ESC Materials

Resources for Early Warning Systems

Allensworth, E. M. (2013). The use of ninth-grade early warning indicators to improve Chicago schools. Journal of Education for Students Placed at Risk, 18 (1), 68–83.

Allensworth, E. M., & Easton, J. Q. (2005). The on-track indicator as a predictor of high school graduation. Chicago: University of Chicago, Consortium on Chicago School Research. Retrieved from http://ccsr.uchicago.edu/publications/track-indicator-predictor-high-school-graduation

Allensworth, E. M., & Easton, J. Q. (2007). What matters for staying on-track and graduating in Chicago public high schools: A close look at course grades, failures, and attendance in the grade 9 year. Chicago: University of Chicago, Consortium on Chicago School Research. Retrieved from http://ccsr.uchicago.edu/publications/what-matters-staying-track-and-graduating-chicago-public-schools

Balfanz, R., Bridgeland, J. M., Moore, L. A., & Fox, J. H. (2010). Building a grad nation: Progress and challenge in ending the high school dropout epidemic . Washington, DC: America’s Promise Alliance, Civic Enterprises, and Everyone Graduates Center at Johns Hopkins University. Retrieved from http://www.americaspromise.org/Our-Work/Grad-Nation/Building-a-Grad-Nation.aspx

Balfanz, R., Bridgeland, J. M., Bruce, M., & Fox, J. H. (2013). Building a grad nation: Progress and challenge in ending the high school dropout epidemic, 2013 annual update . Washington, D.C.: Civic Enterprises, the Everyone Graduates Center at Johns Hopkins University School of Education, America’s Promise Alliance, and the Alliance for Excellent Education. Retrieved from http://www.civicenterprises.net/MediaLibrary/Docs/Building-A-Grad-Nation-Report-2013_Full_v1.pdf

Balfanz, R., & Stenson, C. (2012). Using data to build early warning systems [webinar]. Washington, DC: U.S. Department of Education, School Turnaround Learning Community. Retrieved from http://www.schoolturnaroundsupport.org/resources/using-data-build-early-warning-systems

Burzichelli, C., Mackey, P. E., & Bausmith, J. (2011). Dropout prevention programs in nine Mid-Atlantic Region school districts: Additions to a dropout prevention database (Issues & Answers Report, REL 2011–No. 103). Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance, Regional Educational Laboratory Mid-Atlantic. Retrieved from http://ies.ed.gov/ncee/edlabs/projects/project.asp?ProjectID=229

Center for Social Organization of Schools, Johns Hopkins University. (2012). Using data to keep all student on track to graduation: Team playbook. Baltimore, MD: Author. Retrieved from http://new.every1graduates.org/wp-content/uploads/2012/11/Team_Playbook.pdf

Cielo, M. B., & Leveen, L. (2007). The fourth R: New research shows which academic indicators are the best predictors of high school graduation—and what interventions can help more kids graduate. Portland, OR: Connected by 25. Retrieved from http://allhandsraised.org/wp-content/uploads/2012/07/C25_Short_ReportFinalWeb.pdf

Data Quality Campaign. (2012). Supporting early warning systems: Using data to keep students on track to success (Data for Action 2012 factsheet). Washington, DC: Author. Retrieved from http://www.dataqualitycampaign.org/find-resources/supporting-early-warning-systems/

Dynarski, M., Clarke, L., Cobb, B., Finn, J., Rumberger, R., & Smink, J. (2008). Dropout prevention: A practice guide (NCEE 2008–4025). Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance. Retrieved from http://ies.ed.gov/ncee/wwc/pdf/practiceguides/dp_pg_090308.pdf

Hartman, J., Wilkins, C., Gregory, L., Feagans Gould, L., & D’Souza, S. (2011). Applying an on-track indicator for high school graduation: Adapting the Consortium on Chicago School Research indicator for five Texas districts (REL 2011–No. 100). Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance. Retrieved from http://ies.ed.gov/ncee/edlabs/regions/southwest/pdf/REL_2011100_sum.pdf

Heppen, J. B., & Therriault, S. B. (2008). Developing early warning systems to identify potential high school dropouts (Issue brief). Washington, DC: National High School Center at the American Institutes for Research. Retrieved from http://www.betterhighschools.org/pubs/documents/IssueBrief_EarlyWarningSystemsGuide.pdf

Johnson, E., & Semmelroth, C. (2010). The predictive validity of the early warning system tool. NASSP Bulletin, 94 (2), 120-134.

Kennelly L., & Monrad, M. (2007). Approaches to dropout prevention: Heeding early warning signs with appropriate interventions . Washington, DC: National High School Center at the American Institutes for Research. Retrieved from http://www.betterhighschools.org/docs/NHSC_ApproachestoDropoutPrevention.pdf

Legters, N., & Balfanz, R. (2010). Do we have what it takes to put all students on the graduation path? New Directions for Youth Development, 127, 11–24.

Mac Iver, M. A., & Messel, M. (2013). The ABCs of keeping on track to graduation: Research findings from Baltimore. Journal of Education for Students Placed at Risk, 18 (1), 50–67.

Neild, R. C., Balfanz, R., & Herzog, L. (2007). An early warning system. Educational Leadership, 65(2), 28–33.

Oakeley, C., & Weir, D. (2010, February). Freshman year success initiative (slides 118–139). Presented at the meeting of the Texas Consortium on School Research, San Antonio, TX. Retrieved from http://tcsr.edvanceresearch.com/downloads/winter_meeting/TCSR Winter Meeting PPT_02_26_10.pdf

Pinkus, L. (2008). Using early­warning data to improve graduation rates: Closing cracks in the education system. Washington, DC: Alliance for Excellence in Education. Retrieved from http://all4ed.org/reports-factsheets/using-early-warning-data-to-improve-graduation-rates-closing-cracks-in-the-education-system/

Ponder, P. (2009). Graduation pathways: Freshman year indicators: Chicago Public Schools’ theory of change [PowerPoint slides] Retrieved from http://www.necomprehensivecenter.org/events/Jan09_Ponder

Regional Educational Laboratory Southeast. (2009, May). Evidence-based education request #470 (The ways that data are being used in schools, districts, and states and by researchers to identify students at risk for not graduating and/or not achieving career and college readiness). Retrieved from http://www.serve.org/uploads/docs/EBE Responses/470_On_Track_Indicators_5.21.09.pdf

Regional Educational Laboratory West at WestEd. (2013, August). Alliances help educator access, analyze dropout data. REL West Research Digest. Retrieved from http://relwest.wested.org/pdfs/201308_relw_digest_final.pdf

Tucker, B. (2011). Texas tackles the data problem: New system will give teachers information they can use. Education Next, 11(1), 86–87.

Weir, D. (2008). Development of the Dallas ISD on­track indicator, 2007–08 (EA08-153-4). Dallas: Dallas ISD Evaluation and Accountability. Retrieved from http://www.dallasisd.org/cms/lib/TX01001475/Centricity/Shared/evalacct/evaluation/atglance2009/EA08-153-4-At-a-Glance-On-Track-Indicator.pdf


EWDS Webinar Archive

The archive will be available after November 12.

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EWDS Database Application for Dropout Prevention

Early warning data system (Version 2.2) [Software]. Austin, TX: SEDL. Retrieved from http://txcc.sedl.org/resources/ewds