A Rasch Hierarchical Measurement Model

By Kimberly S. Maier. 2001

75 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Plant Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/6720f89682fa906fe22ee74a2d8e086ed78650b7

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

1. Sun-Joo Cho
2. Carlo P. Magno
3. Allan S. Cohen
4. L. DeCarlo
5. R. Tate

In Plant Science

1. Carlo P. Magno
2. Sun-Joo Cho
3. Allan S. Cohen

In Statistics and Probability

1. Sun-Joo Cho
2. Carlo P. Magno
3. Allan S. Cohen
4. J. Patrick Meyer
5. L. DeCarlo
6. R. Tate

Citations in the corpus

• Demonstrating the Difference between Classical Test Theory and Item Response Theory Using Derived Test Data (2009, methodology): “In (Pij/1 - Pij) = ui + vj There are various applications of the Rasch Model in test construction through itemmapping method (Wang, 2003) and as a hierarchical measurement method (Maier, 2001).”
• A Multilevel Mixture IRT Model With an Application to DIF (2010, methodology): “The combination of HLM with IRT is advantageous, as it provides more accurate estimates of the standard errors of the model parameters (Fox, 2005; Maier, 2001, 2002).”