The identification of validation factors of international standards in the assessment system of Farhangian University

Subject Areas :

Zahra Piroozian ¹ , Mohammad Karimi ² , Moslem Charabine ³ , Ali Maghool ⁴

1 - PhD Student, Educational Administration Department, Neishaboor Branch, Islamic Azad University, Neishaboor, Iran.
2 - Assistant Professor, Administration Department, Neishaboor Branch, Islamic Azad University, Neishaboor, Iran.
3 - Assistant professor, , Educational Administration Department, Neishaboor Branch, Islamic Azad University, Neishaboor, Iran.
4 - Assistant Professor, Administration Department, Neishaboor Branch, Islamic Azad University, Neishaboor, Iran.

Received: 2021-02-02 Accepted : 2022-04-03 Published : 2022-05-22

Keywords: validation, international standards, assessment system,

Abstract :

The purpose of this research was to identify the validation factors of international standards in the assessment system of Farhangian University. This is an applied and qualitative study which has been conducted using grounded theory (data-driven) technique. The statistical population of this study was the elites, professionals, and faculty members at Farhangian University, Khorasan. 18 members of this sample were recruited using the purposeful sampling and according to the saturation principle via a semi-structured interview.Face and content validity of the questionnaire used in this study has been approved. The necessity of each extracted item had been assessed for the validation of international standards in the assessment system. The study was analyzed using open, axial, and selective coding. The results were represented in three separate codes and the codes were grouped into 15 axes. Our conclusion showed that the total number of nodes in non-repeated codes were 400 which were combined according to the conceptual similarities and 141 nodes (common codes) were extracted. These codes were clustered based on 3 main factors; i.e., internal, executive, and external factors and 15 subsidiary factors according to tree nodes; and finally, the main and subsidiary factors were identified. The results showed that research model had an acceptable reliability and the results were in line with the literature.