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Explicating Computer Self-Efficacy Relationships: Generality and the Overstated Case of Specificity Matching

Explicating Computer Self-Efficacy Relationships: Generality and the Overstated Case of Specificity Matching

James P. Downey Jr., R. Kelly Rainer, Summer E. Bartczak
Copyright: © 2008 |Volume: 20 |Issue: 3 |Pages: 19
ISSN: 1546-2234|EISSN: 1546-5012|ISSN: 1546-2234|EISBN13: 9781615200795|EISSN: 1546-5012|DOI: 10.4018/joeuc.2008070102
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MLA

Downey Jr., James P., et al. "Explicating Computer Self-Efficacy Relationships: Generality and the Overstated Case of Specificity Matching." JOEUC vol.20, no.3 2008: pp.22-40. http://doi.org/10.4018/joeuc.2008070102

APA

Downey Jr., J. P., Rainer, R. K., & Bartczak, S. E. (2008). Explicating Computer Self-Efficacy Relationships: Generality and the Overstated Case of Specificity Matching. Journal of Organizational and End User Computing (JOEUC), 20(3), 22-40. http://doi.org/10.4018/joeuc.2008070102

Chicago

Downey Jr., James P., R. Kelly Rainer, and Summer E. Bartczak. "Explicating Computer Self-Efficacy Relationships: Generality and the Overstated Case of Specificity Matching," Journal of Organizational and End User Computing (JOEUC) 20, no.3: 22-40. http://doi.org/10.4018/joeuc.2008070102

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Abstract

Computer self-efficacy is known to operate at multiple levels, from application-specific subdomains like spreadsheets to a judgment of ability for the entire computing domain (general computer self-efficacy, GCSE). Conventional wisdom and many recent studies contend that the level of self-efficacy (specific to general) should match the level of its related constructs to maximize predictive power (Bandura, 1997; Chen, Gully, & Eden, 2001; Pajares, 1996). This thinking claims, for example, that GCSE should be used with a general attitude like computer anxiety (and vice versa). This study examines whether such a limitation is theoretically and empirically sound given that SE judgments generalize across domains.

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