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Abstract
The Early Warning System is a tool developed by the National High School Center to collect data on indicators including attendance, grade point average, course failures, and credits earned. These indicators have been found to be highly predictive of a student’s likelihood of dropping out of high school in large, urban areas. The Early Warning System tool was studied in two suburban schools. With the exception of attendance data, findings suggest that the indicators and suggested threshold for risk determination are predictive in suburban contexts.
Keywords dropout, at risk, screening, response to intervention, RTI
|
Allensworth, E. , & Easton, J.Q. ( 2005). The on-track indicator as a predictor of high school graduation. Chicago, IL: Consortium on Chicago School Research. Google Scholar | |
|
Allensworth, E. , & 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 freshman year. Chicago, IL: Consortium on Chicago School Research. Google Scholar | |
|
Compton, D.L. , Fuchs, D. , Fuchs, L.S. , & Bryant, J.D. ( 2006). Selecting at-risk readers in first grade for early intervention: A two-year longitudinal study of decision rules and procedures. Journal of Educational Psychology, 98, 394-409. Google Scholar | Crossref | ISI | |
|
Garson, G.D. ( 2009). Log-linear, logit, and probit models. In Statnotes: Topics in multivariate analysis. Retrieved from http://faculty.chass.ncsu.edu/garson/pa765/statnote.htm Google Scholar | |
|
Heppen, J.B. , O’Cummings, M. , & Therriault, S.B. (2008). Early warning system tool . Washington, DC: National High School Center at the American Institutes for Research. Retrieved from http://www.betterhighschools.org/pubs/#Dropout Google Scholar | |
|
Heppen, J.B. , & Therriault, S.B. (2008, July). Developing early warning systems to identify potential high school dropouts (Issue Brief). Washington, DC: National High School Center at the American Institutes for Research. Google Scholar | |
|
Idaho Department of Education (2009). Idaho Administrative Code. Idaho State Department of Education : Boise, ID. Google Scholar | |
|
Jenkins, J.R. ( 2003, December). Candidate measures for screening at-risk students . Paper presented at the NRCLD Responsiveness-to-Intervention Symposium, Kansas City, MO. Retrieved from http://www.nrcld.org/symposium2003/jenkins/index.html Google Scholar | |
|
Jenkins, J.R. , Hudson, R.F. , & Johnson, E.S. ( 2007). Screening for service delivery in an RTI framework: Candidate measures. School Psychology Review, 36, 582-599. Google Scholar | |
|
Jerald, C.D. ( 2006). Identifying potential dropouts: Key lessons for building an early warning data system. Washington, DC: Achieve, Inc., American Diploma Project Network. Google Scholar | |
|
Johnson, E.S. , Smith, L. , & Harris, M.L. ( 2009). How RTI works in secondary schools. Thousand Oaks, CA: Corwin Press. Google Scholar | |
|
Krzanowski, W.J. , & Hand, D.J. ( 2009). ROC curves for continuous data. Boca Raton, FL: CRC Press. Google Scholar | Crossref | |
|
Mellard, D.F. , & Johnson, E.S. ( 2008). RTI: A practitioner’s guide to implementation. Thousand Oaks, CA: Corwin Press. Google Scholar | Crossref | |
|
Neild, R.C. , & Balfanz, R. ( 2006). An extreme degree of difficulty: The educational demo-graphics of urban neighborhood high schools. Journal of Education for Students Placed at Risk, 11, 123-141. Google Scholar | Crossref | |
|
Neild, R.C. , Balfanz, R. , & Herzog, L. ( 2007). An early warning system. Educational Leadership, 65(2), 28-33. Google Scholar | ISI | |
|
Pepe, M. , Janes, H. , Longton, G. , Leisenring, W. , & Newcomb, P. ( 2004). Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker. American Journal of Epidemiology, 159, 882-890. Google Scholar | Crossref | Medline | ISI | |
|
Roderick, M. ( 1993). The path to dropping out: Evidence for intervention. Westport, CT: Auburn House. Google Scholar | |
|
Rumberger, R.W. ( 2004). Why students drop out of school. In G. Orfield (Ed.), Dropouts in America: Confronting the graduation rate crisis (pp. 131-156). Cambridge, MA: Harvard Education Press. Google Scholar | |
|
Schweinhart, L.J. ( 2004). The High Scope Perry preschool study through age 40: Summary, conclusions, and frequently asked questions. Ypsilanti, MI: High Scope Press. Google Scholar | |
|
Zhou, X.H. , Obuchowski, N.A. , & Obuchowski, D.M. (2002). Statistical methods in diagnostic medicine. New York, NY: Wiley. Google Scholar | Crossref | |
|
Zweig, M.H. , & Campbell, G. ( 1993). Receiver-operating characteristic (ROC) plots: A fundamental evaluation tool in clinical medicine. Clinical Chemistry, 39, 461-577. Google Scholar | ISI |
