Grade Level of Achievement Data: Key Indicators for School-Based Decision-Makers

  • John Burger
  • Anna Nadirova
Part of the Studies in Educational Leadership book series (SIEL, volume 15)


The Alberta Department of Education (Alberta Education) piloted a more comprehensive approach to program evaluation by expanding the range of achievement data beyond external tests that typically inform system results data needs. Grade Level of Achievement (GLA) data reported to Alberta Education is a teacher’s judgment of academic progress for students in Grades 1–9. GLA is based on the learner outcomes in a subject area after a course for a specific grade level has been completed and reflects the results from the full range of teacher-developed classroom assessments over the entire school year. Triangulation of large-scale external provincial achievement test (PAT) data with teacher-generated classroom-based assessment grounded in clear curriculum standards provides opportunities to create more complete and informative models of student achievement. This chapter examines PAT and GLA data at the provincial level as a means to explore what we can discover when achievement data are considered in a more holistic and balanced context, and reflects on the implications for parallel analysis at the jurisdiction, school, and classroom levels.


Grade Level Student Achievement Summative Assessment Mobility Student Achievement Data 
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  1. Alberta Education. (2005). Beyond MIRS data technical report. Edmonton, AB: Author.Google Scholar
  2. Alberta Education. (2006). Grade level of achievement reporting: Teacher and administrator handbook. Edmonton, AB: Author. Available at
  3. Alberta Education. (2007). Grade level of achievement 2005–06 pilot data – Technical report. Edmonton, AB: Author. Available at
  4. Alberta Education. (2008a). Grade level of achievement 2006–07 pilot data. Edmonton, Canada: Author. Available at
  5. Alberta Education. (2008b). Guide to education: ESC to grade 12. Edmonton, AB: Author. Available at
  6. Alberta Education. (2009). How the accountability pillar works. Available at
  7. Alberta Learning. (2001). Entry age, age within cohort, and achievement. Edmonton, AB: Author.Google Scholar
  8. Alberta Learning. (2002). Beyond MIRS: New directions for program evaluation. Edmonton, AB: Author.Google Scholar
  9. Alberta Learning. (2004). Standards for special education. Edmonton, AB: Author.Google Scholar
  10. Assessment Reform Group. (2006). The role of teachers in the assessment of learning. London: Author. Available at
  11. Bloom, B. S. (1980). The new direction in education research: Alterable variables. Phi Delta Kappan, 61(6), 382–385.Google Scholar
  12. Burger, J., & Krueger, M. (2003). A balanced approach to high-stakes achievement testing: An analysis of the literature with policy implications. International Electronic Journal for Leadership in Learning, 7(4). Available at
  13. Collaborative for Academic, Social, and Emotional Learning (CASEL). (2003, March). Safe and sound: An educational leader’s guide to evidence-based social and emotional learning (SEL) programs. Chicago: Author. Available:
  14. Earl, L., & Katz, S. (2002). Leading schools in a data-rich world. In K. Leithwood & P. Hallinger (Eds.), Second international handbook of educational leadership and administration (pp. 1003–1022). Dordrecht, the Netherlands: Kluwer Academic Publishers.CrossRefGoogle Scholar
  15. Green, S. B., & Salkind, N. J. (2003). Using SPSS for windows and macintosh: Analysing and understanding data (3rd ed.). Upper Saddle River, NJ: Prentice Hall.Google Scholar
  16. Harris, M. B. (1998). Basic statistics for behavioral science research (2nd ed.). Boston: Allyn & Bacon.Google Scholar
  17. Lauzon, D. (2001, November). Gender differences in large-scale, quantitative assessments in mathematics and science achievement. Paper presented at the Statistics Canada – John Deutsch Institute – Western Research Network on Education and Training (WRNET) Conference on Empirical Issues in Canadian Education, Ottawa, ON.Google Scholar
  18. Louis, K. S., Febey, K., & Schroeder, R. (2005). State-mandated accountability in high schools: Teachers’ interpretations of a new era. Educational Evaluation and Policy Analysis, 27(4), 177–204.CrossRefGoogle Scholar
  19. Nadirova, A., Burger, J., Clarke, R., & Mykula, C. (2008). Measuring students’ orientation to school to improve high school completion. CASS Connection: The Official Magazine for the College of Alberta School Superintendents, Spring 2008, 30–33.Google Scholar
  20. Pope, G. A., Wentzel, C., & Cammaert, R. (2003). Relationships between gender and Alberta diploma scores. Alberta Journal of Educational Research, 48(4), 275–286.Google Scholar
  21. Reeves, D. B. (2004). Accountability for learning: How teachers and school leaders can take charge. Alexandria, VA: Association for Supervision and Curriculum Development.Google Scholar
  22. Stiggins, R. J. (2001). Student involved classroom assessment (3rd ed.). Columbus, OH: Merrill Prentice Hall.Google Scholar
  23. Wasserman, D. (2001). Moving targets: Student mobility and school and student achievement. Edmonton, AB: Alberta Learning.Google Scholar
  24. Webber, C., Aitkin, N., Lupart, J., & Scott, S. (2009). The Alberta student assessment study: Final report. Edmonton, AB: Alberta Education.Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.Rocky View SchoolsAirurieCanada
  2. 2.People and Research DivisionAlberta EducationEdmontonCanada

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