Application of DINA Model to Assess Omani and Iranian Fourth-Grade Students' Mathematics' Attributes

The present research study aims to apply the deterministic input noisy output and gate (DINA) model for assessing Omani and Iranian fourth-grade students’ mathematics attributes. All Omani and Iranian students who participated in the TIMSS 2015 mathematics fourth-grade assessment were selected as the statistical sample. To analyze the statistical data, the CDM package by the R programming was applied. The findings of parameter estimation revealed that many items could not fit the model well. However, about 25% of items’ slipping index was higher than 0.50 which indicated the students who have possessed all attributes, have answered the items incorrectly. Furthermore, the RMSEA value for all items was below 0.05 excluding item 40. Hence, skill probabilities estimation specified that Iranian students’ attribute probabilities were greater than Omani students