Leading inquiry in schools: Examining mental models of data-informed practice

Current Issues in Education

Volumn 16, Issue 1, 2013, Pages

  Jimerson, Jo Beth ^a   McGhee, Marla W ^a  

^a TEXAS CHRISTIAN UNIVERSITY   (United States)

Author keywords

Data driven decision making; Data use; Data informed decision making; Inquiry in schools; School accountability

Indexed keywords

EID: 84877007002     PISSN: None     EISSN: 1099839X     Source Type: Journal    
DOI: None     Document Type: Article

References (60)

1. Anderson, S., Leithwood, K., & Strauss, T. (2010). Leading data use in schools: Organizational conditions and practices at the school and district levels. Leadership and Policy in Schools, 9(3), 292-327, DOI: 10.1080/15700761003731492/
2. Booher-Jennings, J. (2005). Below the bubble: "Educational triage" and the Texas accountability system. American Educational Research Journal 42(2), 231-268.
3. Boudett, K. P., City, E. A., & Murnane, R. J. (Eds.). (2005). Data Wise: A step-by-step guide to using assessment results to improve teaching and learning. Cambridge, MA: Harvard Education Press.
4. Buhle, R., & Blachowicz, C. L. Z. (2009). The assessment double play. Educational Leadership 66(4), 42-46.
5. Calhoun, E. (1994). How to use action research in the self-renewing school. Alexandria: ASCD
6. Coburn, C. E., Honig, M. I., & Stein, M. K. (2009). What's the evidence on districts' use of evidence? In J. D. Bransford, D. J. Stipek, N. J. Vye, L. M. Gomez, and D. Lam (Eds.), The role of research in educational improvement (67-87). Cambridge: Harvard Education Press.
7. Coburn, C. E., & Talbert, J. E. (2006). Conceptions of evidence use in school districts: Mapping the terrain. American Journal of Education 112 (August), 469-495.
8. Coburn, C. E., & Turner, E. O. (2012). The practice of data use: An introduction. American Journal of Education, 118 (2), 99-111.
9. Colyvas, J. A. (2012). Performance Metrics as Formal Structures and through the Lens of Social Mechanisms: When Do They Work and How Do They Influence? American Journal of Education, 118(2), 167-197.
10. Copland, M. (2003) Leadership of inquiry: Building and sustaining capacity for school improvement. Educational Evaluation and Policy Analysis 25(4), 375-395.
11. Daly, A. (2009). Rigid response in an age of accountability: The potential of leadership and trust. Educational Administration Quarterly 45(2), 168-216.
12. Datnow, A., Park, V., & Wohlstetter, P. (2007). Achieving with data: How high-performing school systems use data to improve instruction for elementary students. Los Angeles: University of Southern California.
13. Desimone, L. M., & LeFloch, K. C. (2004). Are we asking the right questions? Using cognitive interviews to improve surveys in education research. Educational Evaluation and Policy Analysis 26(1) 1-22.
14. DuFour, R., Eaker, R., & DuFour, R. (2005). Recurring themes of professional learning communities and the assumptions they challenge. In R. DuFour, R. Eaker, and R. DuFour (Eds.), On Common Ground: The Power of Professional Learning Communities (pp. 7-29). Bloomington, IN: Solution Tree.
15. Earl, L., & Fullan, M. (2003). Using data in leadership for learning. Cambridge Journal of Education, 33(3), 383-394.
16. Firestone, W. A., & Gonzalez, R. A. (2007). Culture and processes affecting data use in schools. In P. A. Moss (Ed.), Evidence and decision making (pp. 132-154). Malden, MA: Blackwell.
17. Glanz, J. (2003). Action research: An educational leader's guide to school improvement (2nd ed.). Norwood, MA: Christopher-Gordon.
18. Goren, P. (2012). Data, data, and more data-What's an educator to do? American Journal of Education, 118(2), 233-237.
19. Hamilton, L., Halverson, R., Jackson, S., Mandinach, E., Supovitz, J., & Wayman, J. (2009). Using student achievement data to support instructional decision making (NCEE 2009- 4067). Washington, DC: National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, U.S. Department of Education. Retrieved from http://ies.ed.gov/ncee/wwc/publications/practiceguides/.
20. Hendricks, C. (2009). Improving schools through action research: A comprehensive guide for educators (2nd ed.). Upper Saddle River, NJ: Pearson.
21. Holme, J. J. (2013). Exit strategies: How low-performing high schools respond to high school exit examination requirements. Teachers College Record 115(1). Accessed 3/13/13 at http://www.tcrecord.org/library IDNumber 16736.
22. Holme, J. J., Carkum, R., & Snodgrass Rangel, V. (in press). High pressure reform: Examining urban schools' response to multiple school choice policies. The Urban Review, 1-30.
23. Honig, M. I., & Venkateswaran, N. (2012). School- central office relationships in evidence use as a systems problem. American Journal of Education, 118(2), 199-222.
24. Hord, S. M. (1998). Creating a professional learning community: Cottonwood Creek School. Issues about Change 6(2), pp. 1-8.
25. Ingram, D., Louis, K. S., & Schroeder, R. G. (2004). Accountability policies and teacher decision making: Barriers to the use of data to improve practice. Teachers College Record 106(6), 1258-1287.
26. Jimerson, J. B. (2011). "Doing data": Addressing capacity for data use through professional learning. Unpublished dissertation. Austin, TX: The University of Texas at Austin.
27. Jimerson, J. B. (2012). Survey of Data Use & Professional Learning. Unpublished document.
28. Jimerson, J. B., & Wayman, J. C. (2012). Branding educational data use through professional learning: Findings from a study in three school districts. Paper presented at the 2012 Annual Meeting of the American Educational Research Association, Vancouver, British Columbia.
29. Kerr, K. I., Marsh, J. A., Ikemoto, G. S., Darilek, H., & Barney, H. (2006). Strategies to promote data use for instructional improvement: Actions, outcomes, and lessons from three urban districts. American Journal of Education 112(August), 496-520.
30. Louis, K. S., Leithwood, K., Wahlstrom, K. L., & Anderson, S. E. (2010, July). Learning from Leadership: Investigating the Links to Improved Student Learning (Final Report of Research Findings). University of Minnesota and University of Toronto.
31. Mandinach, E. B. (2012). A perfect time for data use: Using data-driven decision making to inform practice. Educational Psychologist 47(2), 71-85.
32. Mandinach, E. B., Honey, M., & Light, D. (2006). A theoretical framework for data-driven decision making. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA. Retrieved 12/8/2012 from www.cct.edc.org
33. Marsh, J. A., McCombs, J. S., & Martorell, F. (2010). How instructional coaches support data-driven decision making. Educational Policy 24(6), 872-907.
34. Marsh, J. A., Pane, J. F., & Hamilton, L. S. (2006). Making sense of data-driven decision making in education. RAND. Retrieved 12/17/2012 from http://www.rand.org/content/dam/rand/pubs/occasional_papers/2006/RAND_OP170.pdf.
35. Marshall, C., & Rossman, G. B. (1999). Designing qualitative research (3rd ed.). Newbury Park, CA: Sage.
36. Means, B., Chen, E., DeBarger, A., & Padilla, C. (2011). Teachers' ability to use data to inform instruction. Washington, D.C.: U.S. Department of Education Office of Planning, Evaluation, and Policy Development.
37. Means, B., Padilla, C., DeBarger, A., & Bakia, M. (2009). Implementing data-informed decision-making in schools-Teacher access, supports and use. Washington, D.C.: U.S. Department of Education Office of Planning, Evaluation and Policy Development.
38. Merriam, C. B. (2009). Qualitative research: A guide to design and implementation. San Francisco, CA: 2009.
39. Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis (2nd ed.). Thousand Oaks, CA: Sage.
40. Morgan, G. (2006). Images of organization. Thousand Oaks, CA: Sage Publications.
41. Nelson, S., McGhee, M. W., Slater, C., & Meno, L. (2007), Fulfilling the promise of educational accountability, Phi Delta Kappan, 88(9), 702-709.
42. Olsen, B., & Sexton, D. (2009). Threat rigidity, school reform, and how teachers view their work inside current education policy contexts. American Educational Research Journal 46(1), 9-44.
43. Park, V., & Datnow, A. (2009). Co-constructing distributed leadership: District and school connections in data-driven decision-making. School Leadership and Management, 29(5), 477-494.
44. Schildkamp, K., & Kuiper, W. (2010). Data-informed curriculum reform: Which data, what purposes, and promoting and hindering factors. Teaching and teacher education, 26, 482-496.
45. Senge, P. M. (2006). The fifth discipline: The art & practice of the learning organization (Rev). New York: Currency Doubleday.
46. Shen, J., & Cooley, V. E. (2008). Critical issues in using data for decision-making. International Journal of Leadership in Education, 11(3), 319-329.
47. Spillane, J. P., & Miele, D. B. (2007). Evidence in practice: A framing of the terrain. In P.A. Moss (Ed), Evidence and Decision Making: 106th Yearbook of the National Society for the Study of Education (46-73).
48. Supovitz, J. (2010). Knowledge-based organizational learning for instructional improvement. In Hargreaves, A., Lieberman, A., Fullan, M., & Hopkins, D. (Eds.). Second international handbook of educational change (pp. 707-723). New York: Springer.
49. Supovitz, J. A., & Klein, V. (2003). Mapping a course for improved student learning: How innovative schools systematically use student performance data to guide improvement. Philadelphia: Consortium for Policy Research in Education-University of Pennsylvania.
50. Thessin, R. A., & Starr, J. P. (2011). Supporting the growth of effective professional learning communities districtwide. Phi Delta Kappan 92(6): 48-54.
51. Tucker, B. (2010). Putting data into practice: Lessons from New York City. Washington DC: Education Sector Reports.
52. Valenzuela, A., Fuller, E., & Vasquez Heilig, J. (2006). The disappearance of high school English language learners from Texas high schools. Williams Review, 1(1), 166-200.
53. Valli, L., & Buese, D. (2007). The changing roles of teachers in an era of high-stakes accountability. American Educational Research Journal 44(3) 519-558.
54. Vasquez Heilig, J., & Darling-Hammond, L. (2008). Accountability Texas-style: The progress and learning of urban minority students in a high-stakes testing context. Educational Evaluation and Policy Analysis. 30(2), 75-110.
55. Wayman, J. C., & Cho, V. (2009). Preparing educators to effectively use student data systems. In Kowalski, T. J., & Lasley, T. J. (Eds.), Handbook on data-based decision-making in education (pp. 89-104). New York: Routledge.
56. Wayman, J. C., Cho, V., Jimerson, J. B., & Spikes, D. (2012).District-wide effects on data use in the classroom. Education Policy Analysis Archives 20(25). Retrieved from http://epaa.asu.edu/ojs/article/view/979.
57. Wayman, J. C., Cho, V., & Johnston, M. T. (2007). The data-informed district: A district-wide evaluation of data use in the Natrona County School District. Austin: The University of Texas.
58. Wayman, J. C., Jimerson, J. B., & Cho, V. (2012). Organizational considerations in establishing the Data-Informed District. School Effectiveness and School Improvement 23(2): 159-178.
59. Wayman, J. C., Spring, S. D., Lemke, M. A., Lehr, M. D. (2012, April). Using data to inform practice: effective principal leadership strategies. Paper presented at the 2012 Annual Meeting of the American Educational Research Association, Vancouver, Canada.
60. Wayman, J. C., & Stringfield, S. (2006). Technology-supported involvement of entire faculties in examination of student data for instructional improvement. American Journal of Education, 112(August), 549-571.