Development of an instrument to assess student opinions of the quality of distance education courses

International Journal of Phytoremediation

Volumn 21, Issue 1, 2007, Pages 145-164

  Chaney, Beth Hensleigh ^a   Eddy, James M ^b   Dorman, Steve M ^b   Glessner, Linda ^b   Green, B Lee ^b   Lara Alecio, Rafael ^b  

^a EAST CAROLINA UNIVERSITY   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77954740163     PISSN: 15226514     EISSN: 15497879     Source Type: Journal    
DOI: 10.1080/08923640701341679     Document Type: Article

References (20)

1. Bentler, P. M., 1990. Comparative fit indices in structural models. Psychological Bulletin, 107: 238–246.
2. Chaney, B. H. 2006. History, theory, and quality indicators of distance education: A literature review. http://ohi.tamu.edu/distanceed.pdf
3. Cronbach, L. J., 1984. Essentials of psychological testing, San Francisco: Harper & Row.
4. Dillman, D. A., 2000. Mail and Internet surveys: The tailored design method, New York: Wiley.
5. Flora, D. B., and Curran, P. J., 2004. An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9 (4): 466–491.
6. Gable, R. K., and Wolf, M. B., 1993. Instrument development in the affective domain, Boston: Kluwer.
7. Gomm, R., Needham, G., and Bullman, A., eds. 2000. Evaluating research in health and social care, London: Sage.
8. Heubeck, B. G., and Neill, J. T., 2000. Internal validity and reliability of the 30 item Mental Health Inventory for Australian Adolescents. Psychological Reports, 87: 431–440.
9. McLeroy, K. R., Bibeau, D., Steckler, A., and Glanz, K., 1988. An ecological perspective on health promotion programs. Health Education Quarterly, 15 (4): 351–377.
10. Muthén, L. K., and B. O. Muthén. 2002. Mplus user's guide. http://www.statmodel.com/download/usersguide/Mplus%20Users%20Guide%20v41.pdf
11. Potthast, M. J., 1993. Confirmatory factor analysis of ordered categorical variables with large models. British Journal of Mathematical and Statistical Psychology, 46: 273–286.
12. Saba, F., 2003. “ Distance education theory, methodology, and epistemology: A pragmatic paradigm ”. In Handbook of distance education, Edited by: Moore, M. G., and Anderson, W. G., 3–20. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
13. Scanlan, C. L. 2003. Reliability and validity of a student scale for assessing the quality of Internet-based distance learning. http://www.westga.edu/distance/ojdla/fall63/scanlan63.htm
14. Schafer, J. L. 1999. NORM: Multiple imputation of incomplete multivariate data under a normal model, Ver. 2.03, software for Windows 95/98/NT. http://www.stat.psu.edu/∼jls/misoftwa.html (www.stat.psu.edu/jls/misoftwa.html)
15. Sherry, A. C., 2003. “ Quality and its measurement in distance education ”. In Handbook of distance education, Edited by: Moore, M. G., and Anderson, W. G., 435–459. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
16. Standards for Educational and Psychological Testing. 1999. Washington, DC: American Educational Research Association, American Psychological Association, and National Council on Measurement in Education.
17. Stewart, I., Hong, E., and Strudler, N., 2004. Development and validation of an instrument for student evaluation of the quality of Web-based instruction. The American Journal of Distance Education, 18 (3): 131–150.
18. Thompson, B., 2004. Exploratory and confirmatory factor analysis: Understanding concepts and applications, Washington, DC: American Psychological Association.
19. Tucker, L. R., and Lewis, C., 1973. A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38 (1): 1–10.
20. University of Texas, Austin, Informational Technology Services. 2000. Mplus for Windows: An introduction. http://www.utexas.edu/its/rc/tutorials/stat/mplus