Web Survey Bibliography
Title The Seven E-learning Barriers Facing Employees
Author Mungania, P.
Source The MASIE Center, University of Louisville
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 (396)
- Weighting methods; 2003; Kalton, G., Flores Cervantes, I.
- Web-based data collection; 2003; Tourangeau, R.
- Using Web-based surveys to conduct counseling research; 2003; Granello, D. H., Weathon, J. E.
- 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. et al.
- Respondent-generated intervals: Do they help in collecting quantitative data?; 2003; Lusinchi, D.
- Report of the results of the Asthma awareness survey; 2003
- Presidential approval. You're only as good as your rating scale; 2003; Thomas, R. K. et al.
- On the importance of importance: An examination of weighting evaluation ratings with importance ratings...; 2003; Thomas, R. K. et al.
- 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. et al.
- Determining the probability of selection for a telephone household in a random digit dial sample design...; 2003; Triplett, T. A., Abi-Habib, N.
- Documenting comparative surveys for secondary analysis; 2003; Mohler, P., Uher, R.
- Proceedings of the American Association for Public Opinion Research annual conference.; 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.
- Kognitive Prozesse und Antwortverhalten in einer Internet-Befragung; 2003; Fuchs, M.
- 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.
- The Influence of Visual Layout on Scalar Questions in Web Surveys; 2003; Christian, L. M.
- Web Survey Mailer System; 2003; Barrios, E.
- Prepaid and promised incentives in Web surveys - An experiment; 2003; Bosnjak, M., Tuten, T. L.
- 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.
- Data editing by respondents and data suppliers; 2003; Weir, P.
- The Seven E-learning Barriers Facing Employees; 2003; Mungania, P.
- Experiences in e-survey development for IS research: Lessons from the use of automated control tools; 2003; Scornavacca, E., Becker, J.L., Barnes, S. J.
- Survey Response Behavior Shirking in Internet and Telephone Surveys; 2003; VanBeselaere, C.
- Using Internet-based Surveys to Reach Hidden Populations: Case of Nonabusive Illicit Drug Users; 2003; Duncan, D., White, J., Nicholson, T.
- Design Issues in Web-Based Electronic Business Surveys; 2003; Nichols, E. M., Murphy, E. D., Norman K. L., Rivadeneira, A., Eaton, C.
- Changes to Editing Strategies when Establishment Survey Data Collection Moves to the Web; 2003; Anderson, A. E., Cohen, S. H., Murphy, E. D.., Nichols, E. M., Sigman, R. S., Willimack, D. K.
- Synthesis of Results from the Response Mode and Incentive Experiment; 2003; Casper, R., Shaw, K. A.
- A Test of a Bimodal Survey Model on the Cooperative Communicators Association: A case Study; 2003; Brashears, T., Bullock, S., Akers, C.
- The Infusion of Internet-Based Surveys and Postal Mail Surveys; 2003; McGlothlin, J. M.
- The design of Web surveys: Interactive and visual features of Web questionnaires; 2003; Tourangeau, R., Couper, M. P., Conrad, F. G.
- Web/Online Surveys; 2003; Burke, A.
- Data Editing By Reporting Enterprises; 2003; Anonymous
- Initiative and Clarification in Web-Based Surveys; 2003; Schober, M. F., Conrad, F. G., Ehlen, P., Lind, L. H., Coiner, T.
- Using Fine-Grained Likert Scales in Web Surveys; 2003; Mathieson, K., Doane, D. P.
- Was based questioning procedure; 2003; Batinic, B.
- Online-Erhebungen in den Sozialwissenschaften; 2003; Reips, U. -D.
- Psychologische Forschung zum und im Internet; 2003; Reips, U. -D.