Abstract
The global spread of national assessment testing activities, and the growing pressure to move beyond basic measures of participation in educational monitoring, means that student achievement measures are likely to become increasingly relevant indicators of systemic progress in the developing world. Using data from the CESSP project in Cambodia, this paper incorporates a standard decomposition framework to go beyond simple comparisons of average achievement levels over time in order to better understand the underlying dynamics of change. The results show that recent improvements in student achievement in Cambodia are attributable in part to changes in the composition of student cohorts, although there is some evidence of a tradeoff between increasing participation rates and average achievement. There is also some encouraging evidence that school quality is improving, especially in lower grades where the leveling off of participation is creating a policy window of opportunity. The framework can be easily applied to a growing body of assessment data in the developing world to aid both inter- and intra-national monitoring of education system progress.
Similar content being viewed by others
Notes
There is also the Education for All Development Index (EDI) used to track progress internationally. However, the EDI measure for quality—the survival rate to Grade 5—is more related to participation.
Household survey data from 2005 show that the net enrollment rate in Cambodia for primary schooling (grades 1–6) was roughly 80 percent (UNICEF 2008). Allowing for improvement in recent years as well as overage enrollment (which is declining) it seems likely that the grade three survival rate for all children in the country is above 90 percent. However, as more and more of the poorest children enter formal schooling there are concerns about increases in grade failure and dropout rates. These issues highlight the challenges facing countries like Cambodia in terms of enrolling 100 percent of school-aged children, even in early grades.
These sources mainly refer to previous MoEYS national assessments augmented with testing information obtained through specific projects. The results consistently demonstrated rhos of 0.20–0.30. Based on this previous information the actual rhos of 0.30–0.35 used in the various samples are somewhat conservative, and are likely to overstate the number of schools and students that are needed.
About 15 percent of the tested students do not have the full complement of independent variables included in the analysis. The results from the non-response modeling are available upon request, and show that students with higher test scores were less likely to be missing data. The predicted probability of being included in the analysis is transformed into a probability weight and multiplied by the corresponding probability weight based on population characteristics; these two weights together provide the final student-level weight used in the analysis.
See Oaxaca and Ransom (1994) for more detail about this and other options for decomposing variance.
It does not seem likely that the improvement in achievement is attributable to the assessment system itself. The results from the 2006 grade three survey were not widely circulated, and the items were not released. Also, based on student interviews it does not appear that teachers were much more likely to use questions with multiple choice formats in their classes in 2009 than in 2006. For sampling errors a number of comparisons were made between the samples and populations using EMIS data. Table 4 in Appendix A summarizes these comparisons. The results show minimal differences between the weighted sample averages and overall population characteristics. The standardized difference is based on a metric introduced by LaLonde (1986).
References
Baker, D. P., & LeTendre, G. K. (2005). National differences, global similarities: World culture and the future of schooling. Stanford: Stanford University Press.
Benveniste, L., Marshall, J. H., & Araujo, M. C. (2007). Teaching in Cambodia. Cambodia: World Bank and MoEYS.
Bernard, A. (2008). Evaluation of the processes, impact and future strategies of the Child-Friendly School Programme. Phnom Penh: UNICEF/Cambodia.
Blinder, A. S. (1973). Wage discrimination: reduced form and structural estimates. The Journal of Human Resources, 8, 436–455.
Bray, M., & Seng, B. (2005). Balancing the books: Household financing of basic education in Cambodia. Washington DC: The World Bank, and Hong Kong: Comparative Education Research Centre, The University of Hong Kong.
Cambodia Demographic and Health Survey (CDHS), various years.
Cartwright, F. (2007). IATA 3.0 Item and Test Analysis: a software tutorial and theoretical introduction.
Clayton, T. (1998). Building the new Cambodia: educational destruction and construction under the Khmer Rouge, 1975–1979. History of Education Quarterly, 38(1), 1–16.
Fabelo, T., Thompson, M. D., Plotkin, M., Carmichael, D., Marchbanks, M. P., III, & Booth, E. A. (2011). Breaking schools’ rules: A statewide study of how school discipline relates to students’ success and juvenile justice involvement. New York: Council of State Governments Justice Center.
Filmer, D., & Schady, N. (2008). Getting girls into school: evidence from a scholarship program in Cambodia. Economic Development and Cultural Change, 56, 581–617.
Hill, H., Rowan, B., & Ball, D. L. (2005). Effects of teachers’ mathematical knowledge for teaching on student achievement. American Educational Research Journal, 42, 371–406.
Kamens, D. H., & McNeely, C. L. (2010). Globalization and the growth of international educational testing and national assessment. Comparative Education Review, 54(1), 5–25.
LaLonde, R. (1986). Evaluating the econometric evaluations of training programs with experimental data. American Economic Review, 76, 604–620.
Liberman, J., & Clarke, M. (2011). Review of World Bank support for student assessment activities in client countries. Washington: The World Bank.
Marshall, J. H., Chinna, U., Nessay, P., Ngo Hok, U., Savoeun, V., Tinon, S., & Veasna, M. (2009). Student achievement and education policy in a period of rapid expansion: assessment data evidence from Cambodia. International Review of Education, 55(4), 393–413.
Ministry of Education, Youth and Sports (MoEYS). (2007). Child-friendly school policy. Cambodia: Phnom Penh.
Neumark, D. (1988). Employers’ discriminatory behavior and the estimation of wage discrimination. The Journal of Human Resources, 23, 279–295.
Oaxaca, R. (1973). Male–female wage differentials in urban labor markets. International Economic Review, 14, 693–709.
Oaxaca, R. L., & Ransom, M. R. (1994). On discrimination and the decomposition of wage differentials. Journal of Econometrics, 61(1), 5–21.
Ross, K. N., Saito, M., Dolata, S., & Ikeda, M. (2001). Sample design procedures: The Grade 5 Survey. Ministry of Education and Training, Vietnam Grade 5 Assessment Study and UNESCO: Vietnam.
Saito, M., & van Cappelle, F. (2009). Approaches to monitoring the quality of education in developing countries– searching for better research-policy linkages. Paris: UNESCO-IIEP.
UNESCO (2011a). Education for All Global Monitoring Report (EFA) 2010. Oxford University Press.
UNESCO. (2011b). World Education Indicators 2010. Paris: UNESCO.
UNICEF. (2008). An analysis of out of school children in Cambodia: Demographic and Health Survey 2000 and 2005. Phnom Penh: UNICEF.
Acknowledgement
We would like to thank Ou Eng (Project Manager) and Lynn Dudley (Chief Technical Advisor) from the Cambodia Education Sector Support Project (CESSP) for their support throughout the CESSP project period. Very useful comments were provided by Deon Filmer and Luis Benveniste. The views expressed here do not reflect those of the Cambodian Ministry of Education, Youth and Sport, the RAND Corporation or the World Bank.
Author information
Authors and Affiliations
Corresponding author
Data appendix
Data appendix
Rights and permissions
About this article
Cite this article
Marshall, J.H., Chinna, U., Hok, U.N. et al. Student achievement and education system performance in a developing country. Educ Asse Eval Acc 24, 113–134 (2012). https://doi.org/10.1007/s11092-012-9142-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11092-012-9142-x