Abstract
School leaders and teachers are increasingly required to use data as the basis for their decisions. But what does using data for decision-making mean? What counts as “data”? In this chapter, the authors address what is meant by the word “data” and what kinds of data are available and needed. The latter should overlap, but sometimes the available data are not needed and sometimes needed data are not available. In this chapter, we also discuss why teachers and school leaders should use data. Finally, the process of using data and the different ways data can and should be used is described.
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References
Bernhardt, V. (2003). Using data to improve student achievement. Educational Leadership, 60(5), 26–30.
Black, P. (2004). The nature and value of formative assessment for learning. Kings College. http://access.kcl.clientarea.net/content/1/c4/73/57/formative.pdf. Accessed 2 Aug 2012.
Booher-Jennings, J. (2005). Below the bubble: “Educational triage” and the Texas accountability system. American Educational Research Journal, 42(2), 231–268.
Boudett, K. P., City, E. A. & Murnane, R. J. (2007). Data wise. A step-by-step guide to using assessment results to improve teaching and learning. Cambridge: Harvard Education.
Buly, M. R., & Valencia, S. W. (2002). Below the bar: Profiles of students who fail state reading assessments. Education and Evaluation and Policy Analysis, 24(3), 219–239.
Campbell, C., & Levin, B. (2009). Using data to support educational improvement. Educational Assessment, Evaluation and Accountability, 21(1), 47–65.
Carlson, D., Borman, G., & Robinson, M. (2011). A multistate district-level cluster randomized trial of the impact of data-driven reform on reading and mathematics achievement. Educational Evaluation and Policy Analysis, 33(3), 378–398.
Cawelti, G., & Protheroe, N. (2001). High student achievement: How six school districts changed into high-performance systems. Arlington: Educational Research Service.
Cousins, B. J., & Leithwood, K. A. (1993). Enhancing knowledge utilization as a strategy for school improvement. Knowledge: Creation, Diffusion, Utilization, 14(3), 305–333.
Davenport, T. H., & Prusak, L. (1998). Working knowledge. How organizations manage what they know. Boston: Harvard Business School.
Earl, L., & Katz, S. (2006). Leading in a data rich world. California: Thousand Oaks Corwin.
Ehren, M. C. M., & Swanborn, M. L. (2012). Strategic data use in accountability systems. School Effectiveness and School Improvement, 23(2), 257–280.
Hamilton, L. S., Stecher, B. M., & Yuan, K. (2009). Standards-based reform in the United States: History, research, and future directions. Santa Monica: RAND Corporation. Retrieved from http://www.rand.org/pubs/reprints/RP1384.
Herman, J., & Winter, L. (2011). The turn around toolkit: Managing rapid, sustainable school improvement. California: Thousand Oakes Corwin.
Ikemoto, G. S., & Marsh, J. A. (2007). Cutting through the data-driven mantra: Different conceptions of data-driven decision making. In P. A. Moss (Ed.), Evidence and decision making. USA: Wiley-Blackwell.
Kean, M. (1996). Multiple measures: The common-sense approach to education assessment. School Administrator, 53(11), 14–16.
Lai, M. K. (2002). Planning an assessment cycle. Training module for the Mangere AUSAD schooling improvement initiaitve. Auckland: Mangere AUSAD Schooling Improvement Initiative.
Lai, M. K., McNaughton, S., Amituanai-Toloa, M., Turner, R., & Hsiao, S. (2009a). Sustained acceleration of achievement in reading comprehension: The New Zealand experience. Reading Research Quarterly, 44(1), 30–56.
Lai, M. K., McNaughton, S., Timperley, H., & Hsiao, S. (2009b). Sustaining continued acceleration in reading comprehension achievement following an intervention. Educational Assessment, Evaluation and Accountability, 21(1), 81–100.
Love, N. (2008). Using data to improve learning for all: A collaborative inquiry approach. California:Thousand Oakes Corwin.
Mourshed, M., Chijioke, C., & Barber, M. (2010). How the world’s most improved school systems keep getting better. London: McKinsey & Company.
Robinson, V. M. J., & Lai, M. K. (2006). Practitioner research for educators: A guide to improving classrooms and schools. California: Thousand Oaks Corwin.
Robinson, V. M. J., Phillips, G., & Timperley, H. (2002). Using achievement data for school-based curriculum review: A bridge too far? Leadership and Policy in Schools, 1(1), 3–29.
Rossi, P. H., Freeman, H. E., & Lipsey, M. W. (1999). Evaluation: A systematic approach. California: Thousand Oaks Sage.
Rothman, R. (2010). Principles for a comprehensive assessment system. Policy brief alliance for excellent education. http://www.all4ed.org/publication_material/Accountability. Accessed 10 Feb 2011.
Schildkamp, K., & Handelzalts, A. (2011, April). Data teams for school improvement. Paper presented at the American Educational Research Association Conference, New Orleans, USA.
Schildkamp, K., & Visscher, A. J. (2010). The utilization of a school self-evaluation instrument. Educational Studies, 36(4), 371–389.
Stufflebeam, D. L. (1983). The CIPP model for program evaluation. In F. G. Madaus, M. Scriven, D. L. Stufflebeam (Eds.), Evaluation models: Viewpoints on educational and human services evaluation. Boston and Hingham: Kluwer-Nijhoff.
Timperley, H., & Phillips, G. (2003). Changing and sustaining teachers’ expectations through professional development in literacy. Journal of Teaching and Teacher Education, 19, 627–641.
Timperley, H., & Parr, J. (2009). Chain of influence from policy to practice in the New Zealand literacy strategy. Research Papers in Education: Policy and Practice, 24(2), 135–154.
Timperley, H., Wilson, A., Barrar, H., & Fung, I. (2007). Best evidence synthesis iterations (BES) on professional learning and development. Wellington: Ministry of Education.
Weiss, C. H. (1998). Have we learned anything new about the use of evaluation? American Journal of Evaluation, 19(1), 21–33.
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Lai, M., Schildkamp, K. (2013). Data-based Decision Making: An Overview. In: Schildkamp, K., Lai, M., Earl, L. (eds) Data-based Decision Making in Education. Studies in Educational Leadership, vol 17. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4816-3_2
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