http://repub.eur.nl/res/aut/5927/ List of Publications en http://repub.eur.nl/static-eur/img/logo.png http://repub.eur.nl http://repub.eur.nl/res/pub/17812/ 2007-11-01T00:00:00Z A recurring question in the study of computer anxiety is whether computer anxiety is a relatively stable personality trait or a mutable, temporary state. The two studies reported examined this question in two groups of first year psychology students. These students were requested to complete a computer anxiety test, a trait anxiety test, and a state anxiety test. Some groups were administered the tests in a pen and paper format, while others were tested using computerized tests. In the first study, a Dutch version of the Profile of Mood States (POMS) was used; in the second study, a Dutch adaptation of the State-Trait Anxiety Inventory (STAI). The data were analyzed using structural equation modeling. In both studies, computer anxiety turned out to be related more strongly to trait anxiety than to state anxiety. In fact, there was no relationship between computer anxiety and state anxiety in the pen and paper format. In the computerized versions however, computer anxiety and state anxiety were related, suggesting that state anxiety in situations involving a computer is caused by pre-existing computer anxiety. http://repub.eur.nl/res/pub/2829/ 2004-01-01T00:00:00Z This study was conducted to test the hypothesis whether computer anxiety has a hindering effect on experienced computer users while performing complex computer tasks. Participants were 75 third-year psychology students taking a Delphi programming course. Prior to the course, a computer anxiety scale was filled in. Computer performance was measured in four different ways: through final course grade, predicted final grade, self-perceived programming skills, and through observed behavior while programming a computer application. The results showed that computer anxiety was found to correlate with the students’ prediction of their final grade and with the perception of their own computer skills, but had no effect on actual performance as measured by the final course grade. Furthermore, there was no significant effect of computer anxiety on behavioral measures while students were programming a computer application. The findings point into the direction of a “threshold effect”, where anxiety only hinders performance when this anxiety is sufficiently severe or when the context in which the task to be executed on a computer is ambiguous. http://repub.eur.nl/res/pub/2843/ 2003-11-01T00:00:00Z In this article two studies are reported that tested the nature of the relationship between computer experience and computer anxiety. In the first study 184 first year psychology students were given a questionnaire that measured their computer experience in terms of e.g. breadth of experience, hours spent on working with computers, skills level, the nature of the first computer experience and the occurrence of computer anxiety. A combined latent-factor path model depicting the relationship between experience and anxiety was construed and tested by means of EQS. The model in which computer experience unidirectionally influenced computer anxiety showed a reasonable fit (CFI=0.91). Two other models were also tested. The model in which experience was a consequence of anxiety in terms of physical arousal and affect and the reciprocal model showed insufficient fit (CFI=0.79 and 0.86). A second study among 225 first and third year psychology students was done to see if the original model could be improved upon. Adding the variables "sex" and "necessity of use of computers" into the model improved the fit of the model (CFI=0.93); it was also found that the amount of control felt during the first experience raised levels of feeling computer literate and liking the computer. http://repub.eur.nl/res/pub/2859/ 2001-01-01T00:00:00Z A six-factor model of computer anxiety was tested in two samples of university students. The dimensions involved were: computer literacy, self-efficacy, physical arousal caused by computers, affective feelings about them, beliefs about the beneficial effects of computers, and beliefs about their dehumanizing aspects. Confirmatory factor analyses showed that, compared to a number of alternative models proposed in the literature, the data fitted this six-factor model relatively well. In addition, it was demonstrated that computer literacy has a strong directional influence on both physical arousal and affects. Beliefs about computers, in turn, were shown to be dependent on affects and physical arousal. Self-efficacy mainly contributed to increased computer literacy. These findings suggest that training programs that enhance self-efficacy and computer literacy may in principle reduce computer anxiety.