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Confirmatory factor analysis of the Computer Understanding and Experience Scale
Stefan E Schulenberg1, Amanda M A Melton
1Department of Psychology, University of Mississippi, University, MS 38677, USA. sschulen@olemiss.edu
Psychological Reports
|September 25, 2007
Summary
The Computer Understanding and Experience Scale
Area of Science:
- Psychometrics
- Educational Technology
- Human-Computer Interaction
Background:
- Assessing computer literacy is crucial in higher education.
- Existing scales require validation for specific populations.
- Understanding student computer competence informs pedagogical approaches.
Purpose of the Study:
- To validate the two-factor structure of the Computer Understanding and Experience Scale.
- To assess the reliability of the scale and its subscales.
- To examine computer competence among university undergraduates.
Main Methods:
- Confirmatory factor analysis (CFA) was employed.
- A sample of 293 undergraduates participated.
- Internal consistency was measured using Cronbach's alpha.
Main Results:
- The two-factor structure (Technical Competence, General Competence) was supported.
- The total score demonstrated strong internal consistency (alpha = .82).
- Subscale reliability was good (Technical Competence, alpha = .75; General Competence, alpha = .71).
Conclusions:
- The Computer Understanding and Experience Scale is a reliable instrument for measuring computer competence in this population.
- Future research should focus on diverse samples to enhance generalizability.
- Findings support the scale's utility in educational and psychological research.
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