EconPapers    
Economics at your fingertips  
 

Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks

Julie Bruch, Jonathan Gellar, Lindsay Cattell, John Hotchkiss and Phil Killewald

Mathematica Policy Research Reports from Mathematica Policy Research

Abstract: This report provides information for administrators, researchers, and student support staff in local education agencies who are interested in identifying students who are likely to have near-term academic problems such as absenteeism, suspensions, poor grades, and low performance on state tests.

Keywords: attendance; data analysis; dropout prevention; dropout research; grades (scholastic); prediction; predictive measurement; predictive validity; predictor variables; standardized tests; statistical analysis; suspension (search for similar items in EconPapers)
Pages: 18
New Economics Papers: this item is included in nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mathematica.org/-/media/publications/p ... welfare-agencies.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mpr:mprres:2c2de769f8e44b728e9be5a90a66267c

Access Statistics for this paper

More papers in Mathematica Policy Research Reports from Mathematica Policy Research Mathematica Policy Research P.O. Box 2393 Princeton, NJ 08543-2393 Attn: Communications. Contact information at EDIRC.
Bibliographic data for series maintained by Joanne Pfleiderer () and Cindy George ( this e-mail address is bad, please contact ).

 
Page updated 2025-03-31
Handle: RePEc:mpr:mprres:2c2de769f8e44b728e9be5a90a66267c