Web Survey Bibliography
The concept of computer self-efficacy (CSE) recently has been proposed as important to the study of individual behavior toward information technology. This paper extends current understanding about the concept of self-efficacy in the context of computer software. We describe how two broad types of computer self-efficacy beliefs, general self-efficacy and task-specific self-efficacy, are constructed across different computing tasks by suggesting that initial general CSE beliefs will strongly predict subsequent specific CSE beliefs. The theorized causal relationships illustrate the malleability and development of CSE beliefs over time, within a training environment where individuals are progressively provided with greater opportunity for hands-on experience and practice with different software. Consistent with the findings of prior research, judgments of self-efficacy then serve as key antecedents of the perceived cognitive effort (ease of use) associated with technology usage. Further, we theorize that self-efficacy judgments in the task domain of computing are strongly influenced by the extent to which individuals believe that they are personally innovative with respect to information technology. Panel data were collected using a longitudinal research design within a training context where 186 subjects were taught two software packages in a sequential manner over a 14-week period. The emergent patterns of the hypothesized relationships are examined using structural equation modeling techniques. Results largely support the relationships posited.
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Web survey bibliography - 2000 (46)
- Pollsters Inside the Box; 2000; Clark, R.
- The threat of satisficing in surveys: The shortcuts respondents take in answering questions; 2000; Krosnick, J. A.
- Designing Web Usability; 2000; Nielsen, J.
- Comparison of telephone, mail, Web, and IVR surveys of drugs and alcohol use among University of Georgia...; 2000; Bason, J. J.
- The measurement of personal values in survey research: A test of alternative rating procedures; 2000; McCarty, J. A., Shrum, L. J.
- Model of behavioral intention. A two-factor motivational model of behavioral intention; 2000; Thomas, R. K.
- DMS/AOL's Opinion Place expands research services to offer broadest online representation available...; 2000
- Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy—...; 2000; Agarwal, R., Sambamurthy, V., Stair, R.
- Old, new make up today's surveys.; 2000; James, D.
- Software Comes Down to Earth; 2000; Macer, T.
- Using Web questionnaires for judgement and decisoin making research; 2000; Baron, J., Siepmann, M.
- Tell me, what did you see? The stimulus on computers; 2000; Krantz, J. H.
- Computer software and qualitative analysis: trends, issues and resources; 2000; Lee, R. M., Esterhuizen, L.
- Web and Mail Survey: Comparison on a Large-Scale Project; 2000; Kennedy, J. M., Kuh, G. D., Li, J., Hayek, J., Inghram, J., Bannister, N., Segar, K.
- Method and Representation in Internet-Based Survey Tools: Mobility, Community, and Cultural Identity...; 2000; Witte, J. C., Amoroso, L. M., Howard, P. E. N.
- Developing Usability Guidelines for AudioCasi Respondents with Limited Literacy Skills; 2000; J., Schneider, S. J.
- Technology Effects: Do CAPI or PAPI Interviews Take Longer?; 2000; Fuchs, M., Couper, M. P., Hansen, S. E.
- What Users Want From a Tool for Analyzing and Documenting Electronic Questionnaires: The User Requirements...; 2000; Kelly, M.
- Documentation for 2000 Presidential Election Internet Survey; 2000; Alvarez, M. R., Sherman, R.
- Internet Panel Response To The 'State Of The Union' Address: An Experiment; 2000; Frankovic, K. A.
- Current Practices in Intraspinal Therapy - A Survey of Clinical Trends and Decision Making; 2000; Hassenbusch, S. J., Portenoy, R. K.
- Online qualitative research task force: report of findings; 2000; Sweet, C., Walkowski, J.
- International growth of Web survey activity; 2000; MacElroy, B.
- Using online focus groups for e-commerce research; 2000; Johnson, W.
- The future of online research; 2000; James, D.
- Taking It To The Web; 2000; Grant, A. T., Dispensa, G.
- An opposing view of online surveying; 2000; Gorman, J. W.
- You've got surveys; 2000; Lipke, D. J.
- Developing usable Web sites - a review and model; 2000; Cunliffe, D. V.
- Impact of measurement periods on website rankings and traffic estimation: a user-centric approach; 2000; Lee, Su., Leckenby, J. D.
- The power of online research; 2000; Taylor, H.
- Report from Portland. AAPOR conference focuses on Web research; 2000; Totten, J. W.
- Psychological Experiments on the Internet; 2000; Birnbaum, M. H.
- A Brief History of Web Experimenting; 2000; Musch, J., Reips, U.-D.
- Potential of the Internet for Personality Research; 2000; Buchanan, T.
- Using the Internet for survey research: A case study; 2000
- Leverage-saliency theory of survey participation; 2000; Groves, R. M., Singer, E., Corning, A.
- E-interviewers add human touch to Web-based research; 2000; Wygant, S., Feld, K. G.
- Variables influencing dropout rates in Web-based surveys; 2000; MacElroy, B.
- Research non-stop; 2000; Grecco, C.
- Measuring response rates in online surveys; 2000; MacElroy, B.
- Content Analysis of the World Wide Web: Opportunities and Challenges; 2000; Weare, C., -Y., Lin, W.-Y.
- Banner-advertised Web surveys; 2000; Tuten, T. L., Bosnjak, M., Bandilla, W.
- Use of E-Mail And Internet Surveys By Research Companies; 2000; Totten, J. W.
- A Comparison Of Mail, Fax, And Web-Based Survey Methods; 2000; Cobanoglu, C., Warde, B., Moreo, P. J.
- Introduction: Survey and Statistical Computing in the New Millennium; 2000; Banks, R.