Pitfalls and potential of secondary data analysis of the Council of Ministers of Education, Canada, National assessment

Canadian Journal of Education

Volumn 29, Issue 3, 2006, Pages 757-770

  Rogers, W Todd ^a   Anderson, John O ^a   Klinger, Don A ^a   Dawber, Teresa ^a  

^a NONE

Author keywords

Large scale testing; Missing data; Policy analysis

Indexed keywords

EID: 33847310377     PISSN: 03802361     EISSN: None     Source Type: Journal    
DOI: 10.2307/20054194     Document Type: Article

References (19)

1. Abelson, R. P. (1995). Statistics as principled argument. Hillsdale, NJ: Lawrence Erlbaum Associates.
2. Anderson, J. O., Rogers, W. T., Klinger, D. A., Ungerlieder, C., Glickman, V., & Anderson, B. (2006). Student and School Correlates of Mathematics Achievement: Models of School Performance Based on Pan-Canadian Student Assessment. Canadian Journal of Education, 29(3), 706-730.
3. Asher, H. B. (1976). Causal modeling. University Paper series on Quantitative Applications in the Social Sciences, 07-003. Beverly Hills & London, UK: Sage Publications.
4. Burkhardt, H., & Schoenfeld, A. H. (2003). Improving educational research: Toward a more useful, more influential, and better-funded enterprise. Educational Researcher, 32(9), 3-14.
5. Byrne, B. M. (1994). Structural equation modeling with EQS and EQS/Windows: Basic concepts, applications, and programming. Thousand Oaks, CA: Sage Publications.
6. Cook, T. D., & Campbell, D. T. (1979). Quasi-experimentation: Design & analysis issues for field settings. Chicago, IL: Rand McNally.
7. Council of Ministers of Education, Canada. (2002a). School achievement indicators program (SAIP), Writing III Assessment, Handbook for Schools. Toronto: Author.
8. Council of Ministers of Education, Canada. (2002b). School achievement indicators program (SAIP), Writing III Assessment, 2002, Technical Report. Toronto: Author.
9. Johnson, B. (March, 2001). Toward a new classification of nonexperimental research quantitative research. Educational Researcher, 30(2), pp. 3-13.
10. Jöreskog, K. G., & Sörbom, D. (1993). New features in LISREKL 8. Chicago: Scientific Software.
11. Kaiser, H. (1970). A second generation Little Jiffy. Psychometrika, 35, 401-415.
12. Kerlinger, F. N. (1986). Foundations of behavioral research. New York: Holt, Rinehart & Winston.
13. Luke, D. A. (2004). Multilevel modeling. Sage university paper series. Quantitative applications in the social sciences, 07-143. Beverly Hills, CA: Sage Publications.
14. Pascarella, E. T., & Terenzini, P. T. (2005). How college affects students: A third decade of research (2nd ed.). San Francisco: Jossey-Bass.
15. Raudenbush, S. W., & Byrk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Thousand Oaks, CA: Sage Publications.
16. Social Sciences and Humanities Research Council of Canada. (2005). Knowledge council: SSHRCC, 2006-2011. Ottawa: Author.
17. Snijders, T., & Bosker, J. B. (2003). Modeled variance in two-level models. Sociological Methods & Research, 22(3), 342-363.
18. Willinsky, J. (2001). The strategic education research program and the public value of research. Educational Researcher, 30(1), 5-14.
19. Willms, J. D. (1992). Monitoring school performance: A guide for educators. Washington, DC: The Falmer Press.