Open AccessTHE ANALYSIS OF FACTORS AFFECTING THE AUTHORITY OF UNIVERSITY PROFESSORS: A CASE OF IRAN, THE ISLAMIC REPUBLIC OF
Author(s) -
Abdulali Ahmadi,
Ali Moradi
Publication year - 2021
Publication title -
american international journal of social science research
Language(s) - English
Resource type - Journals
eISSN - 2576-1048
pISSN - 2576-103X
DOI - 10.46281/aijssr.v6i2.1063
Subject(s) - mathematics , statistics , cronbach's alpha , cmin , structural equation modeling , population , pearson product moment correlation coefficient , regression analysis , psychology , social psychology , descriptive statistics , demography , sociology , medicine , cmax , pharmacology , bioavailability
The method employed in this study was a descriptive correlation in which two validated researcher-made questionnaires were used to collect data. The population involved 1770 university professors in the academic year 2019-2020. From the population, 240 were randomly selected. The data was analyzed using SPSS 21 and Amos 21. Pearson correlation was used to decide the relationship between variables, one-way ANOVA to compare means, Cronbach alpha to determine reliability, and factor analysis was to check the research model and substantiate construct validity. As a result, professor authority was found to have a significant negative correlation with relative deprivation. In addition, the academic status, age, and marital status of professors turned out to exert significant positive effects on their authorities. Furthermore, the chi-square minimum discrepancy value (CMIN) was equal to 523.414, the root mean square error of approximation (RMSEA) was 0.049, the root mean square of the residuals (RMR) was equal to 0.090, the minimum discrepancy per degree of freedom (CMIN/DF) in the model was 1.562, the comparative fit index (CFI) was 0.925, and finally, the parsimonious comparative fit index (PCFI) equaled 0.820. Thus, the comparative and parsimonious indices calculated to evaluate the solidarity of the constructs demonstrated that the collected data can be considered as supporting the research validity.
JEL Classification Codes: I21, I23, I31, I32.