A explorator factor analysis Of computer self-efficacy

Abstract

The research aimed to exploratory factor analysis of computer self-efficacy of undergraduate students at Department of Information Technology, Faculty of Science and Technology, Suan Sunandha Rajabhat University. The sample used in this study included 80 students who studied in level 3 in second semester of academic year 2012. The data collection tool is a questionnaire use a 5 rating scale. The finding revealed that the computer self-efficacy of undergraduate students was divided into 4 groups: group 1: Computer software and hardware consisted of 6 variables can be explain the computer self-efficacy 40.58%. Group 2 : Computer skills consisted of 3 variables can be explain the computer self-efficacy 11.19%. Group 3 : Data management consists of 2 variables can be explain the computer self-efficacy 9.50%. Group 4 Advanced Computer skills consists of 2 variables can be explain the computer self-efficacy 7.82%. which factors in 4 group will be able to explain the computer self-efficacy 69.08 %