): “…with the WinBUGS code has been shown to be comparable with the result with LatentGOLD syntax module based on marginal maximum likelihood estimation (Vermunt & Magidson, 2007). von Davier and Yamamoto (2007) have noted that MCMC typically requires substantial computing time to obtain usable results.”