The Predictive Validity of the Early Warning System Tool

Evelyn Johnson; Carrie Semmelroth

doi:10.1177/0192636510380789

The Predictive Validity of the Early Warning System Tool

Evelyn Johnson
, Carrie Semmelroth

Boise State University

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Abstract

The Early Warning System (EWS) is a tool developed by the National High School Center to collect data on indicators including attendance, GPA, 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 EWS 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.

Original language	American English
Journal	NASSP Bulletin
DOIs	https://doi.org/10.1177/0192636510380789
State	Published - 1 Jun 2010

Keywords

drop-out
at-risk
screening
response to intervention
RTI

EGS Disciplines

Special Education and Teaching

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10.1177/0192636510380789License: Unspecified

The Predictive Validity of the Early Warning System ToolFinal published version, 176 KBLicense: Unspecified
The Predictive Validity of the Early Warning System ToolFinal published version, 176 KBLicense: Unspecified

Cite this

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AB - The Early Warning System (EWS) is a tool developed by the National High School Center to collect data on indicators including attendance, GPA, 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 EWS 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.

KW - drop-out

KW - at-risk

KW - screening

KW - response to intervention

KW - RTI

UR - https://scholarworks.boisestate.edu/sped_facpubs/13

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DO - 10.1177/0192636510380789

M3 - Article

JO - NASSP Bulletin

JF - NASSP Bulletin

ER -

The Predictive Validity of the Early Warning System Tool

Abstract

Keywords

EGS Disciplines

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