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School resources and student achievement: Data from rural India

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Abstract

In addition to basic infrastructure, what school resources are important to improve learning? This question is hard to answer due to lack of availability of appropriate data. Collaboration between researchers at US universities and a large, well-established educational foundation in India enabled this study to overcome the challenge of data availability. The study used a unique 60-item instrument—with data from 88 government schools—that generated 8 different indices of school resources. The article finds that in schools with more learning-specific facilities and more co-curricular activities children perform well in math, all else being equal. This article discusses the study’s limitations and implications for research, policy and practice.

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References

  • ASER [Annual Status of Education Report] (2013). All India ASER 2008. New Dehli: ASER Centre. http://img.asercentre.org/docs/Publications/ASER%20Reports/ASER_2013/ASER2013_report%20sections/aser2013fullreportenglish.pdf

  • APF [Azim Premji Foundation] (2013). Child Friendly School Initiative (CFSI): A process document of stakeholders’ perspectives. Karnataka: Yadgir District Institute.

  • Atherton, P., & Kingdon, G. (2010). The relative effectiveness and costs of contract and regular teachers in India. Working paper no. 15. Oxford: Centre for the Study of African Economies (CSAE).

  • Baker, D. P., Goesling, B., & LeTendre, G. K. (2002). Socioeconomic status, school quality, and national economic development: A cross-national analysis of the “Heyneman-Loxley effect” on mathematics and science achievement. Comparative Education Review, 46(3), 291–312.

    Article  Google Scholar 

  • Baker, E. L., Barton, P. E., Darling-Hammond, L., Haertel, E., Ladd, H. F., Linn, R. L., et al. (2010). Problems with the use of student test scores to evaluate teachers. Briefing paper no. 278. Washington, DC: Economic Policy Institute.

  • Burtless, G. T. (1996). Does money matter? The effect of school resources on student achievement and adult success. Washington, DC: Brookings Institution Press.

    Google Scholar 

  • Cohen, D. K., Raudenbush, S., & Ball, D. (2003). Resources, instruction, and research. Educational Evaluation and Policy Analysis, 25(2), 1–24.

    Article  Google Scholar 

  • Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research and Evaluation, 10(7), 1–9.

    Google Scholar 

  • Chudgar, A., & Luschei, T. F. (2009). National income, income inequality, and the importance of schools: A hierarchical cross-national comparison. American Education Research Journal, 46(3), 626–658.

    Article  Google Scholar 

  • Corcoran, S. P. (2010). Can teachers be evaluated by their students test scores? Should they be? The use of value-added measures of teacher effectiveness in policy and practice. Providence: Annenberg Institute for School Reform, Brown University.

    Google Scholar 

  • Directorate of State Education Research and Training (2012). Teaching-learning of environmental studies (EVS) at the primary school level: A position paper. Bengaluru, Karnataka: Karnataka D.Ed. Curriculum Framework. Research and Training Division of the Directorate of State Education.

  • Glewwe, P. W., Hanushek, E. A., Humpage, S. D., & Ravina, R. (2011). School resources and educational outcomes in developing countries: A review of the literature from 1990 to 2010. NBER working paper no. 17554. Cambridge, MA: National Bureau of Economic Research.

  • Greenwald, R., Hedges, L. V., & Laine, R. D. (1996). The effect of school resources on student achievement. Review of Educational Research, 66, 361–396.

    Article  Google Scholar 

  • Grubb, W. N. (2008). Multiple resources, multiple outcomes: Testing the “improved” school finance with NELS88. American Educational Research Journal, 45(1), 104–144.

    Article  Google Scholar 

  • Guarino, C. M., Reckase, M. D. & Wooldridge, J. (2012). Can value-added measures of teacher performance be trusted? IZA discussion paper no. 6602. http://ssrn.com/abstract=2085189

  • Hanushek, E. A. (1996). School resources and student performance. In G. Burtless (Ed.), Does money matter? The effect of school resources on student achievement and adult success (pp. 43–73). Washington, DC: Brookings Institution Press.

    Google Scholar 

  • Hanushek, E. A. (1997). Assessing the effects of school resources on student performance: An update. Educational Evaluation and Policy Analysis, 19(2), 141–164.

    Article  Google Scholar 

  • Hanushek, E. A., & Luque, J. A. (2003). Efficiency and equity in schools around the world. Economics of Education Review, 22(5), 481–502.

    Article  Google Scholar 

  • Harris, D., & Sass, T. R. (2006). Value-added models and the measurement of teacher quality. Unpublished paper. Tallahassee: Florida State University. http://itp.wceruw.org/vam/IES_Harris_Sass_EPF_Value-added_14_Stanford.pdf

  • Heyneman, S., & Loxley, W. (1983). The effect of primary school quality on academic achievement across twenty-nine high and low income countries. American Journal of Sociology, 88(6), 1162–1194.

    Article  Google Scholar 

  • Iyengar, R., & Bajaj, M. (2011). After the smoke clears: Examining curricular approaches to environmental education in Bhopal, India. Comparative Education Review, 55(3), 424–456.

    Article  Google Scholar 

  • Kingdon, G., & Banerji, R. (2008). How sound are our mathematics teachers? Insights from the SchoolTELLS survey. Learning Curve, issue XIV (March 2010), 52–55.

  • Kingdon, G., & Muzammil, M. (2013). The school governance environment in Uttar Pradesh, India: Implications for teacher accountability and effort. The Journal of Development Studies, 49(2), 251–269.

    Article  Google Scholar 

  • Kingdon, G. G., & Sipahimalani-Rao, V. (2010). Para-teachers in India: Status and impact. Economic and Political Weekly, 45(12), 59–67.

    Google Scholar 

  • Kline, R. B. (2013). Exploratory and confirmatory factor analysis. In Y. Petscher & C. Schatsschneider (Eds.), Applied quantitative analysis in the social sciences (pp. 171–207). New York: Routledge.

    Google Scholar 

  • Koedel, C., & Betts, J. (2011). Does student sorting invalidate value-added models of teacher effectiveness? An extended analysis of the Rothstein critique. Education Finance and Policy, 6(1), 18–42.

    Article  Google Scholar 

  • Krueger, A. B. (2003). Economic considerations and class size. Economic Journal, 113, 34–63.

    Article  Google Scholar 

  • Luschei, T. F., & Chudgar, A. (2011). Teachers, student achievement and national income: A cross-national examination of relationships and interactions. Prospects, 41(4), 507–533.

    Article  Google Scholar 

  • Muralidharan, K. (2013). Priorities for primary education policy in India’s 12th five-year plan. India Policy Forum, 9, 1–46.

    Google Scholar 

  • PAISA [Planning, Allocations and Expenditures, Institutions: Studies in Accountability] (2012). Do schools get their money? New Delhi: Accountability Initiative, Centre for Policy Research. http://www.accountabilityindia.in/sites/default/files/state-report-cards/paisa_report_2012.pdf

  • Rothstein, J. (2010). Teacher quality in educational production: Tracking, decay, and student achievement. The Quarterly Journal of Economics, 125(1), 175–214.

    Article  Google Scholar 

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Correspondence to Amita Chudgar.

Additional information

We acknowledge excellent support from the Azim Premji Foundation’s Child Friendly School Initiative program team, including its leaders, Rudresha S. and Uma Shankar Periodi. D. D. Karopady, former head of Research and Documentation at the Azim Premji Foundation, also provided invaluable guidance during the course of the study.

Madhur Chandra’s time on the project was supported in part by a Pre-doctoral Training Grant from the Institute of Education Sciences, US Department of Education (Award # R305B090011) to Michigan State University. The opinions expressed here are those of the authors and do not represent the views of the Institute, the US Department of Education, or Michigan State University.

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Chudgar, A., Chandra, M., Iyengar, R. et al. School resources and student achievement: Data from rural India. Prospects 45, 515–531 (2015). https://doi.org/10.1007/s11125-015-9360-3

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