Web Survey Bibliography
Title The Seven E-learning Barriers Facing Employees
Author Mungania, P.
Source The MASIE Center, University of Louisville
Year 2003
Access date 23.02.2006
Full text pdf (487k)
Abstract As investment in human, time, and financial resources for e-learning continues to rise, so should the interest in its effectiveness, quality, barriers faced, and best practices. The purpose of this empirical study was to determine barriers experienced by employee e-learners. Further, this study explored the nature of relationships among (1) e-learning barriers; (2) employee demographics (age, gender, ethnicity, marital status, organization type, and education); and (3) background factors such as experience with e-learning and computers, job position, computer ownership, computer training, and elearning self-efficacy. An anonymous validated Web-based survey was used to collect data, showing the viability of Web-based surveys as a tool for promoting e-learning and organizational research. The Barriers in E-learning and Self-Efficacy (BELSE) survey was used to collect self-reported data, administered to a convenient sample of employee volunteers. The instrument was comprised of (1) demographic questions; (2) the Barriers in Elearning (BEL) scale, developed for the purpose of determining e-learning barriers; and (3) E-learning Self-Efficacy (ELSE) scale, to measure Internet and computer selfefficacy. This exploratory study used quantitative methods for data collection and analysis and some open-ended questions. Data were analyzed through descriptive and inferential statistics. The participants were employees in seven organizations in the United States and abroad. These organizations represent manufacturing, oil exploration & manufacturing, IT consulting, wholesale distribution, public school district, and a military division. A total of 875 employees who had taken e-learning courses delivered 100 percent online by their employers for the past two years participated voluntarily. Their ability to participate in e-learning and in this study from remote locations, from the Pacific Ocean to the Algerian desert, clearly demonstrates the ubiquity of e-learning. The demographic makeup and background characteristics of the respondents were explored to better understand the e-learning population. The figure below highlights the employees’ characteristics.
Access/Direct link Center homepage
Year of publication2003
Bibliographic typeReports, seminars
Web survey bibliography - 2003 (90)
- 3-D Finite-Element Models of Human and Monkey Fingertips to Investigate the Mechanics of Tactile Sense...; 2003; Dandekar, K., Raju, B. I., Srinivasan, M. A.
- Methodological guidelines for Blaise web surveys ; 2003; Bethlehem, J., Hoogendoorn, A.
- Avoiding pitfalls in Web-based research; 2003; Beaulaurier, B.
- The Discursive Field of Web-Based Health Research Implications for Nursing Research in Cyberspace; 2003; Cotton, A. H.
- Telephone versus face-to-face interviewing of national probability samples with long questionnaires:...; 2003; Holbrook, A. L.; C., Green, M. C., Krosnick, J. A.
- Electronic Voting Machines – A comparison applying the principles of computer-human interaction...; 2003; Callegaro, M., Peytcheva, E.
- Web-based data collection; 2003; Tourangeau, R.
- The science of asking questions; 2003; Schaeffer, N. C., Presser, S.
- The democratization of research; 2003; MacElroy, B.
- Response order effects – how do people read?; 2003; Duffy, B.
- Response latency methodology for survey research: Measurement and modeling strategies; 2003; Mulligan, K., T., Mockabee, S. T., Grant, J. T., Monson, J. Q.
- Respondent-generated intervals: Do they help in collecting quantitative data?; 2003; Lusinchi, D.
- Report of the results of the Asthma awareness survey; 2003
- Maximum difference scaling: Improved measures of importance and preference for segmentation; 2003; Cohen, S. H.
- Introduction to survey quality; 2003; Biemer, P. P., Lyberg, L. E.
- Evaluation of the minimal important difference for the feeling thermometer and the St. George's...; 2003; Schunemann, H. J., Griffith, L., Jaeschke, R., Goldstein, R., Stubbing, D., Guyatt, G. H.
- Documenting comparative surveys for secondary analysis; 2003; Mohler, P., Uher, R.
- Determining the Probability of Selection for a Telephone Household in a Random Digit Dial Sample Design...; 2003; Triplett, T. A., Abi-Habib, N.
- Cognitive Aspects of Survey Measurement and Mismeasurement; 2003; Tourangeau, R.
- Effect of Alternative Data Collection Modes on Cooperation Rates and Data Quality; 2003; Brady, S. E., Stapleton, C. N., Bouffard, J. A., Imel, J. D.
- Collecting behavioural data using the world wide web: considerations for researchers; 2003; Rhodes, S. D., Bowie, D. A., Hergenrather, K. C.
- Repairing Tom Swift’s Electric Factor Analysis Machine; 2003; Preacher, K. J., MacCallum, R. C.
- ImageJ; 2003; Rasband, W.
- Make Way for Web Surveys; 2003; Bankston, K.
- Comparison of E-mail, Fax, and Postal Surveys of Pediatricians; 2003; McMahon, S. R., Iwamoto, M., Massoudi, M. S., Yusuf, H. R., Stevenson, J. M., David, F., Chu, S. Y.,...
- Towards Standardisation of Survey Outcome Categories and Response Rate Calculations; 2003; Lynn, P., Beerten, R., Laiho, J., Martin, J.
- Web Survey Mailer System; 2003; Barrios, E.
- Conducting On-line Surveys in Software Engineering; 2003; Punter, T., Ciolkowski, M., Freimut, B., John, I.
- A pilot study of a computer-assisted cell-phone interview (CACI) methodology to survey respondents in...; 2003; Wilkins, C., Casswell, S., Barnes, H. M., Pledger, M.
- Internet Marketing Research: Recources and Techniques; 2003; Forrest, E.
- Experiences in e-survey development for IS research: Lessons from the use of automated control tools; 2003; Scornavacca Jr., E., Becker, J. L., Barnes, S.
- Ten years after; 2003; Bradford, D. P.
- Are you talking to the right people?; 2003; Davis, H.
- Be prepared; 2003; Fitzgerald, A.
- Watch out for dropouts; 2003; Hogg, A., Miller, J.
- Persuasive e-mail invitations; 2003; MacElroy, B.
- Online sample -- can you trust it?; 2003; Maginnis, C.
- Best practices for online research; 2003; Smith, L.
- WebSurveyor and Surveywriter; 2003; Macer, T.
- Internet surveys: limits and beyond limits; 2003; Mititelu, C.
- Conducting Research on the Internet: Online Survey Design, Development and Implementation Guidelines; 2003; Andrews, D., Nonnecke, B., Preece, J.
- Understanding the effects of audio-CASI on self-reports of sensitive behavior; 2003; Couper, M. P., Singer, E., Tourangeau, R.
- Internet-based intervention to promote organ donor registry participation and family notification; 2003; Merion, R. M., Vinokur, A. D., Couper, M. P.
- Going mobile. The future of mobile data collection software, hardware, and research methodology; 2003; Cameron, M. R., Weisberg, J. R.
- Impact of messages on concomitant use of nicotine replacement therapy and cigarettes: a randomized trial...; 2003; le Houezec, J., Landfeldt, B., Etter, J.-F.
- The feasibility of computer-assisted survey interviewing in Africa: Experience from two rural districts...; 2003; Hewett, P. C., Erulkar, A. S., Mensch, B. S.
- Broadening Public Access to Data through the Development of Tools for Data Novices; 2003; Card, J. J., Shapiro, L., Amarillas, A., McKean, E., Kuhn, T.
- Massive Questionnaires for Personality Capture; 2003; Bainbridge, W. S.
- Around the World Wide Web in 80 Ways: How Motives for Going Online are Linked to Internet Activities...; 2003; Johnson, T. J., Kaye, B. K.
- Comparing On-Line and On-Paper Responses to an Employee Satisfaction Survey; 2003; Stone, G. E.