Robustness of Item Parameter Estimation Programs to Assumptions of Unidimensionality and Normality

By L. Kirisci, T. Hsu, Lifa Yu. 2001

121 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/4646e0773361115b90e077b27e35aa77369b7635

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. Máaarcia D. Branco
2. Heleno Bolfarine
3. Jorge L. Bazán

In Management Science and Operations Research

1. Máaarcia D. Branco
2. Heleno Bolfarine
3. Jorge L. Bazán

Citations in the corpus

• Improving the measurement of material deprivation at the European Union level (2016, background): “Unidimensional IRT models are robust to moderate degrees of multidimensionality, however, as defined by factor analyses, particularly where the dimensions are highly correlated and/or where the test/index length is more than 20 items and/or the sample size is more than 250 (Kirisci et al., 2001).”
• A skew item response model (2006, background): “Kirisci et al. (2001) found that the main effects of the distribution of U was not significant for all parameters investigated in the three-parameters logistic”