ABSTRACT
As human-computer interaction increasingly focuses on mediated interactions among groups of individuals, there is a need to develop techniques for measurement and analysis of groups that have been scoped at the level of the group. Bandura's construct of perceived self-efficacy has been used to understand individual behavior as a function of domain-specific beliefs about personal capacities. The construct of collective efficacy extends self-efficacy to organizations and groups, referring to beliefs about collective capacities in specific domains. We describe the development and refinement of a collective efficacy scale, the factor analysis of the construct, and its external validation in path models of community-oriented attitudes, beliefs, and behaviors.
- Bandura, A. (1997). Self-efficacy: The exercise of control. NY: W.H. Freeman and Company.Google Scholar
- Bandura, A. (2005). Guide for creating self-efficacy scales. In F. Pajares & T. Urdan (Eds.), Self-efficacy beliefs of adolescents. Greenwich, CT: Information Age Publishing.Google Scholar
- Bellah, R., Madsen, R., Sullivan, W., Swindler, A. & Tipton, S. (1986). Habits of the heart: Individualism and commitment in American life. U. California Press.Google Scholar
- Bendig, A.W. (1962). The Pittsburgh scales of social extroversion, introversion and emotionality. The Journal of Psychology, 53, 199--209.Google ScholarCross Ref
- Carroll, J.M. & Reese, D.D. (2003). Community collective efficacy: Structure and consequences of perceived capacities in the Blacksburg Electronic Village. Proceedings of HICSS-36. New York: IEEE.Google ScholarCross Ref
- Carroll, J.M. & Rosson, M.B. (1996). Developing the Blacksburg Electronic Village. CACM, 39(12), 69--74. Google ScholarDigital Library
- Carroll, J.M., Rosson, M.B., Kavanaugh, A., Dunlap, D.R., Schafer, W., Snook, J. & Isenhour, P. (2005). Social and civic participation in a community network. In R. Kraut, M. Brynin & S. Kiesler (Eds.) Domesticating information technologies. New York: Oxford University Press.Google Scholar
- Cohill, A. and Kavanaugh, A., Eds. (2000). Community Networks: Lessons from Blacksburg, Virginia. Norwood, MA: Artech House. Google ScholarDigital Library
- Ghinea, G. & Chen, S.Y. (2003). The impact of cognitive styles on perceptual distributed multimedia quality. British Journal of Educational Technology, 34, 393--406.Google ScholarCross Ref
- Goddard, R.D., Hoy, W.K. & Hoy, A.W. (2004). Collective efficacy beliefs: Theoretical developments, empirical evidence, and future directions. Educational Researcher, 33(3), 3--13.Google ScholarCross Ref
- Karsvall, A. (2002). Personality preferences in graphical interface design. Proceedings of NordiCHI (October 19-23), New York: ACM, pp. 217--218. Google ScholarDigital Library
- Kavanaugh, A., Reese, D.D., Carroll, J.M., & Rosson, M.B. (2003). Weak Ties in Networked Communities. In M. Huysman, E. Wenger & V. Wulf (Eds.) Communities and Technologies. The Netherlands: Kluwer Academic Publishers, pp. 265--86. Google ScholarDigital Library
- Kavanaugh, A., Carroll, J.M., Rosson, M.B., Reese, D.D. & Zin, T.T. (2005). Participating in civil society: The case of networked communities. Interacting with Computers, 17, 9--33. Google ScholarDigital Library
- Kavanaugh, A. & Patterson, S. (2001). The impact of community computer networking on community involvement and social capital. American Behavioral Scientist 45, 496--509.Google ScholarCross Ref
- Kraut, R., Scherlis, W., Mukhopadhyay, T., Manning, J. & Kiesler, S. (1996). The HomeNet field trial of residential Internet services. CACM, 39, 55--63. Google ScholarDigital Library
- Neale, D.C., Carroll, J.M., & Rosson, M.B. (2004). Evaluating computer-supported cooperative work: Models and frameworks. Proceedings of CSCW (Chicago, Nov. 8-10), New York: ACM, pp. 368--377. Google ScholarDigital Library
- Pedhazur, E.J. (1997). Multiple Regression in Behavioral Research. New York: Harcourt Brace.Google Scholar
- Putnam, R.D. (2000). Bowling alone: The collapse and revival of American community. New York: Simon & Shuster.Google Scholar
- Ramalingam V. & Wiedenbeck S. (1998). Development and validation of scores on a computer programming self-efficacy scale and group analyses of novice programmer self-efficacy. Journal of Educational Computing Research, 19(4), 365--379.Google ScholarCross Ref
Index Terms
- Collective efficacy as a measure of community
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