A multilevel factor analysis of students' evaluations of teaching

Educational and Psychological Measurement

Volumn 65, Issue 2, 2005, Pages 272-296

  Toland, Michael D ^a   De Ayala, R J ^a  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Factor analysis; Multilevel; Teaching effectiveness; Validity

Indexed keywords

EID: 17044389800     PISSN: 00131644     EISSN: None     Source Type: Journal    
DOI: 10.1177/0013164404268667     Document Type: Article

References (31)

1. Abrami, P. C., d'Apollonia, S., & Rosenfield, S. (1996). The dimensionality of student ratings of instruction: What we know and what we do not. In J. C. Smart (Ed.), Higher education: Handbook of theory and research (Vol. 11, pp. 213-264). New York: Agathon.
2. Burdsal, C. A., & Bardo, J. W. (1986). Measuring students' perceptions of teaching: Dimensions of evaluation. Educational and Psychological Measurement, 56, 63-79.
3. d'Apollonia, S., & Abrami, P. C. (1997). Navigating student ratings of instruction. American Psychologist, 52, 1198-1208.
4. Feldman, K. A. (1976). The superior college teacher from the student's view. Research in Higher Education, 5, 243-288.
5. Fincher, C. (1985). Learning theory and research. In J. C. Smart (Ed.), Higher education: Handbook of theory and research (Vol. 1, pp. 63-96). New York: Agathon.
6. Heck, R. (2001). Multilevel modeling with SEM. In G. Marcoulides & R. Schumacher (Eds.), New developments and techniques in structural equation modeling (pp. 89-127). Mahwah, NJ: Lawrence Erlbaum.
7. Hox, J. J. (2003). Multilevel analysis: Techniques and applications. Mahwah, NJ: Lawrence Erlbaum.
8. Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
9. Jackson, D. L., Teal, C. R., Raines, S. J., Nansel, T. R., Force, R. C., & Burdsal, C. A. (1999). The dimensions of students' perceptions of teaching effectiveness. Educational and Psychological Measurement, 59, 580-596.
10. Kaplan, D., & Elliott, P. R. ( 1997). A didactic example of multilevel structural equation modeling applicable to the study of organizations. Structural Equation Modeling, 4, 1-23.
11. Kindsvatter, R., Wilen, W., & Ishler, M. (1988). Dynamics of effective teaching. White Plains, NY: Longman.
12. Kline, R. B. (1998). Principles and practice of structural equation modeling. New York: Guilford.
13. Marsh, H. W. (1977). The validity of students' evaluations: Classroom evaluations of instructors independently nominated as best and worst teachers by graduating seniors. American Educational Research Journal, 14, 441-447.
14. Marsh, H. W. (1983). Multidimensional ratings of teaching effectiveness by students from different academic settings and their relation to student/course/instructor characteristics. Journal of Educational Psychology, 75, 150-166.
15. Marsh, H. W. (1987). Students' evaluations of university teaching: Research findings, methodological issues and directions for future research. International Journal of Educational Research, 11, 253-388.
16. Marsh, H. W. (1991). Multidimensional students' evaluations of teaching effectiveness: A test of alternative higher-order structures. Journal of Educational Psychology, 83, 285-296.
17. Marsh, H. W., & Dunkin, M. J. (1992). Students' evaluations of university teaching: A multidimensional perspective. In J. C. Smart (Ed.), Higher education: Handbook of theory and research (Vol. 8, pp. 143-233). New York: Agathon.
18. Marsh, H. W., Fleiner, H., & Thomas, C. S. (1975). Validity and usefulness of student evaluations of instructional quality. Journal of Educational Psychology, 67, 833-839.
19. Marsh, H. W., & Hattie, J. (2002). The relation between research productivity and teaching effectiveness. Journal of Higher Education, 73, 603-641.
20. Marsh, H. W., & Hocevar, D. (1984). The factorial invariance of student evaluations of college teaching. American Educational Research Journal, 21, 341-366.
21. Marsh, H. W., & Hocevar, D. (1991). The multidimensionality of students' evaluations of teaching effectiveness: The generality of factor structures across academic discipline, instructor level, and course level. Teaching and Teacher Education, 7, 9-18.
22. Mueller, R. O. (1997). Structural equation modeling: Back to basics. Structural Equation Modeling, 4, 353-369.
23. Muthén, B. O. (1991). Multilevel factor analysis of class and student achievement components. Journal of Educational Measurement, 28, 338-354.
24. Muthén, B. O. (1994). Multilevel covariance structure analysis. Sociological Methods & Research, 22, 376-398.
25. Muthén, B. O. (2003, January 22). Mplus discussion: Multilevel data/complex sample: Multilevel factor analysis. Message posted to http://www.statmodel.com/discussion/messages/12/101.html?1043216963
26. Muthén, L. K., & Muthén, B. O. (1998). Mplus user's guide. Los Angeles: Authors.
27. Muthén, L. K., & Muthén, B. O. (2001). Mplus for Windows (Version 2.01) [Computer software]. Los Angeles: Authors.
28. Satorra, A., & Bentler, P. M. (1994). Corrections to test statistics and standard errors in covariance structure analysis. In A. von Eye & C. C. Clogg (Eds.), Latent variable analysis: Applications for developmental research (pp. 399-419). Thousand Oaks, CA: Sage.
29. Ting, K. F. (2000). A multilevel perspective on student ratings of instruction: Lessons from the Chinese experience. Research in Higher Education, 41, 637-661.
30. Winer, B. J. (1971). Statistical principles in experimental design. New York: McGraw-Hill.
31. Young, S., & Shaw, D. G. (1999). Profiles of effective college and university teachers. The Journal of Higher Education, 70, 670-686.