Skip to main content

Advertisement

Log in

Assessing Between-School Variation in Educational Resources and Mathematics and Science Achievement in Bulgaria

  • School quality and equity in central and eastern Europe
  • Published:
PROSPECTS Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  • Cohen J., Cohen P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences. 2nd ed. Hillsdale, NJ, Erlbaum

    Google Scholar 

  • Darling-Hammond, L. 2000. Teacher quality and student achievement: a review of state policy evidence. Education policy analysis archives, vol. 8, no. 1. <olam.ed.asu.edu/epaa/v8n1/>

  • Hamilton L. et al. (2003). Studying large-scale reforms of instructional practice: an example from mathematics and science. Educational evaluation and policy analysis 25(1):1–29

    Google Scholar 

  • Huppert, V. et al. 2002. Report on education in Bulgaria. Paris: OECD

  • Husén, T. 1967. International study of achievement in mathematics, vol. 2. New York: Wiley.

  • Loucks-Horsley S. et al. (1998). Designing professional development for teachers of science and mathematics. Thousand Oaks, CA, Corwin Press

    Google Scholar 

  • Ma L. (1999). Knowing and teaching elementary mathematics: teachers’ understanding of fundamental mathematics in China and the United States. Mahwah, NJ, Erlbaum

    Google Scholar 

  • McDonnell L.M. (1995). Opportunity to learn as a research concept and policy instrument. Educational evaluation and policy analysis 17(3):305–322

    Article  Google Scholar 

  • Martin M.O., Mullis I.V.S., Chrostowski S.J. (2003). TIMSS 2003 technical report. Boston College, Chestnut Hill, MA

    Google Scholar 

  • Martin M.O. et al. (2004). TIMSS 2003 international science report: findings from IEA’s trends in international mathematics and science study at the fourth and eighth grades. Boston College, Chestnut Hill, MA

    Google Scholar 

  • Marushiakova, O.; Popov, V. 1999. Study of the education situation of ethnic minorities in Bulgaria. Sofia. [Mimeo].

  • Micklewright J. (1999). Education, inequality and transition. Economics of transition 7(2):343–376

    Article  Google Scholar 

  • Murnane R.J., Phillips B.R. (1981). Learning by doing, vintage, and selection: three pieces of the puzzle relating teaching experience and teaching performance. Economics of education review 1:691–693

    Google Scholar 

  • Organisation for Economic Co-operation and Development. (2004). Reviews of national policies for education in Bulgaria. Paris, OECD

    Google Scholar 

  • Porter, A. 1993. Brief to policymakers: opportunity to learn. Madison, WI: Center on Organization and Restructuring of Schools. Retrieved 6 September 2005, from <www.wcer.wisc.edu/archive/cors/brief_to_principals/BRIEF_NO_7_FALL_1993.pdf>

  • Raudenbush S.W., Bryk A.S. (2002). Hierarchical linear models, 2nd ed. Thousand Oaks, CA, Sage

    Google Scholar 

  • Rivkin, S.G.; Hanushek, E.A.; Kain, J.F. 1998. Teachers, schools and academic achievement. Cambridge, MA: National Bureau of Economic Research. (Working paper, 6691)

  • Savova J. (1996). The Bulgarian experience of reform. European journal of education 31(1)85–96

    Google Scholar 

  • United States. Department of Education. 2001. Monitoring school quality: an indicators report. Washington, DC: U.S. Government Printing Office. (NCES 2001–30)

  • Von Secker C. (2002). Effects of inquiry-based teacher practices on science excellence and equity. Journal of educational research 95(3):151–160

    Article  Google Scholar 

  • Von Secker C., Lissitz R. (1999). Estimating the impact of instructional practices on student achievement in science. Journal of research in science teaching 36(10):1110–1126

    Article  Google Scholar 

  • Weaver, G. 1998. Strategies in K-12 science instruction to promote conceptual change. Science education (New York, NY), vol. 18, no. 4, pp. 455–472.

  • Willms J.D., Smith T.M. (2005). A manual for conducting analyses with data from TIMSS and PISA. Montreal, UNESCO Institute for Statistics

    Google Scholar 

  • Willms J.D. (2002). Raising and leveling the learning bar: a background report for the HRDC Skills and Learning Task Force. Ottawa, Human Resource Development Canada

    Google Scholar 

  • World Bank. 2001. Implementation completion report for an education modernization project. Retrieved 10 August 2006: <www.worldbank.bg/WBSITE/EXTERNAL/COUNTRIES/ECAEXT/BULGARIAEXTN/0,,contentMDK:20027252∼menuPK:305480∼pagePK:28 65066∼piPK:2865079∼theSitePK:305439,00.html>

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thomas M. Smith.

Additional information

Original language: English

Kiril Bankov (Bulgaria)

Professor of Mathematics and Mathematics Education at the Faculty of Mathematics and Informatics, University of Sofia. National Research Coordinator (NRC) of TIMSS 1995, TIMSS 1999, and TIMSS 2003. He is also a member of the international mathematics item review committee for TIMSS and the international expert panels for the International Association for the Evaluation of Educational Achievement (IEA) studies TIMSS and TEDS. His research interests include educational measurement and evaluation (focusing on student achievement on mathematics), mathematics teacher education and development. E-mail: kbankov@fmi.uni-sofia.bg

Dilyana Mikova (Bulgaria)

Master of Science in Educational and Training Systems Design. She is a head of HRD and PR Unit at the Managing Authority of the “OPRD”, Ministry of Regional Development and Public Works. Member of the Bulgarian Association for Educational Measurement and Evaluation. Her expertize includes curriculum design and implementation. She also has experience in school management and instructional design. She was a part of project team as a consultant in the field of school management and school survey in Azerbaijan. She was a member of the international Quality Control Monitoring team for the IEA International Study “PIRLS” 2006. E-mail: dmikova@gmail.com

Thomas M. Smith (United States of America)

Assistant Professor of Public Policy and Education in the Department of Leadership, Policy, and Organizations, Vanderbilt University. His current research focuses on the organization of teaching quality, exploring relationships between educational policy, school organization, teacher commitment, and the quality of classroom instruction. Between 1991 and 2001, he conducted and managed statistical research activities at the U.S. Department of Education’s National Center for Education Statistics (NCES), the Organisation for Economic Co-operation and Development (OECD), and the National Science Foundation (NSF). E-mail: thomas.smith@vanderbilt.edu

About this article

Cite this article

Bankov, K., Mikova, D. & Smith, T.M. Assessing Between-School Variation in Educational Resources and Mathematics and Science Achievement in Bulgaria. Prospects 36, 447–473 (2006). https://doi.org/10.1007/s11125-006-9005-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11125-006-9005-7

Keywords

Navigation