Designing and validating the quality of educational services based on student satisfaction Based on the Khan model

Subject Areas : Educational Science

amir amiri roshkhar ¹ , mehdi zirak ² , Mahmood Ghorbani ³ , Ali Hosseinzadeh ⁴

1 - PhD Student, Department of Educational Sciences, Torbat Heydariyeh Branch, Islamic Azad University, Torbat Heydariyeh, Iran
2 - Assistant Professor, Department of Educational Sciences, Torbat Heydariyeh Branch, Islamic Azad University, Torbat Heydariyeh, Iran
3 - Associate Professor, Department of Educational Sciences, Mashhad Branch, Islamic Azad University, Mashhad, Iran
4 - Assistant Professor, Department of Educational Sciences, Torbat Heydariyeh Branch, Islamic Azad University, Torbat Heydariyeh, Iran

Received: 2021-02-24 Accepted : 2021-03-14 Published : 2021-02-19

Keywords: Students, Quality of educational services, Khan model, staff and university officials,

Abstract :

The purpose of this study was to design and validate the quality of educational services based on student satisfaction based on Khan model. The research method was qualitative and quantitative and the statistical population for the qualitative section was 20 faculty members and experts of the Islamic Azad University and in the quantitative section all the students of the Islamic Azad University of Mashhad were 32,000. According to Cochran's formula, 384 people were selected as a statistical sample by simple random sampling. Data collection tools included interviews and a 57-item researcher-made questionnaire tailored to Khan. After confirmation of validity (judgment of experts and professors) and reliability (Cronbach's alpha calculation 0.92) was distributed among students of Islamic Azad University, Mashhad Branch. Descriptive and inferential statistical methods were used to analyze the data. In descriptive statistics, the central index and dispersion such as mean, standard deviation and in the inferential part of exploratory and confirmatory factor analysis at 95% confidence level with SPSS software. S18 and PLS version 3 were performed. Based on the analysis of qualitative data obtained from in-depth and exploratory interviews and coding and analyzing the content of the interview text and at the same time their compliance with theoretical foundations, the results showed that the organizational dimension with a factor load of 0.589 in the direction of identified factors. Effective in student satisfaction is the most important and after technology with a factor load of 0.511 is the least important.