An Approach for Categorizing DIF in Polytomous Items

By Randall D. Penfield. 2007

53 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/120886792318508957cec444cd300e511f481cc5

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. Sophia Rabe-Hesketh
2. Minjeong Jeon
3. S. Danoff-Burg
4. N. V. Dam
5. M. Earleywine
6. Frank Rijmen
7. Christine E. DeMars

In Management Science and Operations Research

1. Sophia Rabe-Hesketh
2. Minjeong Jeon
3. S. Danoff-Burg
4. N. V. Dam
5. M. Earleywine
6. Frank Rijmen
7. A. Skrondal
8. Christine E. DeMars

In Statistics and Probability

1. S. Danoff-Burg
2. Sophia Rabe-Hesketh
3. Minjeong Jeon
4. N. V. Dam
5. M. Earleywine
6. Frank Rijmen
7. A. Skrondal
8. Andrew Pickles

Citations in the corpus

• Modeling Differential Item Functioning Using a Generalization of the Multiple-Group Bifactor Model (2013, methodology): “For instance, Penfield’s (2007) classification scheme for DIF effect sizes can be applied to interpret the DIF effect dih in Equation (2).”
• Differential item function across meditators and non-meditators on the Five Facet Mindfulness Questionnaire (2009, methodology): “In the current study, 46% of the items displayed large DIF (see Penfield, 2007a) at a stringent Bonferroni cut-off.”