Data Collection
The Best Value in Formative Assessment
The Best Value in Formative Assessment.
Educational Leadership, 65(4), 14-19.
Why Teachers Must Be Data Experts
(2010). Why Teachers Must Be Data Experts.
Educational Leadership.
Developing Early Warning Systems to Identify Potential High School Dropouts
(2008). Developing Early Warning Systems to Identify Potential High School Dropouts.
Issue Brief. National High School Center.
Identifying Potential Dropouts: Key Lessons for Building an Early Warning Data System
(2006). Identifying Potential Dropouts: Key Lessons for Building an Early Warning Data System.
Achieve and Jobs for the Future, funded by Carnegie Corp. of New York.
Use of Data
Information, often in the form of facts or figures obtained from various sources, is used as a basis for making calculations or drawing conclusions.
Model Programs:
PARAD developed by the National Dropout Prevention Center
Dropout Risk Factors and Exemplary Programs a Technical Report
This study, conducted by NDPC/N, and sponsored by Communities In
Schools Inc., finds that there are multiple risk factors which increase
the likelihood that students will drop out. The evidence clearly shows
that dropout is always the result of a long process of disengagement
that sometimes begins before the child enrolls in kindergarten. The
report also provides information on 50 programs that were found to be
effective in addressing these risk factors.
Read the Report
