A Multi-Facet Rasch Analysis of the College Teacher Evaluation Inventory

Year: 1999

Author: Wang, Wen-Chung, Cheng, Ying-Yao

Type of paper: Abstract refereed

A teacher evaluation inventory with ten Likert items was developed. Thirty college teachers were rated by 293 students. A multi-facet Rasch technique was applied to analyze the test data. The items fit the Rasch-type model fairly well. The separation reliability for the teachers is .98, meaning that the items can differentiate the teachers very well. A cutoff score was set to .50 logits that only teachers with performances above the cutoff score can apply an outstanding teacher award.

Keywords: teacher evaluation, Rasch model, outstanding teachers, inventory.