The Causal Model of Relationship among Computer Attitude, Statistics Anxiety, Self-Efficacy and Statistical Software Acceptance

The aim of this research was to develop the causal model of relationship among computer attitude, statistics anxiety, statistical software self-efficacy and statistical software acceptance. Using the convenience sampling and according to the table of Krejcie and Morgan (1970), 260 master students at Shahid Bahonar University of Kerman who knew and worked with at least one statistical software were chosen as example. Using the questionnaire of statistical software acceptance (Hsu, Wang & Chiu, 2009), the scale of computer attitude (Harrison & Rainer, 1992), the scale of statistics anxiety (Cruise, Cash & Bolton, 1985), and the scale of statistical software self-efficacy (Compeau & Higgins, 1995) required data were collected and for their analysis of structural equation modeling was used. The results showed that both perceived usefulness and perceived ease of use positively influence students’ intention to use statistical software, whereas statistics anxiety has negative impact on all of them. In addition, computer attitude has positive effect on perceived usefulness and perceived ease of use, but statistical software self-efficacy has negative impact on perceived ease of statistical software and positive effect on perceived usefulness of use statistical software. Finally, it is concluded that the greatest software usage outcome would occur when a statistical software is perceived both useful and easy to use by the learners.