Modeling Nonignorable Missing Data in Speeded Tests

By Cees A. W. Glas, J. Pimentel. 2008

87 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c058f0fdc2d1950bd2aab8ed4d877f24f38fff1a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. I. Partchev
2. Linda Gräfe
3. S. Pohl
4. N. Rose
5. P. De Boeck
6. Jiyun Zu
7. Patrick C. Kyllonen

In Statistics and Probability

1. Linda Gräfe
2. S. Pohl
3. N. Rose
4. I. Partchev
5. P. De Boeck
6. Jiyun Zu
7. Patrick C. Kyllonen

Citations in the corpus

• Modeling Nonignorable Missing Data with Item Response Theory (IRT). Research Report. ETS RR-10-11. (2010, unknown): “In this approach, an additional dimension based on response indicator variables (Glas & Pimentel, 2008; Holman & Glas, 2005; Moustaki & Knott, 1999) was defined and calibrated together with the set of items containing the observed responses.”
• IRTrees: Tree-Based Item Response Models of the GLMM Family (2012, background): “The approach just sketched is for intermediate omissions and not for end omissions (items not reached), but also the latter kind can be incorporated in a linear response tree (Glas and Pimentel 2008).”
• Dealing With Omitted and Not-Reached Items in Competence Tests (2014, methodology): “The 426 Educational and Psychological Measurement 74(3) missing tendency is included either (a) via a latent missing propensity (Holman & Glas, 2005; Glas & Pimentel, 2008; Moustaki & Knott, 2000; O’Muircheartaigh & Moustaki, 1999) that is accounted for in a multidimensional IRT model (latent…”