What is it about?
This study develops an ordinal logistic regression model to evaluate 12th-grade Kurdish teachers’ performance in Kurdistan, using multiple factors beyond student grades, achieving 87% accuracy in prediction.
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Why is it important?
It improves fairness and accuracy in teacher performance appraisal by using multiple data variables, helping education authorities make better-informed decisions for teacher assessment and school improvements.
Perspectives
Future studies can include more variables and expand to other subjects or regions. Integrating qualitative data and combining statistical models may further enhance teacher evaluation accuracy and education policy decisions.
Dr. Delshad Shaker Ismael Botani
Salahaddin University-Erbil
Read the Original
This page is a summary of: Using Ordinal Logistic Regression Analysis in Evaluating Teachers’ Performance Level of High Schools (12th grades) in Kurdistan Regional Government, Journal of Raparin University, October 2019, University of Raparin,
DOI: 10.26750/vol(6).no(2).paper4.
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