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.
Computers in Human Behavior – Elsevier
Published: Jan 1, 2001
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera