Polytomous Item Response Theory Models

By R. Ostini, Michael L. Nering. 2005

283 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/96ae30d413f2f1d6d91808bc8c305e7373a25693

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. Taehoon Kang
2. Allan S. Cohen
3. Steven M. Van Hauwaert
4. Flávio Azevedo
5. N. V. Dam
6. M. Earleywine
7. Christian H. Schimpf
8. A. Borders

In Management Science and Operations Research

1. Taehoon Kang
2. Allan S. Cohen
3. Steven M. Van Hauwaert
4. Flávio Azevedo
5. N. V. Dam
6. M. Earleywine
7. Christian H. Schimpf
8. A. Borders

Citations in the corpus

• Measuring mindfulness? An Item Response Theory analysis of the Mindful Attention Awareness Scale (2010, methodology): “A theoretically appropriate IRT model to explore this item response format is the Graded Response Model (GRM; see de Ayala (2009), Embretson and Reise (2000), Ostini and Nering (2006), Samejima (1969) and Samejima (1996)).”
• IRT Model Selection Methods for Dichotomous Items (2007, background): “A criticism of the AIC is that it is not asymptotically consistent because sample size is not directly involved in its calculation (Ostini & Nering, 2005; Schwarz, 1978; Sclove, 1987).”
• The measurement of populist attitudes: Testing cross-national scales using item response theory (2020, methodology): “…we advance the analysis in three steps using IRT analyses.4 Given our ordered polytomous data structure, we rely on the Graded Response Model (Ostini and Nering, 2006; Samejima, 1997), an extension of the two-parameter (2-PL) IRT model (cf. Hays et al., 2000).5 First, we analyse the original…”