A study on the satisfaction with distance learning of university students with disabilities: bivariate regression analysis using a multiple permutation test





Covid-19; Distance Learning; Disabilities; Student Satisfaction; Permutation Test


The Covid-19 pandemic led to considerable changes in instruction: all learning activities were switched to virtual mode, testing the adaptability of professors and students. Among the latter, a relevant effort was asked of individuals with disabilities, normally helped by technologies but forced to change some of their habits and methods. The paper takes into account data of an empirical survey administered in Ferrara (Italy). We carried out a bivariate regression analysis and applied a multiple permutation test in order to study the effect of personal factors and didactic critical issues on the perceived quality of distance learning. The original scientific contribution of the work is dual because it concerns both application and method. The good performance of the multiple permutation test was demonstrated by a Monte Carlo simulation study.

Author Biographies

Stefano Bonnini, University of Ferrara

Associate Professor in Statistics at the Department of Economics and Managament, University of Ferrara (Italy) 

Giorgio Cavallo, University of Ferrara

Research Fellow in Statistics at the Department of Economics and Management of the University of Ferrara (Italy)