Cronbach's Alpha Coefficient, The Coefficient of Canonical Correlation and Factor Analysis for Data Measuring Satisfaction of Video Services on mobile phones

Abstract

This research aims to compare between canonical correlation and factor analysis after finding Cronbach's alpha coefficient for data questionnaire to verify the stability of the results by checking the consistency within each pivot. The research concern about the relationship between the groups of responsive variables and group of explanatory variables after finding Cronbach's alpha coefficient. The researcher needs to harmonize between decreasing the number variables to avoid the increase of the obtaining information cost, and increasing the variables to obtain better predictive results. The study has been done between the variables that measure the quality of video services through mobile phones, and its relationship with satisfaction, the results indicate that the existence of a predictive relationship after finding Cronbach's alpha coefficient for the two methods. Moreover, the method of factor analysis has resulted greater explanatory value than the canonical correlation.